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Jeroen Bertels
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2020 – today
- 2024
- [i14]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) - 2023
- [j5]Sophie Ostmeier
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Anal. 90: 102927 (2023) - [c11]Zifu Wang, Teodora Popordanoska, Jeroen Bertels
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. MICCAI (3) 2023: 475-485 - [c10]Kobe Bamps
Augmented reality guidance platform for epicardial access: a phantom study. Image-Guided Procedures 2023 - [i13]Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko:
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. CoRR abs/2303.16296 (2023) - 2022
- [j4]Aviwe Kohlakala
Deep learning-based dental implant recognition using synthetic X-ray images. Medical Biol. Eng. Comput. 60(10): 2951-2968 (2022) - [j3]Masoomeh Rahimpour
Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences. IEEE Trans. Biomed. Eng. 69(7): 2153-2164 (2022) - [c9]Sofie Tilborghs, Jeroen Bertels
The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε. MICCAI (5) 2022: 527-537 - [i12]Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes:
The Dice loss in the context of missing or empty labels: Introducing Φ and ε. CoRR abs/2207.09521 (2022) - [i11]Sophie Ostmeier
Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations. CoRR abs/2209.13008 (2022) - [i10]Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens:
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. CoRR abs/2211.04161 (2022) - [i9]Jeroen Bertels, David Robben, Dirk Vandermeulen, Robin Lemmens:
Final infarct prediction in acute ischemic stroke. CoRR abs/2211.04850 (2022) - [i8]Jeroen Bertels, David Robben, Robin Lemmens, Dirk Vandermeulen:
Convolutional neural networks for medical image segmentation. CoRR abs/2211.09562 (2022) - [i7]Jeroen Bertels, David Robben, Robin Lemmens, Dirk Vandermeulen:
DeepVoxNet2: Yet another CNN framework. CoRR abs/2211.09569 (2022) - 2021
- [j2]Jeroen Bertels
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. Medical Image Anal. 67: 101833 (2021) - [c8]Axel-Jan Rousseau
Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation. ISBI 2021: 1052-1056 - [c7]Teodora Popordanoska, Jeroen Bertels
On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. MICCAI (1) 2021: 678-688 - [c6]Masoomeh Rahimpour, Jeroen Bertels
Improving T1w MRI-based brain tumor segmentation using cross-modal distillation. Image Processing 2021 - [i6]Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko:
On the relationship between calibrated predictors and unbiased volume estimation. CoRR abs/2112.12560 (2021) - 2020
- [j1]Tom Eelbode
Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. IEEE Trans. Medical Imaging 39(11): 3679-3690 (2020) - [c5]Stijn De Buck
Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation. Computer-Aided Diagnosis 2020 - [i5]Sofie Tilborghs, Ine Dirks
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. CoRR abs/2007.15546 (2020) - [i4]Tom Eelbode, Jeroen Bertels, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko:
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index. CoRR abs/2010.13499 (2020) - [i3]Abel Díaz Berenguer
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020)
2010 – 2019
- 2019
- [c4]Jeroen Bertels
Optimization with Soft Dice Can Lead to a Volumetric Bias. BrainLes@MICCAI (1) 2019: 89-97 - [c3]Jeroen Bertels
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. MICCAI (2) 2019: 92-100 - [c2]Kobe Bamps
DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN. STACOM@MICCAI 2019: 138-146 - [i2]Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko:
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. CoRR abs/1911.01685 (2019) - [i1]Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens:
Optimization with soft Dice can lead to a volumetric bias. CoRR abs/1911.02278 (2019) - 2018
- [c1]Jeroen Bertels
Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke. BrainLes@MICCAI (1) 2018: 263-270
Coauthor Index
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last updated on 2024-11-28 21:27 CET by the dblp team
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