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ORCIDMauricio Reyes 0001
Mauricio Reyes Aguirre
Person information
- affiliation: University of Bern, Switzerland
Other persons with the same name
- Mauricio Reyes 0002 — Universidad de Valencia, Spain
- Mauricio Reyes 0003
![[0000-0001-9358-2705]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9358-2705")
— Universidad Nacional Autónoma de Mexico (UNAM) - Mauricio Reyes 0004 — Concepcion University, Electrical Engineering Department, Chile
- Mauricio Reyes 0005 — Universidad del Desarrollo, Santiago, Chile
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2020 – today
- 2024
[j33]Junlin Yang, John Anderson Garcia Henao, Nicha C. Dvornek, Jianchun He, Danielle V. Bower, Arno Depotter, Herkus Bajercius, Aurélie Pahud de Mortanges, Chenyu You, Christopher Gange, Roberta Eufrasia Ledda, Mario Silva, Charles S. Dela Cruz, Wolf Hautz, Harald M. Bonel, Mauricio Reyes, Lawrence H. Staib, Alexander Poellinger, James S. Duncan:
Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. Comput. Medical Imaging Graph. 118: 102442 (2024)- [j32]Suhang You, Roland Wiest, Mauricio Reyes:
SaRF: Saliency regularized feature learning improves MRI sequence classification. Comput. Methods Programs Biomed. 243: 107867 (2024) - [j31]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes:
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical Image Anal. 93: 103075 (2024) - [j30]Dwarikanath Mahapatra, Ruwan B. Tennakoon, Yasmeen George, Sudipta Roy, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes:
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Anal. 97: 103261 (2024) - [j29]Aurélie Pahud de Mortanges, Haozhe Luo, Shelley Zixin Shu, Amith Kamath, Yannick Suter, Mohamed Shelan, Alexander Poellinger, Mauricio Reyes:
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. npj Digit. Medicine 7(1) (2024) - [c72]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran:
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. AAAI 2024: 21378-21386 - [c71]Shelley Zixin Shu, Aurélie Pahud de Mortanges, Alexander Poellinger, Dwarikanath Mahapatra, Mauricio Reyes:
INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models. UNSURE@MICCAI 2024: 215-224 - [c70]Zahira Mercado, Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Lucas Mose, Nicolaus Andratschke, Mauricio Reyes:
AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy. CaPTion@MICCAI 2024: 221-230 - [i30]Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler:
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR abs/2403.19425 (2024) - [i29]Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Abraham Bernstein, Mauricio Reyes:
DWARF: Disease-weighted network for attention map refinement. CoRR abs/2406.17032 (2024) - [i28]Ezequiel de la Rosa, Ruisheng Su, Mauricio Reyes, Roland Wiest, Evamaria Olga Riedel, Florian Kofler, Kaiyuan Yang, Hakim Baazaoui, David Robben, Susanne Wegener, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. CoRR abs/2408.10966 (2024) - [i27]Evamaria Olga Riedel, Ezequiel de la Rosa, The Anh Baran, Moritz Roman Hernandez Petzsche, Hakim Baazaoui, Kaiyuan Yang, David Robben, Joaquin Oscar Seia, Roland Wiest, Mauricio Reyes, Ruisheng Su, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Bjoern H. Menze, Benedikt Wiestler, Susanne Wegener, Jan S. Kirschke:
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. CoRR abs/2408.11142 (2024) - 2023
- [j28]Elias Rüfenacht, Amith Kamath, Yannick Suter, Robert Poel, Ekin Ermis, Stefan Scheib, Mauricio Reyes:
PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Comput. Methods Programs Biomed. 231: 107374 (2023) - [j27]Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes:
Graph Node Based Interpretability Guided Sample Selection for Active Learning. IEEE Trans. Medical Imaging 42(3): 661-673 (2023) - [c69]Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Nicolaus Andratschke, Mauricio Reyes:
ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. EMBC 2023: 1-4 - [c68]Amith Kamath, Robert Poel, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? ISBI 2023: 1-4 - [c67]Suhang You, Devavrat Tomar, Behzad Bozorgtabar, Mauricio Reyes:
SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift. ISBI 2023: 1-4 - [c66]Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge:
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. MICCAI (2) 2023: 276-286 - [c65]Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. MICCAI (4) 2023: 302-311 - [c64]Elias Rüfenacht, Robert Poel, Amith Kamath, Ekin Ermis, Stefan Scheib, Michael K. Fix, Mauricio Reyes:
Dose Guidance for Radiotherapy-Oriented Deep Learning Segmentation. MICCAI (9) 2023: 525-534 - [e11]Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i26]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - 2022
- [j26]Miao Kang, Xiaojun Hu, Weilin Huang, Matthew R. Scott, Mauricio Reyes:
Dual-stream pyramid registration network. Medical Image Anal. 78: 102379 (2022) - [j25]Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes:
Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image. Medical Image Anal. 81: 102551 (2022) - [j24]Dwarikanath Mahapatra, Zongyuan Ge, Mauricio Reyes:
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps. IEEE Trans. Medical Imaging 41(9): 2443-2456 (2022) - [c63]Dwarikanath Mahapatra, Behzad Bozorgtabar, Mauricio Reyes:
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. ECCV Workshops (7) 2022: 709-721 - [c62]Dwarikanath Mahapatra, Mauricio Reyes:
Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification. ECCV Workshops (7) 2022: 722-734 - [c61]Rudy Rizzo, Martyna Dziadosz, Sreenath P. Kyathanahally, Mauricio Reyes, Roland Kreis:
Reliability of Quantification Estimates in MR Spectroscopy: CNNs vs Traditional Model Fitting. MICCAI (8) 2022: 715-724 - [e10]Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso:
Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13611, Springer 2022, ISBN 978-3-031-17975-4 [contents] - [i25]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i24]Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Enrique Valenzuela Pinilla, Mauricio Reyes, Maria Inês Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, David Robben, Alexandre Hutton, Tassilo Friedrich, Teresa Zarth, Johannes Bürkle, The Anh Baran, Bjoern H. Menze, Gabriel Broocks, Lukas Meyer, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Benno Ikenberg, Benedikt Wiestler, Jan S. Kirschke:
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. CoRR abs/2206.06694 (2022) - 2021
- [j23]Adriano Pinto, Joana Amorim, Arsany Hakim, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning. IEEE Access 9: 26260-26270 (2021) - [j22]Bjoern H. Menze, Fabian Isensee, Roland Wiest, Benedikt Wiestler, Klaus H. Maier-Hein, Mauricio Reyes, Spyridon Bakas:
Analyzing magnetic resonance imaging data from glioma patients using deep learning. Comput. Medical Imaging Graph. 88: 101828 (2021) - [j21]Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger:
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis. Comput. Methods Programs Biomed. 198: 105796 (2021) - [j20]Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical Image Anal. 69: 101888 (2021) - [j19]Robert Poel, Elias Rüfenacht, Evelyn Hermann, Stefan Scheib, Peter Manser, Daniel M. Aebersold, Mauricio Reyes:
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain. Medical Image Anal. 73: 102161 (2021) - [j18]Dwarikanath Mahapatra, Alexander Pollinger, Ling Shao, Mauricio Reyes:
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation. IEEE Trans. Medical Imaging 40(10): 2548-2562 (2021) - [c60]Daniel Abler, Vincent Andrearczyk, Valentin Oreiller, Javier Barranco Garcia, Diem Vuong, Stephanie Tanadini-Lang, Matthias Guckenberger, Mauricio Reyes, Adrien Depeursinge:
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. BrainLes@MICCAI (2) 2021: 367-380 - [e9]Mauricio Reyes, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur:
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12929, Springer 2021, ISBN 978-3-030-87443-8 [contents] - [i23]Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Combining unsupervised and supervised learning for predicting the final stroke lesion. CoRR abs/2101.00489 (2021) - [i22]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i21]Jean Pablo Vieira de Mello, Thiago M. Paixão, Rodrigo Ferreira Berriel, Mauricio Reyes, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Deep Learning-based Type Identification of Volumetric MRI Sequences. CoRR abs/2106.03208 (2021) - 2020
- [j17]Xiaojun Hu, Weijian Luo, Jiliang Hu, Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest, Michael Dahlweid, Mauricio Reyes:
Brain SegNet: 3D local refinement network for brain lesion segmentation. BMC Medical Imaging 20(1): 17 (2020) - [j16]Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty:
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting. Medical Image Anal. 64: 101741 (2020) - [c59]Yannick Suter, Urspeter Knecht, Roland Wiest, Mauricio Reyes:
Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors. BrainLes@MICCAI (1) 2020: 307-317 - [c58]Jean Pablo Vieira de Mello, Thiago M. Paixão, Rodrigo Ferreira Berriel, Mauricio Reyes, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Deep Learning-based Type Identification of Volumetric MRI Sequences. ICPR 2020: 5674-5681 - [c57]José Pereira Amorim, Pedro H. Abreu, Mauricio Reyes, João A. M. Santos:
Interpretability vs. Complexity: The Friction in Deep Neural Networks. IJCNN 2020: 1-7 - [c56]Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes:
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. MLMIR@MICCAI 2020: 60-69 - [c55]Yannick Suter, Urspeter Knecht, Roland Wiest, Ekkehard Hewer, Philippe Schucht, Mauricio Reyes:
Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning. MLCN/RNO-AI@MICCAI 2020: 129-138 - [c54]Wilson Silva, Alexander Pollinger, Jaime S. Cardoso, Mauricio Reyes:
Interpretability-Guided Content-Based Medical Image Retrieval. MICCAI (1) 2020: 305-314 - [i20]Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes:
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks. CoRR abs/2008.04139 (2020) - [i19]Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger:
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis. CoRR abs/2010.03639 (2020)
2010 – 2019
- 2019
- [j15]Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. Comput. Vis. Image Underst. 184: 57-65 (2019) - [j14]Vimal Chandran, Ghislain Maquer, Thomas Gerig, Philippe Zysset, Mauricio Reyes:
Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis. Medical Image Anal. 52: 42-55 (2019) - [c53]Michael Rebsamen, Christian Rummel, Ines Mürner-Lavanchy, Mauricio Reyes, Roland Wiest, Richard McKinley:
Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. ABCD-NP@MICCAI 2019: 26-34 - [c52]Alain Jungo, Mauricio Reyes:
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. MICCAI (2) 2019: 48-56 - [c51]Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes:
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation. MICCAI (2) 2019: 273-281 - [c50]Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes:
Dual-Stream Pyramid Registration Network. MICCAI (2) 2019: 382-390 - [c49]Fabian Balsiger, Olivier Scheidegger, Pierre G. Carlier, Benjamin Marty, Mauricio Reyes:
On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting. MIDL 2019: 27-38 - [e8]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I. Lecture Notes in Computer Science 11383, Springer 2019, ISBN 978-3-030-11722-1 [contents] - [e7]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II. Lecture Notes in Computer Science 11384, Springer 2019, ISBN 978-3-030-11725-2 [contents] - [e6]Kenji Suzuki, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi:
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11797, Springer 2019, ISBN 978-3-030-33849-7 [contents] - [i18]Richard McKinley, Rik Wepfer, Fabian Aschwanden, Lorenz Grunder, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Franca Wagner, Roland Wiest:
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks. CoRR abs/1901.07419 (2019) - [i17]Richard McKinley, Michael Rebsamen, Raphael Meier, Mauricio Reyes, Christian Rummel, Roland Wiest:
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks. CoRR abs/1904.02436 (2019) - [i16]Richard McKinley, Lorenz Grunder, Rik Wepfer, Fabian Aschwanden, Tim Fischer, Christoph Friedli, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Roland Wiest, Franca Wagner:
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. CoRR abs/1904.03041 (2019) - [i15]Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. CoRR abs/1904.10781 (2019) - [i14]Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes:
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation. CoRR abs/1906.02281 (2019) - [i13]Alain Jungo, Mauricio Reyes:
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation. CoRR abs/1907.03338 (2019) - [i12]Xiaojun Hu, Miao Kang, Weilin Huang, Matthew R. Scott, Roland Wiest, Mauricio Reyes:
Dual-Stream Pyramid Registration Network. CoRR abs/1909.11966 (2019) - [i11]Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty:
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting. CoRR abs/1911.03786 (2019) - 2018
- [j13]Hans Martin Kjer, Jens Fagertun, Wilhelm Wimmer, Nicolas Gerber, Sergio Vera, Livia Barazzetti, Nerea Mangado Lopez, Mario Ceresa, Gemma Piella, Thomas Stark, Martin Stauber, Mauricio Reyes, Stefan Weber, Marco Caversaccio, Miguel Ángel González Ballester, Rasmus R. Paulsen:
Patient-specific estimation of detailed cochlear shape from clinical CT images. Int. J. Comput. Assist. Radiol. Surg. 13(3): 389-396 (2018) - [j12]Sérgio Pereira, Raphael Meier, Richard McKinley, Roland Wiest, Victor Alves, Carlos A. Silva, Mauricio Reyes:
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. Medical Image Anal. 44: 228-244 (2018) - [j11]Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes:
Highly Accurate Facial Nerve Segmentation Refinement From CBCT/CT Imaging Using a Super-Resolution Classification Approach. IEEE Trans. Biomed. Eng. 65(1): 178-188 (2018) - [c48]Yannick Suter, Christian Rummel, Roland Wiest, Mauricio Reyes:
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. ISBI 2018: 1052-1055 - [c47]Fabian Balsiger, Amaresha Shridhar Konar, Shivaprasad Chikop, Vimal Chandran, Olivier Scheidegger, Sairam Geethanath, Mauricio Reyes:
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks. MLMIR@MICCAI 2018: 39-46 - [c46]Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. MLCN/DLF/iMIMIC@MICCAI 2018: 106-114 - [c45]Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. MICCAI (3) 2018: 107-115 - [c44]Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. BrainLes@MICCAI (2) 2018: 429-440 - [c43]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes:
Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. MICCAI (2) 2018: 580-588 - [c42]Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. MICCAI (1) 2018: 682-690 - [e5]Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Bjoern H. Menze, Mauricio Reyes:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10670, Springer 2018, ISBN 978-3-319-75237-2 [contents] - [e4]Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier:
Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11038, Springer 2018, ISBN 978-3-030-02627-1 [contents] - [i10]Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. CoRR abs/1806.02562 (2018) - [i9]Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes:
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation. CoRR abs/1806.03106 (2018) - [i8]Adriano Pinto, Sérgio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes:
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction. CoRR abs/1806.04413 (2018) - [i7]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes:
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network. CoRR abs/1806.05473 (2018) - [i6]Fabian Balsiger, Amaresha Shridhar Konar, Shivaprasad Chikop, Vimal Chandran, Olivier Scheidegger, Sairam Geethanath, Mauricio Reyes:
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks. CoRR abs/1807.06356 (2018) - [i5]Sérgio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva:
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment. CoRR abs/1809.09468 (2018) - [i4]Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.:
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - [i3]Yannick Suter, Alain Jungo, Michael Rebsamen, Urspeter Knecht, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction. CoRR abs/1811.04907 (2018) - 2017
- [c41]Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes:
Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation. BrainLes@MICCAI 2017: 169-177 - [c40]Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta, David Molina-García, Víctor M. Pérez-García, Roland Wiest, Mauricio Reyes:
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI 2017: 474-485 - [e3]M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer:
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10555, Springer 2017, ISBN 978-3-319-67563-3 [contents] - [i2]Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes:
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. CoRR abs/1703.00312 (2017) - 2016
- [c39]Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes:
Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging. CURAC 2016: 143-144 - [c38]