Jeroen Bertels

32 papers B 1Journal 19Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR 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
2023	—	`conf`	Augmented reality guidance platform for epicardial access: a phantom study. Image-Guided Procedures Kobe Bamps, Jeroen Bertels, Lennert Minten, Alexis Puvrez, Walter Coudyzer, Stijn De Buck, Joris Ector
2023	—	`conf`	Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. MICCAI (3) Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko
2023	J	`jnl`	Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. CoRR Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko
2023	—	`conf`	From Brain Tissue Infarction at 24 Hours to Patient Functional Outcome at 90 Days Using Deep Learning. BrainLes/SWITCH@MICCAI Marie Ulens, Jeroen Bertels, Ewout Heylen, Julie Lambert, Jelle Demeestere, Robin Lemmens, Dirk Vandermeulen, Frederik Maes
2023	—	`conf`	Functional Outcome Prediction in Acute Ischemic Stroke. BrainLes/SWITCH@MICCAI Ewout Heylen, Jeroen Bertels, Julie Lambert, Jelle Demeestere, Fredrik Ståhl, Åke Holmberg, Wim H. van Zwam, Charles B. L. M. Majoie, Aad van der Lugt, Robin Lemmens, Frederik Maes
2023	J	`jnl`	USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Anal. Sophie Ostmeier, Brian Axelrod, Fabian Isensee, Jeroen Bertels, Michael Mlynash, Soren Christensen, Maarten G. Lansberg, Gregory W. Albers, Rajen Sheth, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit
2022	J	`jnl`	Convolutional neural networks for medical image segmentation. CoRR Jeroen Bertels, David Robben, Robin Lemmens, Dirk Vandermeulen
2022	J	`jnl`	Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences. IEEE Trans. Biomed. Eng. Masoomeh Rahimpour, Jeroen Bertels, Ahmed Radwan, Henri Vandermeulen, Stefan Sunaert, Dirk Vandermeulen, Frederik Maes, Karolien Goffin, Michel Koole
2022	J	`jnl`	Deep learning-based dental implant recognition using synthetic X-ray images. Medical Biol. Eng. Comput. Aviwe Kohlakala, Johannes Coetzer, Jeroen Bertels, Dirk Vandermeulen
2022	J	`jnl`	DeepVoxNet2: Yet another CNN framework. CoRR Jeroen Bertels, David Robben, Robin Lemmens, Dirk Vandermeulen
2022	J	`jnl`	Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations. CoRR Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit
2022	J	`jnl`	Final infarct prediction in acute ischemic stroke. CoRR Jeroen Bertels, David Robben, Dirk Vandermeulen, Robin Lemmens
2022	—	`conf`	The Dice Loss in the Context of Missing or Empty Labels: Introducing $\varPhi $ and ε. MICCAI (5) Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes
2022	J	`jnl`	The Dice loss in the context of missing or empty labels: Introducing Φ and ε. CoRR Sofie Tilborghs, Jeroen Bertels, David Robben, Dirk Vandermeulen, Frederik Maes
2022	J	`jnl`	Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. CoRR Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
2021	B	`conf`	Improving T1w MRI-based brain tumor segmentation using cross-modal distillation. Image Processing Masoomeh Rahimpour, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Karolien Goffin, Michel Koole
2021	—	`conf`	On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. MICCAI (1) Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko
2021	J	`jnl`	On the relationship between calibrated predictors and unbiased volume estimation. CoRR Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko
2021	—	`conf`	Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation. ISBI Axel-Jan Rousseau, Thijs Becker, Jeroen Bertels, Matthew B. Blaschko, Dirk Valkenborg
2021	J	`jnl`	Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. Medical Image Anal. Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
2020	—	`conf`	Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation. Computer-Aided Diagnosis Stijn De Buck, Jeroen Bertels, Chelsey Vanbilsen, Tanguy Dewaele, Chantal Van Ongeval, Hilde Bosmans, Jan Vandevenne, Paul Suetens
2020	J	`jnl`	Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. CoRR Sofie Tilborghs, Ine Dirks, Lucas Fidon, Siri Willems, Tom Eelbode, Jeroen Bertels, Bart Ilsen, Arne Brys, Adriana Dubbeldam, Nico Buls, Panagiotis Gonidakis, Sebastián Amador Sánchez, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens
2020	J	`jnl`	Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke
2020	J	`jnl`	Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. IEEE Trans. Medical Imaging Tom Eelbode, Jeroen Bertels, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko
2020	J	`jnl`	Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index. CoRR Tom Eelbode, Jeroen Bertels, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko
2019	—	`conf`	DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN. STACOM@MICCAI Kobe Bamps, Stijn De Buck, Jeroen Bertels, Rik Willems, Christophe Garweg, Peter Haemers, Joris Ector
2019	—	`conf`	Optimization with Soft Dice Can Lead to a Volumetric Bias. BrainLes@MICCAI (1) Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
2019	J	`jnl`	Optimization with soft Dice can lead to a volumetric bias. CoRR Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens
2019	J	`jnl`	Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. CoRR Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko
2019	—	`conf`	Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. MICCAI (2) Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko
2018	—	`conf`	Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke. BrainLes@MICCAI (1) Jeroen Bertels, David Robben, Dirk Vandermeulen, Paul Suetens