Frederik Maes

Professor

KU Leuven

Belgium

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About

Frederik Maes is a Professor at KU Leuven, Belgium. His research areas include medical image segmentation, deep learning applications in oncology, and advanced imaging techniques in gastrointestinal endoscopy. His recent publications focus on improving tumor volume segmentation and the training of deep learning systems for medical imaging.

Articles (9)

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2023

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2023

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2023

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (1)

Michel Koole

Associate Professor

KU Leuven

BELGIUM

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Frederik Maes

Research Interests

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Articles (9)

Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation

Advanced Imaging in Gastrointestinal Endoscopy: A Literature Review of the Current State of the Art

Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI

Pitfalls in training and validation of deep learning systems

Deep learning for elective neck delineation: More consistent and time efficient

Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index

Segmentation of head-and-neck organs-at-risk in longitudinal CT scans combining deformable registrations and convolutional neural networks

Collaborators (1)

Michel Koole

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