Jeroen Bertels
Orcid: 0000-0001-7206-2671
According to our database1,
Jeroen Bertels
authored at least 27 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
2023
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging.
Medical Image Anal., December, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
From Brain Tissue Infarction at 24 Hours to Patient Functional Outcome at 90 Days Using Deep Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2023
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2023
2022
Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences.
IEEE Trans. Biomed. Eng., 2022
Medical Biol. Eng. Comput., 2022
Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations.
CoRR, 2022
CoRR, 2022
The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty.
Medical Image Anal., 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index.
IEEE Trans. Medical Imaging, 2020
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.
CoRR, 2020
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients.
CoRR, 2020
Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice.
CoRR, 2019
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018