|
SaRF: Saliency regularized feature learning improves MRI sequence classification
S You, R Wiest, M Reyes
Computer Methods and Programs in Biomedicine 243, 107867, 2024
|
|
2024 |
|
Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation
E Rüfenacht, R Poel, A Kamath, E Ermis, S Scheib, MK Fix, M Reyes
International Conference on Medical Image Computing and Computer-Assisted …, 2023
|
1 |
2023 |
|
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity
A Kamath, J Willmann, N Andratschke, M Reyes
International Conference on Medical Image Computing and Computer-Assisted …, 2023
|
|
2023 |
|
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification
D Mahapatra, AJ Jimeno Yepes, S Kuanar, S Roy, B Bozorgtabar, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
|
|
2023 |
|
MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ...
arXiv preprint arXiv:2308.16139, 2023
|
2 |
2023 |
|
Saliency-enhanced content-based image retrieval for diagnosis support in dermatology consultation: Reader study
M Gassner, JB Garcia, S Tanadini-Lang, F Bertoldo, F Fröhlich, ...
JMIR dermatology 6 (1), e42129, 2023
|
1 |
2023 |
|
Deep-Learning-Based Dose Predictor for Glioblastoma–Assessing the Sensitivity and Robustness for Dose Awareness in Contouring
R Poel, AJ Kamath, J Willmann, N Andratschke, E Ermiş, DM Aebersold, ...
Cancers 15 (17), 4226, 2023
|
|
2023 |
|
A multiclass radiomics method–based WHO severity scale for improving COVID-19 patient assessment and disease characterization from CT scans
JAG Henao, A Depotter, DV Bower, H Bajercius, PT Todorova, ...
Investigative radiology, 10.1097, 2023
|
1 |
2023 |
|
ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance
A Kamath, R Poel, J Willmann, E Ermis, N Andratschke, M Reyes
Proceedings of the International Conference of the IEEE Engineering in …, 2023
|
1 |
2023 |
|
SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift
S You, D Tomar, B Bozorgtabar, M Reyes
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023
|
1 |
2023 |
|
How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation?
A Kamath, R Poel, J Willmann, N Andratschke, M Reyes
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023
|
2 |
2023 |
|
A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data
B Ocaña-Tienda, J Pérez-Beteta, JD Villanueva-García, ...
Scientific Data 10 (1), 208, 2023
|
7 |
2023 |
|
PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion
E Rüfenacht, A Kamath, Y Suter, R Poel, E Ermiş, S Scheib, M Reyes
Computer methods and programs in biomedicine 231, 107374, 2023
|
1 |
2023 |
|
Labeling, visualization, and volumetric quantification of high-grade brain glioma from mri images
M Reyes, M Müller, A Abayazeed
US Patent App. 17/992,546, 2023
|
|
2023 |
|
Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosis
M Rebsamen, R McKinley, P Radojewski, M Pistor, C Friedli, R Hoepner, ...
Human brain mapping 44 (3), 970-979, 2023
|
9 |
2023 |
|
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
ArXiv, 2023
|
5 |
2023 |
|
Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022)
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
NATURE PORTFOLIO, 2023
|
|
2023 |
|
Computer-aided diagnosis through medical image retrieval in radiology (vol 12, 20732, 2022)
W Silva, T Goncalves, K Haermae, E Schroeder, VC Obmann, ...
SCIENTIFIC REPORTS 13 (1), 2023
|
|
2023 |
|
Author Correction: Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 14 (1), 436, 2023
|
|
2023 |
|
Author correction: Computer-aided diagnosis through medical image retrieval in radiology
W Silva, T Gonçalves, K Härmä, E Schröder, VC Obmann, MC Barroso, ...
Scientific reports 13 (1), 1470, 2023
|
1 |
2023 |
|
Variations in contouring brain target volumes and Organs at Risk on 3 T vs. 7 T MRI: An intra-rater/inter-rater analysis study
R Krcek, R Poel, H Hemmatazad, M Reyes, E Ermis
Strahlentherapie und Onkologie, 215-215, 2023
|
|
2023 |
|
Evaluating automated longitudinal tumor measurements for glioblastoma response assessment
Y Suter, M Notter, R Meier, T Loosli, P Schucht, R Wiest, M Reyes, ...
Frontiers in radiology 3, 2023
|
|
2023 |
|
NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinics
AH Abayazeed, A Abbassy, M Müeller, M Hill, M Qayati, S Mohamed, ...
Neuro-oncology advances 5 (1), vdac184, 2023
|
3 |
2023 |
|
The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation
Y Suter, U Knecht, W Valenzuela, M Notter, E Hewer, P Schucht, R Wiest, ...
Scientific data 9 (1), 768, 2022
|
4 |
2022 |
|
Labeling, visualization, and volumetric quantification of high-grade brain glioma from MRI images
M Reyes, M Müller, A Abayazeed
US Patent 11,526,994, 2022
|
|
2022 |
|
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
MR Hernandez Petzsche, E de la Rosa, U Hanning, R Wiest, ...
Scientific data 9 (1), 762, 2022
|
23 |
2022 |
|
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
|
74 |
2022 |
|
Computer-aided diagnosis through medical image retrieval in radiology
W Silva, T Gonçalves, K Härmä, E Schröder, VC Obmann, MC Barroso, ...
Scientific reports 12 (1), 20732, 2022
|
9 |
2022 |
|
Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation
S You, M Reyes
Frontiers in Neuroimaging 1, 1012639, 2022
|
3 |
2022 |
|
Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification
D Mahapatra, M Reyes
European Conference on Computer Vision, 722-734, 2022
|
|
2022 |
|
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features
D Mahapatra, B Bozorgtabar, M Reyes
European Conference on Computer Vision, 709-721, 2022
|
1 |
2022 |
|
Impact of random outliers in auto-segmented targets on radiotherapy treatment plans for glioblastoma
R Poel, E Rüfenacht, E Ermis, M Müller, MK Fix, DM Aebersold, P Manser, ...
Radiation oncology 17 (1), 170, 2022
|
2 |
2022 |
|
Graph node based interpretability guided sample selection for active learning
D Mahapatra, A Poellinger, M Reyes
IEEE transactions on medical imaging 42 (3), 661-673, 2022
|
7 |
2022 |
|
Interpretability of Machine Intelligence in Medical Image Computing: 5th International Workshop, IMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore …
M Reyes, PH Abreu, J Cardoso
Springer Nature, 2022
|
1 |
2022 |
|
Interpretability-guided inductive bias for deep learning based medical image
D Mahapatra, A Poellinger, M Reyes
Medical image analysis 81, 102551, 2022
|
20 |
2022 |
|
Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting
R Rizzo, M Dziadosz, SP Kyathanahally, M Reyes, R Kreis
International Conference on Medical Image Computing and Computer-Assisted …, 2022
|
4 |
2022 |
|
Brain morphometry from post-contrast MRI to analyze data from first-seizure patients acquired with clinical protocols
M Rebsamen, R McKinley, B Jin, M Reyes, R Wiest, C Rummel
EPILEPSIA 63, 214-214, 2022
|
|
2022 |
|
Metrics reloaded: Pitfalls and recommendations for image analysis validation
L Maier-Hein, B Menze
arXiv. org, 2022
|
70 |
2022 |
|
Seizure prediction after a first unprovoked epileptic seizure: Current status of the Swiss First Study
B Jin, M Gschwind, S Ruegg, K Schindler, D Flugel, C Prosperetti, ...
EUROPEAN JOURNAL OF NEUROLOGY 29, 576-576, 2022
|
|
2022 |
|
A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms
SL Liew, BP Lo, MR Donnelly, A Zavaliangos-Petropulu, JN Jeong, ...
Scientific data 9 (1), 320, 2022
|
42 |
2022 |
|
PO-1766 Deep learning classifier for MGMT promoter methylation status in glioblastoma cancer
JB Garcia, D Abler, M Reyes, D Voung, M Guckenberger, ...
Radiotherapy and Oncology 170, S1570-S1571, 2022
|
|
2022 |
|
Dual-stream pyramid registration network
M Kang, X Hu, W Huang, MR Scott, M Reyes
Medical image analysis 78, 102379, 2022
|
84 |
2022 |
|
Metrics reloaded-a new recommendation framework for biomedical image analysis validation
A Reinke, L Maier-Hein, E Christodoulou, B Glocker, P Scholz, F Isensee, ...
Medical Imaging with Deep Learning, 2022
|
7 |
2022 |
|
Self-supervised generalized zero shot learning for medical image classification using novel interpretable saliency maps
D Mahapatra, Z Ge, M Reyes
IEEE Transactions on Medical Imaging 41 (9), 2443-2456, 2022
|
25 |
2022 |
|
A quantitative imaging biomarker supporting radiological assessment of hippocampal sclerosis derived from deep learning-based segmentation of T1w-MRI
M Rebsamen, P Radojewski, R McKinley, M Reyes, R Wiest, C Rummel
Frontiers in neurology 13, 812432, 2022
|
5 |
2022 |
|
Neuro-Oncology Advances
AH Abayazeed, A Abbassy, M Müeller, M Hill, M Qayati, S Mohamed, ...
|
|
2022 |
|
Deep learning classifier for MGMT promoter methylation status in glioblastoma cancer
J Barranco Garcia, D Abler, M Reyes, D Voung, M Guckenberger, ...
Radiotherapy & Oncology, 2022
|
|
2022 |
|
Impact of deep learning segmentation methods on the robustness of MR glioblastoma radiomics
D Vuong, K Daetwyler, M Bogowicz, P Radojewski, R Meier, M Reyes, ...
Radiotherapy & Oncology, 2022
|
|
2022 |
|
A Multi-criteria Quality Assessment of Automated Alternative Segmentations for Radiation Therapy of Brain Tumor Patients
AJ Kamath, R Münger, R Poel, E Rüfenacht, A Jungo, J Willmann, ...
|
|
2021 |
|
Interpreting deep machine learning models: an easy guide for oncologists
JP Amorim, PH Abreu, A Fernández, M Reyes, J Santos, MH Abreu
IEEE Reviews in Biomedical Engineering, 2021
|
9 |
2021 |
|
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain
R Poel, E Rüfenacht, E Hermann, S Scheib, P Manser, DM Aebersold, ...
Medical image analysis 73, 102161, 2021
|
13 |
2021 |
|
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction
D Abler, V Andrearczyk, V Oreiller, JB Garcia, D Vuong, S Tanadini-Lang, ...
International MICCAI Brainlesion Workshop, 367-380, 2021
|
|
2021 |
|
Predicting infarct core from computed tomography perfusion in acute ischemia with machine learning: Lessons from the ISLES challenge
A Hakim, S Christensen, S Winzeck, MG Lansberg, MW Parsons, C Lucas, ...
Stroke 52 (7), 2328-2337, 2021
|
39 |
2021 |
|
Cerebral CT perfusion in acute stroke: the effect of lowering the tube load and sampling rate on the reproducibility of parametric maps
GS Ioannidis, S Christensen, K Nikiforaki, E Trivizakis, K Perisinakis, ...
Diagnostics 11 (6), 1121, 2021
|
7 |
2021 |
|
Deep Learning-based Type Identification of Volumetric MRI Sequences
JP Vieira de Mello, TM Paixão, R Berriel, M Reyes, C Badue, ...
arXiv e-prints, arXiv: 2106.03208, 2021
|
|
2021 |
|
Common limitations of performance metrics in biomedical image analysis
A Reinke, M Eisenmann, MD Tizabi, CH Sudre, T Rädsch, M Antonelli, ...
Medical Imaging with Deep Learning, 2021
|
11 |
2021 |
|
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
|
118 |
2021 |
|
Combining unsupervised and supervised learning for predicting the final stroke lesion
A Pinto, S Pereira, R Meier, R Wiest, V Alves, M Reyes, CA Silva
Medical image analysis 69, 101888, 2021
|
15 |
2021 |
|
Analyzing magnetic resonance imaging data from glioma patients using deep learning
B Menze, F Isensee, R Wiest, B Wiestler, K Maier-Hein, M Reyes, S Bakas
Computerized medical imaging and graphics 88, 101828, 2021
|
33 |
2021 |
|
Interpretability-driven sample selection using self supervised learning for disease classification and segmentation
D Mahapatra, A Poellinger, L Shao, M Reyes
IEEE transactions on medical imaging 40 (10), 2548-2562, 2021
|
44 |
2021 |
|
Prediction of Stroke lesion at 90-day follow-up by fusing raw DSC-MRI with parametric maps using Deep Learning
A Pinto, J Amorim, A Hakim, V Alves, M Reyes, CA Silva
IEEE Access 9, 26260-26270, 2021
|
8 |
2021 |
|
Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks
R McKinley, R Wepfer, F Aschwanden, L Grunder, R Muri, C Rummel, ...
Scientific reports 11 (1), 1087, 2021
|
41 |
2021 |
|
Deep Learning-based Type Identification of Volumetric MRI Sequences
JPV de Mello, TM Paixão, R Berriel, M Reyes, C Badue, AF De Souza, ...
2020 25th International Conference on Pattern Recognition (ICPR), 1-8, 2021
|
5 |
2021 |
|
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data: 4th International Workshop, IMIMIC …
L Thakur, P Rahul, G Zamzmi, M Hajij, J Cardoso, PH Abreu, M Reyes
Springer, 2021
|
|
2021 |
|
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data
M Reyes, PH Abreu, J Cardoso, M Hajij, G Zamzmi, P Rahul, L Thakur
Springer International Publishing, 2021
|
2 |
2021 |
|
Overall survival prediction for glioblastoma on pre-treatment MRI using robust radiomics and priors
Y Suter, U Knecht, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
|
3 |
2021 |
|
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
A Jungo, O Scheidegger, M Reyes, F Balsiger
Computer methods and programs in biomedicine 198, 105796, 2021
|
37 |
2021 |
|
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation
M Rebsamen, C Rummel, M Reyes, R Wiest, R McKinley
Human brain mapping 41 (17), 4804-4814, 2020
|
33 |
2020 |
|
Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques
Y Suter, U Knecht, M Alão, W Valenzuela, E Hewer, P Schucht, R Wiest, ...
Cancer Imaging 20, 1-13, 2020
|
42 |
2020 |
|
Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning
E Ermiş, A Jungo, R Poel, M Blatti-Moreno, R Meier, U Knecht, ...
Radiation oncology 15 (1), 1-10, 2020
|
54 |
2020 |
|
Brain SegNet: 3D local refinement network for brain lesion segmentation
X Hu, W Luo, J Hu, S Guo, W Huang, MR Scott, R Wiest, M Dahlweid, ...
BMC medical imaging 20, 1-10, 2020
|
34 |
2020 |
|
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting
F Balsiger, A Jungo, O Scheidegger, PG Carlier, M Reyes, B Marty
Medical image analysis 64, 101741, 2020
|
22 |
2020 |
|
Interpretability vs. complexity: The friction in deep neural networks
JP Amorim, PH Abreu, M Reyes, J Santos
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
|
10 |
2020 |
|
Diagnosis of epilepsy after first seizure. Introducing the SWISS FIRST study
BZ Jin, P De Stefano, V Petroulia, C Rummel, C Kiefer, M Reyes, ...
Clinical and translational neuroscience 4 (2), 2514183X20939448, 2020
|
5 |
2020 |
|
On the interpretability of artificial intelligence in radiology: challenges and opportunities
M Reyes, R Meier, S Pereira, CA Silva, FM Dahlweid, H Tengg-Kobligk, ...
Radiology: artificial intelligence 2 (3), e190043, 2020
|
301 |
2020 |
|
Analyzing the quality and challenges of uncertainty estimations for brain tumor segmentation
A Jungo, F Balsiger, M Reyes
Frontiers in neuroscience 14, 282, 2020
|
58 |
2020 |
|
Brain morphometry estimation: From hours to seconds using deep learning
M Rebsamen, Y Suter, R Wiest, M Reyes, C Rummel
Frontiers in neurology 11, 244, 2020
|
18 |
2020 |
|
Robustness of Simultaneous Lesion and Neuroanatomy Segmentation in Multiple Sclerosis Using Deep Neural Networks
R McKinley, R Wepfer, F Aschwanden, L Grunder, R Muri, C Rummel, ...
|
|
2020 |
|
Towards mri progression features for glioblastoma patients: From automated volumetry and classical radiomics to deep feature learning
Y Suter, U Knecht, R Wiest, E Hewer, P Schucht, M Reyes
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020
|
1 |
2020 |
|
Interpretability-guided content-based medical image retrieval
W Silva, A Poellinger, JS Cardoso, M Reyes
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
|
35 |
2020 |
|
Learning bloch simulations for MR fingerprinting by invertible neural networks
F Balsiger, A Jungo, O Scheidegger, B Marty, M Reyes
Machine Learning for Medical Image Reconstruction: Third International …, 2020
|
4 |
2020 |
|
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
R McKinley, R Wepfer, L Grunder, F Aschwanden, T Fischer, C Friedli, ...
NeuroImage: Clinical 25, 102104, 2020
|
61 |
2020 |
|
Divide and conquer: stratifying training data by tumor grade improves deep learning-based brain tumor segmentation
M Rebsamen, U Knecht, M Reyes, R Wiest, R Meier, R McKinley
Frontiers in neuroscience 13, 1182, 2019
|
18 |
2019 |
|
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support: Second International Workshop, IMIMIC 2019, and 9th …
K Suzuki, M Reyes, T Syeda-Mahmood, E Konukoglu, B Glocker, R Wiest, ...
Springer Nature, 2019
|
2 |
2019 |
|
Surface-based brain morphometry for the prediction of fluid intelligence in the neurocognitive prediction challenge 2019
M Rebsamen, C Rummel, I Mürner-Lavanchy, M Reyes, R Wiest, ...
Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019
|
3 |
2019 |
|
Neural network–derived perfusion maps for the assessment of lesions in patients with acute ischemic stroke
R Meier, P Lux, S Jung, U Fischer, J Gralla, M Reyes, R Wiest, R McKinley, ...
Radiology: artificial intelligence 1 (5), e190019, 2019
|
24 |
2019 |
|
Organs at Risk Delineation for Brain Tumor Radiation Planning in Patients with Glioblastoma Using Deep Learning
E Rüfenacht, A Jungo, E Ermiş, M Blatti-Moreno, H Hemmatazad, ...
International journal of radiation oncology, biology, physics 105 (1), E718-E719, 2019
|
1 |
2019 |
|
Analysis of metabolic abnormalities in high‐grade glioma using MRSI and convex NMF
N Pedrosa de Barros, R Meier, M Pletscher, S Stettler, U Knecht, M Reyes, ...
NMR in Biomedicine 32 (8), e4109, 2019
|
8 |
2019 |
|
Stratify or inject: two simple training strategies to improve brain tumor segmentation
R Meier, M Rebsamen, U Knecht, M Reyes, R Wiest, R McKinley
arXiv preprint arXiv:1907.12941, 2019
|
1 |
2019 |
|
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
B Bozorgtabar, D Mahapatra, H von Tengg-Kobligk, A Poellinger, L Ebner, ...
Computer vision and image understanding 184, 57-65, 2019
|
34 |
2019 |
|
Fully automated segmentation of the brain resection cavity for radiation target volume definition in glioblastoma patients
E Herrmann, E Ermis, R Meier, M Blatti-Moreno, UP Knecht, ...
STRAHLENTHERAPIE UND ONKOLOGIE 195 (6), 586-586, 2019
|
1 |
2019 |
|
On the spatial and temporal influence for the reconstruction of magnetic resonance fingerprinting
F Balsiger, O Scheidegger, PG Carlier, B Marty, M Reyes
International Conference on Medical Imaging with Deep Learning, 27-38, 2019
|
9 |
2019 |
|
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks
R Mckinley, M Rebsamen, R Meier, M Reyes, C Rummel, R Wiest
arXiv preprint arXiv:1904.02436, 2019
|
10 |
2019 |
|
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain …
A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum
Springer, 2019
|
4 |
2019 |
|
Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis
V Chandran, G Maquer, T Gerig, P Zysset, M Reyes
Medical image analysis 52, 42-55, 2019
|
26 |
2019 |
|
Simultaneous lesion and neuroanatomy segmentation in multiple sclerosis using deep neural networks
R McKinley, R Wepfer, F Aschwanden, L Grunder, R Muri, C Rummel, ...
arXiv preprint arXiv:1901.07419, 2019
|
12 |
2019 |
|
Correction to: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
K Suzuki, M Reyes, T Syeda-Mahmood, E Konukoglu, B Glocker, R Wiest, ...
Interpretability of Machine Intelligence in Medical Image Computing and …, 2019
|
|
2019 |
|
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
RI McKinley, LN Grunder, R Wepfer, F Aschwanden, T Fischer, CD Friedli, ...
Cornell University, 2019
|
|
2019 |
|
Fully automated organs at risk delineation for brain tumor radiation planning in patients with glioblastoma using deep learning
E Rüfenacht, A Jungo, E Ermis, H Hemmatazad, MJ Blatti, D Aebersold, ...
Strahlentherapie und Onkologie 195 (12), 1149-1149, 2019
|
|
2019 |
|
Quantification of fat fraction and water T1 in neuromuscular diseases using deep learning-based magnetic resonance fingerprinting with water and fat separation
F Balsiger, M Reyes, O Scheidegger, PG Carlier, B Marty
Imaging Neuromusc Dis 25, 2019
|
1 |
2019 |
|
Assessing reliability and challenges of uncertainty estimations for medical image segmentation
A Jungo, M Reyes
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
|
124 |
2019 |
|
Learning shape representation on sparse point clouds for volumetric image segmentation
F Balsiger, Y Soom, O Scheidegger, M Reyes
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
|
14 |
2019 |
|
Deep learning versus classical regression for brain tumor patient survival prediction
Y Suter, A Jungo, M Rebsamen, U Knecht, E Herrmann, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
|
41 |
2019 |
|
Stroke lesion outcome prediction based on MRI imaging combined with clinical information
A Pinto, R Mckinley, V Alves, R Wiest, CA Silva, M Reyes
Frontiers in neurology 9, 1060, 2018
|
66 |
2018 |
|
On the relation between MR spectroscopy features and the distance to MRI‐visible solid tumor in GBM patients
N Pedrosa de Barros, R Meier, M Pletscher, S Stettler, U Knecht, ...
Magnetic resonance in medicine 80 (6), 2339-2355, 2018
|
5 |
2018 |
|
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
|
1584 |
2018 |
|
Identifying the best machine learning algorithms for brain tumor segmentation
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
progression assessment, and overall survival prediction in the BRATS …, 2018
|
100 |
2018 |
|
The effect of muscle ageing and sarcopenia on spinal segmental loads
D Ignasiak, W Valenzuela, M Reyes, SJ Ferguson
European Spine Journal 27, 2650-2659, 2018
|
40 |
2018 |
|
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment
S Pereira, R Meier, V Alves, M Reyes, CA Silva
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
|
113 |
2018 |
|
P01. 088 brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning
E Herrmann, E Ermis, A Jungo, M Blatti-Moreno, U Knecht, DM Aebersold, ...
Neuro-oncology 20 (suppl_3), iii250-iii251, 2018
|
2 |
2018 |
|
Segmentation of peripheral nerves from magnetic resonance neurography: a fully-automatic, deep learning-based approach
F Balsiger, C Steindel, M Arn, B Wagner, L Grunder, M El-Koussy, ...
Frontiers in neurology 9, 777, 2018
|
33 |
2018 |
|
Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network
D Mahapatra, B Bozorgtabar, JP Thiran, M Reyes
International Conference on Medical Image Computing and Computer-Assisted …, 2018
|
162 |
2018 |
|
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI
S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ...
Frontiers in neurology 9, 679, 2018
|
146 |
2018 |
|
Relating acute lesion loads to chronic outcome in ischemic stroke–an exploratory comparison of mismatch patterns and predictive modeling
S Habegger, R Wiest, BJ Weder, P Mordasini, J Gralla, L Häni, S Jung, ...
Frontiers in neurology 9, 737, 2018
|
16 |
2018 |
|
Accuracy of soft tissue prediction in surgery-first treatment concept in orthognathic surgery: A prospective study
D Holzinger, P Juergens, K Shahim, M Reyes, K Schicho, G Millesi, ...
Journal of Cranio-Maxillofacial Surgery 46 (9), 1455-1460, 2018
|
29 |
2018 |
|
P13. Semi-automatic, machine-learning based segmentation of peripheral nerves for quantitative morphometry: Comparison of low-and high-resolution MR neurography
F Balsiger, C Steindel, M Arn, B Wagner, M El-Koussy, KM Rösler, ...
Clinical Neurophysiology 129 (8), e70-e71, 2018
|
|
2018 |
|
Novel collagen matrix to increase tissue thickness simultaneous with guided bone regeneration and implant placement in esthetic implant sites: a feasibility study
V Chappuis, K Shahim, R Buser, E Koller, T Joda, M Reyes, D Buser
Int J Periodontics Restorative Dent 38 (4), 575-582, 2018
|
18 |
2018 |
|
Uncertainty-driven sanity check: application to postoperative brain tumor cavity segmentation
A Jungo, R Meier, E Ermis, E Herrmann, M Reyes
arXiv preprint arXiv:1806.03106, 2018
|
51 |
2018 |
|
Context-aware Segmentation of Peripheral Nerves from Magnetic Resonance Neurography
F Balsiger, C Steindel, M Arn, B Wagner, M El-Koussy, W Valenzuela, ...
|
|
2018 |
|
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression
Y Suter, C Rummel, R Wiest, M Reyes
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
|
4 |
2018 |
|
Patient-specific estimation of detailed cochlear shape from clinical CT images
HM Kjer, J Fagertun, W Wimmer, N Gerber, S Vera, L Barazzetti, ...
International journal of computer assisted radiology and surgery 13, 389-396, 2018
|
20 |
2018 |
|
Cutting-edge microangio-CT: new dimensions in vascular imaging and kidney morphometry
R Hlushchuk, C Zubler, S Barré, C Correa Shokiche, L Schaad, ...
American journal of physiology-renal physiology 314 (3), F493-F499, 2018
|
35 |
2018 |
|
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC …
A Crimi, S Bakas, H Kuijf, B Menze, M Reyes
Springer, 2018
|
32 |
2018 |
|
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation
S Pereira, R Meier, R McKinley, R Wiest, V Alves, CA Silva, M Reyes
Medical image analysis 44, 228-244, 2018
|
91 |
2018 |
|
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain …
A Crimi, S Bakas, H Kuijf, F Keyvan, M Reyes, T van Walsum
Conference proceedings BrainLes, 258, 2018
|
32 |
2018 |
|
Understanding and Interpreting Machine Learning in Medical Image Computing Applications: First International Workshops, MLCN 2018, DLF 2018, and IMIMIC 2018, Held in …
SM Kia, I Oguz, M Reyes, D Stoyanov, Z Taylor
Springer, 2018
|
|
2018 |
|
Understanding and interpreting machine learning in medical image computing applications
D Stoyanov, Z Taylor, SM Kia, I Oguz, M Reyes, A Martel, L Maier-Hein, ...
Springer International Publishing, 2018
|
55 |
2018 |
|
Magnetic resonance fingerprinting reconstruction via spatiotemporal convolutional neural networks
F Balsiger, A Shridhar Konar, S Chikop, V Chandran, O Scheidegger, ...
Machine Learning for Medical Image Reconstruction: First International …, 2018
|
50 |
2018 |
|
Lesion Load in acute ischemic stroke prior to interventional treatment: Mismatch patterns vs. predictive models
S Habegger, R Wiest, L Haeni, BJ Weder, J Gralla, P Mordasini, S Jung, ...
Frontiers in Neurology 9, 600, 2018
|
|
2018 |
|
Enhancing clinical MRI perfusion maps with data-driven maps of complementary nature for lesion outcome prediction
A Pinto, S Pereira, R Meier, V Alves, R Wiest, CA Silva, M Reyes
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
|
35 |
2018 |
|
On the effect of inter-observer variability for a reliable estimation of uncertainty of medical image segmentation
A Jungo, R Meier, E Ermis, M Blatti-Moreno, E Herrmann, R Wiest, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
|
79 |
2018 |
|
Pooling-free fully convolutional networks with dense skip connections for semantic segmentation, with application to brain tumor segmentation
R McKinley, A Jungo, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
|
35 |
2018 |
|
Towards uncertainty-assisted brain tumor segmentation and survival prediction
A Jungo, R McKinley, R Meier, U Knecht, L Vera, J Pérez-Beteta, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
|
66 |
2018 |
|
A novel registration-based methodology for prediction of trabecular bone fabric from clinical QCT: A comprehensive analysis
V Chandran, M Reyes, P Zysset
PloS one 12 (11), e0187874, 2017
|
9 |
2017 |
|
A deep-learning method for tissue volumetry from multi-spectral magnetic resonance imaging in multiple sclerosis
R McKinley, F Wagner, F Aschwanden, A Salman, A Chan, M Reyes, ...
MULTIPLE SCLEROSIS JOURNAL 23, 809-810, 2017
|
|
2017 |
|
Comparison of perioperative automated versus manual two-dimensional tumor analysis in glioblastoma patients
F Kellner-Weldon, C Stippich, R Wiest, V Lehmann, R Meier, J Beck, ...
European journal of radiology 95, 75-81, 2017
|
9 |
2017 |
|
Statistical analysis of the inter-individual variations of the bone shape, volume fraction and fabric and their correlations in the proximal femur
E Taghizadeh, V Chandran, M Reyes, P Zysset, P Büchler
Bone 103, 252-261, 2017
|
18 |
2017 |
|
A multiscale imaging and modelling dataset of the human inner ear
N Gerber, M Reyes, L Barazzetti, HM Kjer, S Vera, M Stauber, P Mistrik, ...
Scientific data 4 (1), 1-12, 2017
|
42 |
2017 |
|
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment: Fifth International Workshop, CMMI 2017, Second International Workshop …
MJ Cardoso, T Arbel, F Gao, B Kainz, T Van Walsum, K Shi, KK Bhatia, ...
Springer, 2017
|
|
2017 |
|
Fully automated stroke tissue estimation using random forest classifiers (FASTER)
R McKinley, L Häni, J Gralla, M El-Koussy, S Bauer, M Arnold, U Fischer, ...
Journal of Cerebral Blood Flow & Metabolism 37 (8), 2728-2741, 2017
|
84 |
2017 |
|
Method for segmenting and predicting tissue regions in patients with acute cerebral ischemia
S Bauer, M Reyes, R Wiest
US Patent App. 15/323,339, 2017
|
12 |
2017 |
|
Highly accurate facial nerve segmentation refinement from CBCT/CT imaging using a super-resolution classification approach
P Lu, L Barazzetti, V Chandran, K Gavaghan, S Weber, N Gerber, ...
IEEE transactions on biomedical engineering 65 (1), 178-188, 2017
|
29 |
2017 |
|
Perturb-and-MPM: quantifying segmentation uncertainty in dense multi-label CRFs
R Meier, U Knecht, A Jungo, R Wiest, M Reyes
arXiv preprint arXiv:1703.00312, 2017
|
4 |
2017 |
|
Automatic estimation of extent of resection and residual tumor volume of patients with glioblastoma
R Meier, N Porz, U Knecht, T Loosli, P Schucht, J Beck, J Slotboom, ...
Journal of neurosurgery 127 (4), 798-806, 2017
|
41 |
2017 |
|
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
|
459 |
2017 |
|
Fully automated enhanced tumor compartmentalization: man vs. machine reloaded
N Porz, S Habegger, R Meier, R Verma, A Jilch, J Fichtner, U Knecht, ...
PLoS One 11 (11), e0165302, 2016
|
32 |
2016 |
|
High-Throughput Glomeruli Analysis of CT Kidney Images Using Tree Priors and Scalable Sparse Computation
CC Shokiche, P Baumann, R Hlushchuk, V Djonov, M Reyes
International Conference on Medical Image Computing and Computer-Assisted …, 2016
|
1 |
2016 |
|
Diffusion tensor imaging of the human kidney: Does image registration permit scanning without respiratory triggering?
M Seif, LY Mani, H Lu, C Boesch, M Reyes, B Vogt, P Vermathen
Journal of magnetic resonance imaging 44 (2), 327-334, 2016
|
18 |
2016 |
|
Biomechanical role of bone anisotropy estimated on clinical CT scans by image registration
E Taghizadeh, M Reyes, P Zysset, A Latypova, A Terrier, P Büchler
Annals of biomedical engineering 44, 2505-2517, 2016
|
24 |
2016 |
|
FISICO: fast image segmentation correction
W Valenzuela, SJ Ferguson, D Ignasiak, G Diserens, L Häni, R Wiest, ...
PLoS One 11 (5), e0156035, 2016
|
9 |
2016 |
|
Statistical Shape Model of the Leg to Improve the Treatment of Patella Pathology in Total Knee Arthroplasty
E Taghizadeh, P Büchler, MA Reyes Aguirre
University of Bern, 2016
|
|
2016 |
|
Clinical evaluation of a fully-automatic segmentation method for longitudinal brain tumor volumetry
R Meier, U Knecht, T Loosli, S Bauer, J Slotboom, R Wiest, M Reyes
Scientific reports 6 (1), 23376, 2016
|
113 |
2016 |
|
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany …
A Crimi, B Menze, O Maier, M Reyes, H Handels
Springer, 2016
|
15 |
2016 |
|
CRF-based brain tumor segmentation: alleviating the shrinking bias
R Meier, U Knecht, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
|
20 |
2016 |
|
Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging.
P Lu, L Barazzetti, V Chandran, KA Gavaghan, S Weber, N Gerber, ...
CURAC, 143-144, 2016
|
|
2016 |
|
Nabla-net: A deep dag-like convolutional architecture for biomedical image segmentation
R McKinley, R Wepfer, T Gundersen, F Wagner, A Chan, R Wiest, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
|
64 |
2016 |
|
Advanced Design System for Infantile Cranium Shape Model Growth Prediction
K Shahim, M Reyes, R Simon, P Jürgens, C Blecher
Medical Imaging and Augmented Reality: 7th International Conference, MIAR …, 2016
|
|
2016 |
|
Segmenting the ischemic penumbra: a decision forest approach with automatic threshold finding
R McKinley, L Häni, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
|
22 |
2016 |
|
Parameter learning for CRF-based tissue segmentation of brain tumors
R Meier, V Karamitsou, S Habegger, R Wiest, M Reyes
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
|
22 |
2016 |
|
Computational Image-Guided Technologies in Cranio-Maxillofacial Soft Tissue Planning and Simulation
M Reyes, K Shahim, P Jürgens
Computer-Assisted Musculoskeletal Surgery: Thinking and Executing in 3D, 43-56, 2016
|
|
2016 |
|
Fast prediction of femoral biomechanics using supervised machine learning and statistical shape Modeling
E Taghizadeh, M Kistler, P Büchler, M Reyes
Computational biomechanics for medicine: imaging, modeling and computing …, 2016
|
8 |
2016 |
|
Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features
E Rios Velazquez, R Meier, WD Dunn Jr, B Alexander, R Wiest, S Bauer, ...
Scientific reports 5 (1), 16822, 2015
|
97 |
2015 |
|
Statistical Model of Bone Mechanical Properties
E Taghizadeh, MA Reyes Aguirre, P Büchler
|
|
2015 |
|
Automatic multi-resolution shape modeling of multi-organ structures
JJ Cerrolaza, M Reyes, RM Summers, MÁ González-Ballester, ...
Medical image analysis 25 (1), 11-21, 2015
|
56 |
2015 |
|
Soft tissue alterations in esthetic postextraction sites: a 3-dimensional analysis
V Chappuis, O Engel, K Shahim, M Reyes, C Katsaros, D Buser
Journal of dental research 94 (9_suppl), 187S-193S, 2015
|
197 |
2015 |
|
Facial nerve image enhancement from CBCT using supervised learning technique
P Lu, L Barazzetti, V Chandran, K Gavaghan, S Weber, N Gerber, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
|
13 |
2015 |
|
Correction tool for active shape model based lumbar muscle segmentation
W Valenzuela, SJ Ferguson, D Ignasiak, G Diserens, P Vermathen, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
|
8 |
2015 |
|
TU‐AB‐BRA‐11: Evaluation of Fully Automatic Volumetric GBM Segmentation in the TCGA‐GBM Dataset: Prognosis and Correlation with VASARI Features
E Rios Velazquez, R Meier, W Dunn, B Alexander, R Wiest, S Bauer, ...
Medical physics 42 (6Part31), 3589-3589, 2015
|
2 |
2015 |
|
Image registration for triggered and non‐triggered DTI of the human kidney: Reduced variability of diffusion parameter estimation
M Seif, H Lu, C Boesch, M Reyes, P Vermathen
Journal of magnetic resonance imaging 41 (5), 1228-1235, 2015
|
27 |
2015 |
|
Neuroradiologie: Kommt jetzt der Einzug der computerassistierten Befundung?
R Wiest, C Rummel, S Bauer, R Meier, M Reyes, J Slotboom, J Gralla
Swiss Medical Forum 15 (0102), 30-33, 2015
|
|
2015 |
|
Including anisotropic information of trabecular bone using image registration
E Taghizadeh, A Latypova, GB Maquer, MA Reyes Aguirre, P Büchler
|
|
2015 |
|
Fast Correction Method for Abdominal Multi-Organ Segmentation Using 2D/3D Free Form Deformation and Posterior Shape Models
W Valenzuela, J Cerrolaza, RM Summers, M George Linguraru, M Reyes
Interactive Medical Image Computing—IMIC/MICCAI 2015, 1-8, 2015
|
5 |
2015 |
|
Proceedings of the Multimodal Brain Tumor Image Segmentation Challenge held in conjunction with MICCAI 2015
B Menze, M Reyes, K Farahani, J Kalpathy-Cramer, D Kwon
|
|
2015 |
|
Prediction of trabecular bone anisotropy from quantitative computed tomography using supervised learning and a novel morphometric feature descriptor
V Chandran, P Zysset, M Reyes
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
|
7 |
2015 |
|
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
|
4909 |
2014 |
|
Image-based vs. mesh-based statistical appearance models of the human femur: implications for finite element simulations
S Bonaretti, C Seiler, C Boichon, M Reyes, P Büchler
Medical engineering & physics 36 (12), 1626-1635, 2014
|
29 |
2014 |
|
Improvements in angio-mu CT: What the kidney morphometry will look like
R Hlushchuk, CC Shokiche, L Schaad, M Wnuk, C Zubler, S Barre, ...
SWISS MEDICAL WEEKLY 144, 19S-19S, 2014
|
|
2014 |
|
Appearance-and context-sensitive features for brain tumor segmentation
R Meier, S Bauer, J Slotboom, R Wiest, M Reyes
Proceedings of MICCAI BRATS Challenge, 020-026, 2014
|
86 |
2014 |
|
O2. 03 TARGET DELINEATION IN GLIOBLASTOMA: IS PREOPERATIVE AUTOMATIC COMPARABLE TO EXPERT BASED SEGMENTATION?
A Pica, D Terribilini, N Porz, M Reyes, J Slotboom, R Wiest, S Bauer
Neuro-oncology 16 (suppl_2), ii3-ii3, 2014
|
1 |
2014 |
|
Time‐lapse microscopy and classification of 2D human mesenchymal stem cells based on cell shape picks up myogenic from osteogenic and adipogenic differentiation
C Seiler, A Gazdhar, M Reyes, LM Benneker, T Geiser, KA Siebenrock, ...
Journal of tissue engineering and regenerative medicine 8 (9), 737-746, 2014
|
28 |
2014 |
|
3d face reconstruction from video using 3d morphable model and silhouette
C Baumberger, M Reyes, M Constantinescu, R Olariu, E De Aguiar, ...
2014 27th SIBGRAPI Conference on Graphics, Patterns and Images, 1-8, 2014
|
21 |
2014 |
|
Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients
S Bauer, PP Gratz, J Gralla, M Reyes, R Wiest
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
|
9 |
2014 |
|
Multi-modal glioblastoma segmentation: man versus machine
N Porz, S Bauer, A Pica, P Schucht, J Beck, RK Verma, J Slotboom, ...
PloS one 9 (5), e96873, 2014
|
164 |
2014 |
|
Interactive segmentation of MR images from brain tumor patients
S Bauer, N Porz, R Meier, A Pica, J Slotboom, R Wiest, M Reyes
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 862-865, 2014
|
4 |
2014 |
|
Image co-registration for respiratory triggered and non-triggered DTI of the transplanted kidney
M Seif, LY Mani, H Lu, M Reyes, B Vogt, C Boesch, P Vermathen
Proc. Intl. Soc. Mag. Reson. Med 22, 4355, 2014
|
|
2014 |
|
Including the trabecular anisotropy from registered microCT data in homogenized FE model improves the bone's mechanical predictions
E Taghizadeh, GB Maquer, MA Reyes Aguirre, P Büchler
|
3 |
2014 |
|
Patient specific simulation for planning of cochlear implantation surgery
S Vera, F Perez, C Balust, R Trueba, J Rubió, R Calvo, X Mazaira, ...
Clinical Image-Based Procedures. Translational Research in Medical Imaging …, 2014
|
4 |
2014 |
|
Spatially varying registration using Gaussian processes
T Gerig, K Shahim, M Reyes, T Vetter, M Lüthi
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
|
28 |
2014 |
|
Generalized multiresolution hierarchical shape models via automatic landmark clusterization
JJ Cerrolaza, A Villanueva, M Reyes, R Cabeza, MA González Ballester, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
|
9 |
2014 |
|
Patient-specific semi-supervised learning for postoperative brain tumor segmentation
R Meier, S Bauer, J Slotboom, R Wiest, M Reyes
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
|
63 |
2014 |
|
Integrated spatio-temporal segmentation of longitudinal brain tumor imaging studies
S Bauer, J Tessier, O Krieter, LP Nolte, M Reyes
Medical Computer Vision. Large Data in Medical Imaging: Third International …, 2014
|
28 |
2014 |
|
Ridge alterations post-extraction in the esthetic zone: a 3D analysis with CBCT
V Chappuis, O Engel, M Reyes, K Shahim, LP Nolte, D Buser
Journal of dental research 92 (12_suppl), 195S-201S, 2013
|
465 |
2013 |
|
iSix-Image Segmentation in Osirix
WE Valenzuela, P Vermathen, CH Boesch, LP Nolte, M Reyes
|
2 |
2013 |
|
Backward-planning for orthognatic surgery—a new inverse modelling algorithm to define the hard-tissue position from a desired soft-tissue surface
P Jürgens, K Shahim, P Cattin, HF Zeilhofer, M Reyes
International Journal of Oral and Maxillofacial Surgery 42 (10), 1331, 2013
|
|
2013 |
|
Atlas-Based Segmentation of Tumor-Bearing Brain Images
S Bauer, R Wiest, J Slotboom, M Reyes
Tumors of the Central Nervous System, Volume 12: Molecular Mechanisms …, 2013
|
|
2013 |
|
A hybrid model for multimodal brain tumor segmentation
R Meier, S Bauer, J Slotboom, R Wiest, M Reyes
Multimodal Brain Tumor Segmentation 31, 31-37, 2013
|
108 |
2013 |
|
Accuracy improvement in Cranio-Maxillofacial soft tissue simulation using a muscle embedded meshing approach
K Shahim, O Goksel, P Jürgens, M Reyes
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
|
1 |
2013 |
|
A survey of MRI-based medical image analysis for brain tumor studies
S Bauer, R Wiest, LP Nolte, M Reyes
Physics in Medicine & Biology 58 (13), R97, 2013
|
1015 |
2013 |
|
Validity of an automatic measure protocol in distal femur for allograft selection from a three-dimensional virtual bone bank system
LE Ritacco, C Seiler, GL Farfalli, L Nolte, M Reyes, DL Muscolo, LA Tinao
Cell and Tissue Banking 14, 213-220, 2013
|
9 |
2013 |
|
3D face reconstruction from 2D pictures: first results of a web-based computer aided system for aesthetic procedures
T Oliveira-Santos, C Baumberger, M Constantinescu, R Olariu, LP Nolte, ...
Annals of biomedical engineering 41, 952-966, 2013
|
26 |
2013 |
|
Comparative evaluation of pelvic allograft selection methods
H Bousleiman, L Paul, LP Nolte, M Reyes
Annals of biomedical engineering 41, 931-938, 2013
|
7 |
2013 |
|
Hierarchical segmentation-assisted multimodal registration for MR brain images
H Lu, R Beisteiner, LP Nolte, M Reyes
Computerized medical imaging and graphics 37 (3), 234-244, 2013
|
4 |
2013 |
|
Integrated segmentation of brain tumor images for radiotherapy and neurosurgery
S Bauer, H Lu, CP May, LP Nolte, P Büchler, M Reyes
International journal of imaging systems and technology 23 (1), 59-63, 2013
|
20 |
2013 |
|
Population-based design of mandibular fixation plates with bone quality and morphology considerations
H Bousleiman, T Iizuka, LP Nolte, M Reyes
Annals of biomedical engineering 41, 377-384, 2013
|
7 |
2013 |
|
A skull-stripping filter for ITK
S Bauer, T Fejes, MA Reyes Aguirre
Insight Journal 2012, 2013
|
72 |
2013 |
|
Brain tissue segmentation in MRI by supervised classification and regularization
B Jesacher, A Reimann, R Meier, R Wiest, M Reyes, S Bauer
MICCAI Grand Challenge on MR Brain Image Segmentation workshop, 2013
|
1 |
2013 |
|
Cochlear finite element modelling, mesh quality under ssm-driven deformations
HM Kjer, M Ceresa, N Carranza, S Vera, F Pérez, L Barazzetti, M Reyes, ...
Workshop on Mesh Processing in Medical Image Analysis (Meshmed). Medical …, 2013
|
2 |
2013 |
|
Finite element model for patient-specific functional simulations of cochlear implants
M Ceresa, HM Kjer, S Vera, N Carranza, F Perez, L Barazzetti, P Mistrik, ...
Workshop on Mesh Processing in Medical Image Analysis (Meshmed). Medical …, 2013
|
2 |
2013 |
|
Prediction of cranio-maxillofacial surgical planning using an inverse soft tissue modelling approach
K Shahim, P Jürgens, PC Cattin, LP Nolte, M Reyes
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
|
16 |
2013 |
|
Analysis of 3D soft tissue changes after 1-and 2-jaw orthognathic surgery in mandibular prognathism patients
BR Kim, KM Oh, LHS Cevidanes, JE Park, HS Sim, SK Seo, M Reyes, ...
Journal of oral and maxillofacial surgery 71 (1), 151-161, 2013
|
68 |
2013 |
|
Proceedings of the miccai challenge on multimodal brain tumor image segmentation (brats) 2012
B Menze, A Jakab, S Bauer, M Reyes, M Prastawa, K Van Leemput
MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS), 77, 2012
|
11 |
2012 |
|
Segmentation of brain tumor images based on integrated hierarchical classification and regularization
S Bauer, T Fejes, J Slotboom, R Wiest, LP Nolte, M Reyes
MICCAI BraTS Workshop. Nice: Miccai Society 11, 2012
|
175 |
2012 |
|
MINIMISATION OF INTRA-OPERATIVE SHAPING OF BONE FIXATION PLATES USING POPULATION-BASED ANALYSIS
H Bou-Sleiman, LP Nolte, M Reyes
Orthopaedic Proceedings 94 (SUPP_XLIV), 18-18, 2012
|
|
2012 |
|
Capturing the multiscale anatomical shape variability with polyaffine transformation trees
C Seiler, X Pennec, M Reyes
Medical image analysis 16 (7), 1371-1384, 2012
|
44 |
2012 |
|
Automatic scan planning for magnetic resonance imaging of the knee joint
S Bauer, LE Ritacco, C Boesch, LP Nolte, M Reyes
Annals of biomedical engineering 40, 2033-2042, 2012
|
9 |
2012 |
|
Do patients treated with bimaxillary surgery have more stable condylar positions than those who have undergone single-jaw surgery?
YJ Kim, KM Oh, JS Hong, JH Lee, HM Kim, M Reyes, LHS Cevidanes, ...
Journal of oral and maxillofacial surgery 70 (9), 2143-2152, 2012
|
62 |
2012 |
|
Statistical model based shape prediction from a combination of direct observations and various surrogates: Application to orthopaedic research
R Blanc, C Seiler, G Székely, LP Nolte, M Reyes
Medical image analysis 16 (6), 1156-1166, 2012
|
57 |
2012 |
|
Incremental delaunay triangulation
S Rigaud, A Gouaillard
Insight Journal 4, 2012
|
5 |
2012 |
|
Evaluation of a portable image overlay projector for the visualisation of surgical navigation data: phantom studies
K Gavaghan, T Oliveira-Santos, M Peterhans, M Reyes, H Kim, ...
International journal of computer assisted radiology and surgery 7, 547-556, 2012
|
76 |
2012 |
|
Interest points localization for brain image using landmark‐annotated atlas
H Lu, LP Nolte, M Reyes
International journal of imaging systems and technology 22 (2), 145-152, 2012
|
12 |
2012 |
|
Skull-stripping for tumor-bearing brain images
S Bauer, LP Nolte, M Reyes
arXiv preprint arXiv:1204.0357, 2012
|
25 |
2012 |
|
Development and implementation of a web-enabled 3D consultation tool for breast augmentation surgery based on 3D-image reconstruction of 2D pictures
P de Heras Ciechomski, M Constantinescu, J Garcia, R Olariu, I Dindoyal, ...
Journal of medical Internet research 14 (1), e21, 2012
|
59 |
2012 |
|
Geometric and Intensity EPI Distortion Correction for 7T fMRI Using Simultaneous Classification and Registration
H Lu, W Van der Zwaag, LP Nolte, MA Reyes Aguirre
|
|
2012 |
|
DTI in human kidney: image co-registration improves signal stability and lowers variability in diffusion parameter estimation
P Vermathen, H Lu, T Binser, U Eisenberger, C Boesch, M Reyes
Proceedings of the 20th Annual Meeting of ISMRM, Melbourne, Australia, 2012
|
1 |
2012 |
|
Population-based design of mandibular plates based on bone quality and morphology
H Bousleiman, C Seiler, T Iizuka, LP Nolte, M Reyes
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012
|
3 |
2012 |
|
Statismo-A framework for PCA based statistical models
M Lüthi, R Blanc, T Albrecht, T Gass, O Goksel, P Büchler, M Kistler, ...
The Insight Journal 2012, 1-18, 2012
|
80 |
2012 |
|
Evidence based development of a novel lateral fibula plate (VariAx Fibula) using a real CT bone data based optimization process during device development
AP Schulz, N Reimers, F Wipf, M Vallotton, S Bonaretti, N Kozic, M Reyes, ...
The Open Orthopaedics Journal 6, 1, 2012
|
28 |
2012 |
|
Soft-tissue simulation for cranio-maxillofacial surgery: clinical needs and technical aspects
H Kim, P Jürgens, M Reyes
Patient-Specific Modeling in Tomorrow's Medicine, 413-440, 2012
|
8 |
2012 |
|
Navigation-guided harvesting of autologous iliac crest graft for mandibular reconstruction
P Juergens, C Klug, Z Krol, J Beinemann, H Kim, M Reyes, ...
Journal of oral and maxillofacial surgery 69 (11), 2915-2923, 2011
|
23 |
2011 |
|
Positional changes of the condylar axis after backward or centering movements in the sagittal Ramus Split Osteotomy
MA Inostroza, A Marino, F Uribe
International Journal of Oral and Maxillofacial Surgery 40 (10), 1064, 2011
|
|
2011 |
|
Three-dimensional control of maxillary position–validation of a 3-d real time navigational prototype system for routine application in orthognathic surgery
P Juergens, H Kim, S Forter, J Beinemann, HF Zeilhofer, M Reyes, ...
International Journal of Oral and Maxillofacial Surgery 40 (10), 1064, 2011
|
|
2011 |
|
Application of a new soft-tissue simulation strategy based on a mimic muscle template model to predict the outcome in orthognatic surgery
P Juergens, H Kim, M Reyes
International Journal of Oral and Maxillofacial Surgery 40 (10), 1064, 2011
|
|
2011 |
|
Multiscale modeling for image analysis of brain tumor studies
S Bauer, C May, D Dionysiou, G Stamatakos, P Buchler, M Reyes
IEEE transactions on biomedical engineering 59 (1), 25-29, 2011
|
102 |
2011 |
|
Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm
K Marias, D Dionysiou, V Sakkalis, N Graf, RM Bohle, PV Coveney, ...
Interface Focus 1 (3), 450-461, 2011
|
36 |
2011 |
|
Allograft selection for transepiphyseal tumor resection around the knee using three-dimensional surface registration
H Bou Sleiman, LE Ritacco, L Aponte-Tinao, DL Muscolo, LP Nolte, ...
Annals of biomedical engineering 39, 1720-1727, 2011
|
20 |
2011 |
|
Diffusion weighted imaging distortion correction using hybrid multimodal image registration
H Lu, PC Cattin, LP Nolte, M Reyes
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
|
10 |
2011 |
|
Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model
S Bauer, LP Nolte, M Reyes
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
|
43 |
2011 |
|
Femur specific polyaffine model to regularize the log-domain demons registration
C Seiler, X Pennec, L Ritacco, M Reyes
Medical Imaging 2011: Image Processing 7962, 153-158, 2011
|
15 |
2011 |
|
Realidad virtual: Su aplicación en cirugía reconstructiva oncológica esquelética Presentación de un caso de osteosarcoma tibial
LE Ritacco, F Milano, L Aponte Tinao, M Risk, M Reyes, S Weber, ...
Revista de la Asociación Argentina de Ortopedia y Traumatología 76 (1), 82-87, 2011
|
4 |
2011 |
|
Portable image overlay projection for the visualization of surgical planning and navigation data
K Gerber, T Oliveira Dos Santos, M Peterhans, M Reyes, H Kim, S Weber
|
|
2011 |
|
Population-Based Design of Mandibular Fixation Plates with Bone Quality and Morphology
H Bousleiman, T Iizuka, LP Nolte, M Reyes
Conference on Medical Image Computing and Computer-Assisted Intervention …, 2011
|
|
2011 |
|
Navigation-Guided Harvesting of Autologous Iliac Crest Graft for Mandibular Reconstruction
Z Krol, J Beinemann, H Kim, M Reyes, G Guevara-Rojas, HF Zeilhofer, ...
|
|
2011 |
|
Portable image overlay projection for the visualization of surgical planning and navigation data
K Gavaghan
International Journal of Computer Assisted Radiology and Surgery 6 (1), 136, 2011
|
3 |
2011 |
|
Mesh-based vs. image-based statistical model of appearance of the human femur: a preliminary comparison study for the creation of finite element meshes
S Bonaretti, C Seiler, C Boichon, P Büchler, M Reyes
Mesh Processing in Medical Image Analysis Workshop MICCAI, 2011
|
2 |
2011 |
|
Mesh-based vs. Image-based Statistical Appearance Model of the Human Femur: A Preliminary Comparison Study for the Creation of Finite Element Meshes
S Bonaretti, C Seiler, C Boichon, P Büchler, MA Reyes Aguirre
|
1 |
2011 |
|
Imaging procedures: New methods modify surgery
P Cattin, G Schulz, M Reyes
Der MKG-Chirurg 4, 16-22, 2011
|
|
2011 |
|
Doctor-no: a suite of DoctorEye plugins by UniBe
S Bauer, M Reyes
Technical Report, 2011
|
2 |
2011 |
|
Minimization of intra-operative shaping of orthopaedic fixation plates: a population-based design
H Bou-Sleiman, LE Ritacco, LP Nolte, M Reyes
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
|
19 |
2011 |
|
Bildgebende Verfahren
P Cattin, G Schulz, M Reyes
Der MKG-Chirurg 4 (1), 16-22, 2011
|
3 |
2011 |
|
Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization
S Bauer, LP Nolte, M Reyes
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
|
477 |
2011 |
|
Geometry-aware multiscale image registration via OBBTree-based polyaffine log-demons
C Seiler, X Pennec, M Reyes
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
|
28 |
2011 |
|
A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model
H Kim, P Jürgens, S Weber, LP Nolte, M Reyes
Progress in biophysics and molecular biology 103 (2-3), 284-291, 2010
|
59 |
2010 |
|
Comparison of actual surgical outcomes and 3-dimensional surgical simulations
S Tucker, LHS Cevidanes, M Styner, H Kim, M Reyes, W Proffit, T Turvey
Journal of oral and maxillofacial surgery 68 (10), 2412-2421, 2010
|
211 |
2010 |
|
Three-dimensional surgical simulation
LHC Cevidanes, S Tucker, M Styner, H Kim, J Chapuis, M Reyes, W Proffit, ...
American journal of orthodontics and dentofacial orthopedics 138 (3), 361-371, 2010
|
200 |
2010 |
|
Multimodal target correction by local bone registration: A PET/CT evaluation
T Oliveira-Santos, T Weitzel, B Klaeser, T Krause, LP Nolte, S Weber, ...
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
|
|
2010 |
|
Computer aided surgery for percutaneous nephrolithotomy: Clinical requirement analysis and system design
T Oliveira-Santos, M Peterhans, B Roth, M Reyes, LP Nolte, G Thalmann, ...
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
|
17 |
2010 |
|
Atlas-based segmentation of brain tumor images using a Markov random field-based tumor growth model and non-rigid registration
S Bauer, C Seiler, T Bardyn, P Buechler, M Reyes
2010 annual international conference of the IEEE engineering in medicine and …, 2010
|
58 |
2010 |
|
A hybrid multimodal non-rigid registration of MR images based on diffeomorphic demons
H Lu, PC Cattin, M Reyes
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
|
26 |
2010 |
|
Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets
N Kozic, S Weber, P Büchler, C Lutz, N Reimers, MÁG Ballester, M Reyes
Medical image analysis 14 (3), 265-275, 2010
|
98 |
2010 |
|
Parametric regression of 3D medical images through the exploration of non-parametric regression models
C Seiler, X Pennec, M Reyes
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010
|
1 |
2010 |
|
Multi-modal diffeomorphic demons registration based on point-wise mutual information
H Lu, M Reyes, A Šerifović, S Weber, Y Sakurai, H Yamagata, PC Cattin
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010
|
53 |
2010 |
|
Hierarchical patch generation for multilevel statistical shape analysis by principal factor analysis decomposition
M Reyes, MAG Ballester, N Kozic, RM Summers, MG Linguraru
Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and …, 2010
|
10 |
2010 |
|
Combined statistical model of bone shape and mechanical properties for bone and implant modeling
S Bonaretti, M Reyes, M Kistler, C Seiler, P Büchler
CMBBE-Computer Methods in Biomechanics and Biomedical Engineering, 2010
|
|
2010 |
|
Combined statistical model of bone shape and mechanical properties for bone modeling
S Bonaretti, B Helgason, C Seiler, M Reyes, P Büchler
Computer Methods in Biomechanics and Biomedical Engineering 24, 27, 2010
|
|
2010 |
|
Automated cement segmentation in vertebroplasty
N Kozic, S Weber, MA Gonzalez Ballester, G Abdo, DA Rüfenacht, ...
Computer aided surgery 15 (1-3), 49-55, 2010
|
1 |
2010 |
|
Hierarchical Patch Generation for Multi-level Statistical Shape Analysis by Principal Factor Analysis Decomposition
MA Reyes Aguirre, MA González Ballester, N Kozic, RM Summers, ...
|
|
2010 |
|
The contracancrum oncosimulator: integrating biomechanisms across scales in the clinical context
GS Stamatakos, D Dionysiou, S Giatili, E Kolokotroni, Ε Georgiadi, ...
This volume is dedicated to cancer patients, 68, 2010
|
2 |
2010 |
|
Fast soft-tissue simulation method for cranio-maxillofacial surgery using facial muscle template models
HM Kim, P Jürgens, P Cattin, S Weber, LP Nolte, MA Reyes Aguirre
|
1 |
2010 |
|
Computer-assisted allograft selection for transepiphyseal tumor resection at the knee
H Bou Sleiman, LE Ritacco, MA Reyes Aguirre
|
1 |
2010 |
|
Patient-specific, fast soft-tissue simulation for cranio-maxillofacial surgery
HM Kim, P Jürgens, P Cattin, S Weber, LP Nolte, MA Reyes Aguirre
|
1 |
2010 |
|
CONTRACANCRUM AT THE PROJECT LEVEL: Clinically Oriented Translational Cancer Multilevel Modelling
K Marias, V Sakkalis, A Roniotis, I Karatzanis, G Stamatakos, D Dionysiou, ...
|
|
2010 |
|
A statistical shape model of bone anatomical variability for finite element assessment of bone mechanics
S Bonaretti, B Helgason, C Seiler, M Kistler, MA Reyes Aguirre, P Büchler
|
|
2010 |
|
CONTRA CANCRUM AT THE PROJECT LEVEL: The ContraCancrum Oncosimulator: Integrating Biomechanisms Across Scales in the Clinical Context
G Stamatakos, D Dionysiou, E Kolokotroni, E Georgiadi, A Roniotis, ...
|
|
2010 |
|
A Markov-Random-Field-Based Biomechanical Tumor Growth Model for Atlas-Based Segmentation of Brain Tumor Images
S Bauer, M Reyes
This volume is dedicated to cancer patients, 76, 2010
|
4 |
2010 |
|
Automatic Finite Element Mesh Generation and Correction from 3D Image Data
T Bardyn, M Reyes, S Boyd, P Büchler
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2010
|
|
2010 |
|
Automated intervertebral disc detection from low resolution, sparse MRI images for the planning of scan geometries
X Dong, H Lu, Y Sakurai, H Yamagata, G Zheng, M Reyes
Machine Learning in Medical Imaging: First International Workshop, MLMI 2010 …, 2010
|
9 |
2010 |
|
Biomechanical model of tumor growth: application to the European ContraCancrum project
C May, T Bardyn, M Reyes, P Büchler
This volume is dedicated to cancer patients, 73, 2010
|
|
2010 |
|
Mesenchymal Stem Cell Classification during Differentiation Based on Shape Information
C Seiler, A Gazdhar, T Geiser, M Reyes, B Gantenbein-Ritter
Tissue Engineering and Regenerative Medicine International Society, 2010
|
|
2010 |
|
Influence of smoothing on voxel-based mesh accuracy in micro-finite element
T Bardyn, M Reyes, X Larrea, P Büchler
Computational biomechanics for medicine, 85-93, 2010
|
17 |
2010 |
|
Anatomically-driven soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model
H Kim, P Jürgens, LP Nolte, M Reyes
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010
|
26 |
2010 |
|
Clinically oriented translational cancer multilevel modeling: The contracancrum project
K Marias, V Sakkalis, A Roniotis, C Farmaki, G Stamatakos, D Dionysiou, ...
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2010
|
33 |
2010 |
|
Population-specific evaluation of implant bone fitting using PCA shape space and level sets
N Kozic, MAG Ballester, P Buchler, N Reimers, LP Nolte, MG Linguraru, ...
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
|
2 |
2009 |
|
Anatomical variability of organs via principal factor analysis from the construction of an abdominal probabilistic atlas
M Reyes, MAG Ballester, Z Li, N Kozic, RM Summers, MG Linguraru
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
|
17 |
2009 |
|
Automatic landmark propagation for left and right symmetry assessment of tibia and femur: a computational anatomy based approach
C Seiler, S Weber, W Schmidt, F Fischer, N Reimers, M Reyes
Annual Meeting of the International Society for Computer Assisted Surgery, 2009
|
5 |
2009 |
|
Anatomical variability of organs via principal factor analysis from the construction of an abdominal probabilistic atlas
MA Reyes Aguirre, MA Gonzalez Ballester, Z Li, N Kozic, RM Summers, ...
|
|
2009 |
|
Quantifying human knee anthropometric differences between ethnic groups and gender using shape analysis
W Schmidt, MA Reyes Aguirre, F Fischer, R Geesink, LP Nolte, ...
|
6 |
2009 |
|
Anatomically considered, fast soft-tissue simulation for cranio-maxillofacial surgery
H Kim, P Jurgens, LP Nolte, S Weber, HF Zeilhofer, M Reyes
In proceedings of computer aided surgery around the Head, Paris, 2009
|
1 |
2009 |
|
Introducing computer-assisted surgery into combined PET/CT based biopsy treatments
TO Santos, T Weitzel, B Klaeser, MA Reyes Aguirre, S Weber
|
|
2009 |
|
Automatic bone density evaluation from CT images
S Bonaretti, P Büchler, N Reimers, W Schmidt, C Seiler, S Weber, ...
|
|
2009 |
|
Conditional variability of statistical shape models based on surrogate variables
R Blanc, M Reyes, C Seiler, G Székely
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
|
25 |
2009 |
|
Hierarchical Markov Random Fields applied to model soft tissue deformations on graphics hardware
C Seiler, P Büchler, LP Nolte, M Reyes, R Paulsen
Recent Advances in the 3D Physiological Human, 133-148, 2009
|
7 |
2009 |
|
Interpretability of anatomical variability analysis of abdominal organs via clusterization of decomposition modes
M Reyes, MAG Ballester, Z Li, N Kozic, RM Summers, MG Linguraru
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
|
2 |
2008 |
|
Assessment of peri-articular implant fitting based on statistical finite element modeling
S Bonaretti, N Reimers, M Reyes, A Nikitsin, A Joensson, L Nolte, ...
2008 miccai workshop-computational biomechanics for medicine. New York, USA …, 2008
|
6 |
2008 |
|
Evidence-based implant design using a statistical bone model and automated implant fitting
M Reyes, S Bonaretti, N Reimers, C Lutz, MÁG Ballester
Proc. CAOS, 379-381, 2008
|
4 |
2008 |
|
Constrained hexahedral mesh smoothing for finite element modelling from 3D image datag
MA Reyes Aguirre, X Larrea, S Boyd, MA Gonzalez Ballester, P Büchler
|
|
2008 |
|
Clusterization of deformation modes for quantitative evaluation on factor analysis techniques on statistical shape modelling
MA Reyes Aguirre, M Linguraru, LP Nolte, MA Gonzalez Ballester
|
|
2008 |
|
Evidence-based implant design using statistical bone model and automated implant fitting
MA Reyes Aguirre, S Bonaretti, N Reimers, C Lutz, MA Gonzalez Ballester
|
|
2008 |
|
Global optimisation in PCA shape space using level sets
N Kozic, M Reyes, LP Nolte, MAG Ballester
|
|
2008 |
|
Assesment of anatomical criteria across populations using statistical shape models and level sets
N Kozic, MA Reyes Aguirre, M Tannast, LP Nolte, MA Gonzalez Ballester
|
1 |
2008 |
|
Automatic mesh smoothing for finite element modelling from 3D image data.
X Larrea, MA Reyes Aguirre, S Boyd, P Büchler, MA Gonzalez Ballester
|
|
2008 |
|
Statistical finite element analysis for bone modeling
S Bonaretti, N Reimers, D Rueckert, MA Reyes Aguirre, ...
Journal of biomechanics 41 (S1), S369-S369, 2008
|
|
2008 |
|
Statistical shape space analysis based on level sets
N Kozic, MÁ González Ballester, M Tannast, LP Nolte, M Reyes
Medical Imaging and Augmented Reality: 4th International Workshop Tokyo …, 2008
|
5 |
2008 |
|
Combined statistical model of bone shape and density for orthopaedics
LB Querol, M Reyes, P Buechler, N Reimers, D Rueckert, LP Nolte, ...
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 2, S263-S264, 2007
|
|
2007 |
|
Model-based respiratory motion compensation for emission tomography image reconstruction
M Reyes, G Malandain, PM Koulibaly, MA González-Ballester, J Darcourt
Physics in Medicine & Biology 52 (12), 3579, 2007
|
101 |
2007 |
|
Segmentation propagation from deformable atlases for brain mapping and analysis
MG Linguraru, T Vercauteren, M Reyes-Aguirre, MÁG Ballester, N Ayache
Brain Research Journal 1 (4), 269-287, 2007
|
17 |
2007 |
|
Statistical bone shape analysis for image free surgery
MA Reyes Aguirre, MA González-Ballester, MG Linguraru
Acta Universitatis Cibiniensis, Technical Series 55, 121-129, 2007
|
7 |
2007 |
|
Clustering of deformation modes for quantitative evaluation of statistical shape models
MA Reyes Aguirre, MA Gonzalez Ballester
|
|
2007 |
|
On the adequacy of principal factor analysis for the study of shape variability
MAG Ballester, MG Linguraru, MR Aguirre, N Ayache
Medical Imaging 2005: Image Processing 5747, 1392-1399, 2005
|
23 |
2005 |
|
The tomography in move
G Malandain, M Reyesagirre
Pour la science, 132-137, 2005
|
1 |
2005 |
|
Respiratory motion compensation within emission tomographic reconstruction
M Reyes, G Malandain, N Ayache, J Darcourt, PM Koulibaly
|
|
2005 |
|
Respiratory Motion Compensation in Emission Tomography
MA Reyes Aguirre
University of Nice, Sophia Antipolis, France, 2005
|
3 |
2005 |
|
Respiratory motion correction in emission tomography image reconstruction
M Reyes, G Malandain, PM Koulibaly, MAG Ballester, J Darcourt
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: 8th …, 2005
|
26 |
2005 |
|
Respiratory movement correction in emission tomography
M Reyes, G Malandain, J Darcourt
Inria Sophia Antipolis, 2004
|
|
2004 |
|
Glioblastoma multiforme in a baboon
JM Herring, M Reyes, LW Dochterman, BT Bennett
Laboratory animal science 40 (6), 645-647, 1990
|
14 |
1990 |
|
Attention Shift: Interpretability Study of Texture-based Data Augmentation in Training U-Net Models for Brain Image Segmentation
S You, M Reyes
|
|
|
|
How do 3D image segmentation networks behave across the context versus foreground ratio trade-off?
A Kamath, Y Suter, S You, M Müller, J Willmann, N Andratschke, M Reyes
|
|
|
|
Fat quantification in back muscles with low lipid content: A comparison of SVS, CSI and Dixon measurements
G Diserens, M Reyes, C Boesch, P Vermathen, WE Valenzuela
|
|
|
|
Accurate and Fast Reconstruction of Magnetic Resonance Fingerprinting for Water-Fat Separation in Neuromuscular Diseases
F Balsiger, O Scheidegger, PG Carlier, M Reyes, B Marty
|
|
|
|
Soft-Tissue Simulation for Cranio-Maxillofacial Surgery
H Kim, P Jürgens, M Reyes
|
|
|
|
LNCS 11797
K Suzuki, M Reyes, T Syeda-Mahmood
|
|
|
|
A Quasi-Universal Neural Network to Model Structure Formation in the Universe
N Kaushal, F Villaescusa-Navarro, E Giusarma, Y Li, M Reyes
|
|
|
|
Le diagnostic assisté par ordinateur arrive-t-il désormais?
R Wiest, C Rummel, S Bauer, R Meier, M Reyes, J Slotboom, J Gralla
|
|
|
|
Semi-automatic, Machine Learning Segmentation of Peripheral Nerves in Healthy Volunteers and Patients
F Balsiger, M Arn, C Steindel, B Wagner, M El-Koussy, W Valenzuela, ...
|
|
|
|
MRSI-based characterization of GBM using a novel map: Expected Distance to Tumor (EDT)
NP de Barros, R Meier, S Stettler, U Knecht, E Herrmann, P Schucht, ...
|
|
|
|
Are Renal Lipids Increased in Overweight Diabetic Patients? A MR Spectroscopy and Dixon Fat/Water Imaging Study
G Diserens, W Valenzuela, M Seif, L Mani, D Fuster, C Stettler, B Vogt, ...
|
|
|
|
Automatic tissue-type classification of 1H-MRSI spectra in patients with glioblastoma
NP de Barros, R Meier, M Pletscher, U Knecht, M Reyes, R Wiest, ...
|
|
|
|
Constrained hexahedral mesh smoothing for Finite Element modelling from 3D image data
M Reyes, X Larrea, S Boyd, MA Gonzalez, P Büchler
|
|
|
|
DTI of the Human Kidney: Does Image Co-Registration Permit Non-Triggered Scanning?
M Seif, H Lu, C Boesch, M Reyes, P Vermathen
|
|
|
|
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
B Bozorgtabar, D Mahapatra, JP Thiran, M Reyes
|
|
|
|
Medical Image Analysis Laboratory (MIALab): An Educational Approach to Medical Image Analysis using Machine Learning
F Balsiger, A Jungo, Y Suter, M Reyes
|
|
|
|
Deformable Models for Medical Image Segmentation
M Reyes
|
|
|
|
PostoperativeBrainTumorSegmentation
R Meier, S Bauer, J Slotboom, R Wiest, M Reyes
|
|
|
|
SIBGRAPI 2014
C Baumberger, M Reyes, M Constantinescu, R Olariu, E de Aguiar, ...
|
|
|
|
BraTumIA
S Bauer, T Fejes, R Meier, M Reyes, J Slotboom, N Porz, A Pica, R Wiest
|
|
|
|
Simultaneous Multiscale Polyaffine Registration by Incorporating Deformation Statistics
C Seiler, X Pennec, M Reyes
|
6
*
|
|
