Contra-Lateral Information CNN for Core Lesion Segmentation Based on Native CTP in Acute Stroke. - Jeroen Bertels; David Robben; Dirk Vandermeulen; Paul Suetens (BrainLes@MICCAI (1), 2018)

Optimization with Soft Dice Can Lead to a Volumetric Bias. - Jeroen Bertels; David Robben; Dirk Vandermeulen; Paul Suetens (BrainLes@MICCAI (1), 2019)

DeepLA: Automated Segmentation of Left Atrium from Interventional 3D Rotational Angiography Using CNN. - Kobe Bamps; Stijn De Buck; Jeroen Bertels; Rik Willems; Christophe Garweg; Peter Haemers; Joris Ector (STACOM@MICCAI, 2019)

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. - Jeroen Bertels; Tom Eelbode; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (MICCAI (2), 2019)

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice. - Jeroen Bertels; Tom Eelbode; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (CoRR, 2019)

Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation. - Stijn De Buck; Jeroen Bertels; Chelsey Vanbilsen; Tanguy Dewaele; Chantal Van Ongeval; Hilde Bosmans; Jan Vandevenne; Paul Suetens (Computer-Aided Diagnosis, 2020)

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. - 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; et al. (CoRR, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - 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; et al. (CoRR, 2020)

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. - Tom Eelbode; Jeroen Bertels; Maxim Berman; Dirk Vandermeulen; Frederik Maes; Raf Bisschops; Matthew B. Blaschko (IEEE Trans. Medical Imaging, 2020)

Post Training Uncertainty Calibration Of Deep Networks For Medical Image Segmentation. - Axel-Jan Rousseau; Thijs Becker; Jeroen Bertels; Matthew B. Blaschko; Dirk Valkenborg (ISBI, 2021)

On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. - Teodora Popordanoska; Jeroen Bertels; Dirk Vandermeulen; Frederik Maes; Matthew B. Blaschko (MICCAI (1), 2021)

Improving T1w MRI-based brain tumor segmentation using cross-modal distillation. - Masoomeh Rahimpour; Jeroen Bertels; Dirk Vandermeulen; Frederik Maes; Karolien Goffin; Michel Koole (Image Processing, 2021)

Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. - Jeroen Bertels; David Robben; Dirk Vandermeulen; Paul Suetens (Medical Image Anal., 2021)

The Dice Loss in the Context of Missing or Empty Labels: Introducing $ varPhi $ and ε. - Sofie Tilborghs; Jeroen Bertels; David Robben; Dirk Vandermeulen; Frederik Maes (MICCAI (5), 2022)

The Dice loss in the context of missing or empty labels: Introducing Φ and ε. - Sofie Tilborghs; Jeroen Bertels; David Robben; Dirk Vandermeulen; Frederik Maes (CoRR, 2022)

Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations. - Sophie Ostmeier; Brian Axelrod; Jeroen Bertels; Fabian Isensee; Maarten G. Lansberg; Soren Christensen; Gregory W. Albers; Li-Jia Li 001; Jeremy J. Heit (CoRR, 2022)

Final infarct prediction in acute ischemic stroke. - Jeroen Bertels; David Robben; Dirk Vandermeulen; Robin Lemmens (CoRR, 2022)

Convolutional neural networks for medical image segmentation. - Jeroen Bertels; David Robben; Robin Lemmens; Dirk Vandermeulen (CoRR, 2022)

DeepVoxNet2: Yet another CNN framework. - Jeroen Bertels; David Robben; Robin Lemmens; Dirk Vandermeulen (CoRR, 2022)

Deep learning-based dental implant recognition using synthetic X-ray images. - Aviwe Kohlakala; Johannes Coetzer; Jeroen Bertels; Dirk Vandermeulen (Medical Biol. Eng. Comput., 2022)

Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences. - Masoomeh Rahimpour; Jeroen Bertels; Ahmed Radwan; Henri Vandermeulen; Stefan Sunaert; Dirk Vandermeulen; Frederik Maes; Karolien Goffin; Michel Koole (IEEE Trans. Biomed. Eng., 2022)

Functional Outcome Prediction in Acute Ischemic Stroke. - 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 (BrainLes/SWITCH@MICCAI, 2023)

From Brain Tissue Infarction at 24 Hours to Patient Functional Outcome at 90 Days Using Deep Learning. - Marie Ulens; Jeroen Bertels; Ewout Heylen; Julie Lambert; Jelle Demeestere; Robin Lemmens; Dirk Vandermeulen; Frederik Maes (BrainLes/SWITCH@MICCAI, 2023)

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. - Zifu Wang; Teodora Popordanoska; Jeroen Bertels; Robin Lemmens; Matthew B. Blaschko (MICCAI (3), 2023)

Augmented reality guidance platform for epicardial access: a phantom study. - Kobe Bamps; Jeroen Bertels; Lennert Minten; Alexis Puvrez; Walter Coudyzer; Stijn De Buck; Joris Ector (Image-Guided Procedures, 2023)

USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. - 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 001; et al. (Medical Image Anal., 2023)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)