Mauricio Reyes
Orcid: 0000-0002-2434-9990Affiliations:
- University of Bern, Switzerland
According to our database1,
Mauricio Reyes
authored at least 113 papers
between 2005 and 2024.
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Bibliography
2024
Comput. Methods Programs Biomed., January, 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion.
Comput. Methods Programs Biomed., April, 2023
IEEE Trans. Medical Imaging, March, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation?
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps.
IEEE Trans. Medical Imaging, 2022
Medical Image Anal., 2022
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset.
CoRR, 2022
CoRR, 2022
Reliability of Quantification Estimates in MR Spectroscopy: CNNs vs Traditional Model Fitting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation.
IEEE Trans. Medical Imaging, 2021
The predictive value of segmentation metrics on dosimetry in organs at risk of the brain.
Medical Image Anal., 2021
Combining unsupervised and supervised learning for predicting the final stroke lesion.
Medical Image Anal., 2021
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis.
Comput. Methods Programs Biomed., 2021
Comput. Medical Imaging Graph., 2021
Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning.
IEEE Access, 2021
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Spatially regularized parametric map reconstruction for fast magnetic resonance fingerprinting.
Medical Image Anal., 2020
BMC Medical Imaging, 2020
Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis.
Medical Image Anal., 2019
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays.
Comput. Vis. Image Underst., 2019
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence.
CoRR, 2019
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks.
CoRR, 2019
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks.
CoRR, 2019
On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Highly Accurate Facial Nerve Segmentation Refinement From CBCT/CT Imaging Using a Super-Resolution Classification Approach.
IEEE Trans. Biomed. Eng., 2018
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation.
Medical Image Anal., 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation.
CoRR, 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018
Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
CoRR, 2017
Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
2016
High-Throughput Glomeruli Analysis of μ CT Kidney Images Using Tree Priors and Scalable Sparse Computation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging.
Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016
2015
IEEE Trans. Medical Imaging, 2015
Medical Image Anal., 2015
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Prediction of Trabecular Bone Anisotropy from Quantitative Computed Tomography Using Supervised Learning and a Novel Morphometric Feature Descriptor.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Int. J. Imaging Syst. Technol., 2013
Comput. Medical Imaging Graph., 2013
Prediction of Cranio-Maxillofacial Surgical Planning Using an Inverse Soft Tissue Modelling Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Accuracy improvement in Cranio-Maxillofacial soft tissue simulation using a muscle embedded meshing approach.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
IEEE Trans. Biomed. Eng., 2012
Capturing the multiscale anatomical shape variability with polyaffine transformation trees.
Medical Image Anal., 2012
Statistical model based shape prediction from a combination of direct observations and various surrogates: Application to orthopaedic research.
Medical Image Anal., 2012
Int. J. Imaging Syst. Technol., 2012
Evaluation of a portable image overlay projector for the visualisation of surgical navigation data: phantom studies.
Int. J. Comput. Assist. Radiol. Surg., 2012
Simultaneous Multiscale Polyaffine Registration by Incorporating Deformation Statistics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Minimization of Intra-Operative Shaping of Orthopaedic Fixation Plates: A Population-Based Design.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Diffusion weighted imaging distortion correction using hybrid multimodal image registration.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Segmentation of brain tumor images based on atlas-registration combined with a Markov-Random-Field lesion growth model.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets.
Medical Image Anal., 2010
Anatomically-Driven Soft-Tissue Simulation Strategy for Cranio-Maxillofacial Surgery Using Facial Muscle Template Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
Parametric regression of 3D medical images through the exploration of non-parametric regression models.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Multi-modal diffeomorphic demons registration based on point-wise mutual information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Anatomical Variability of Organs Via Principal Factor Analysis from the Construction of an Abdominal Probabilistic Atlas.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Population-Specific Evaluation of Implant Bone Fitting Using PCA Shape Space and Level Sets.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Hierarchical Markov Random Fields Applied to Model Soft Tissue Deformations on Graphics Hardware.
Proceedings of the Recent Advances in the 3D Physiological Human, 2009
2008
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008
2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2005
Respiratory Motion Compensation in Emission Tomography. (Compensation du mouvement respiratoire en tomographie d'émission).
PhD thesis, 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005