Frederik Maes - Publications, H-index & Citations

Frederik Maes

university hospitals leuven

61H指数

700论文数

2.2W被引数

收录论文 103

发表时间

Automated Classification of Neuromuscular Diseases Using Thigh Muscle MRI With Model Interpretations 基于大腿肌肉MRI的神经肌肉疾病自动化分类及模型解释

Journal of Cachexia, Sarcopenia and Muscle

IF0

2025-10-11

OAAI

Lotte Huysmans; Louise Iterbeke; Bram De Wel; Matthias Opsomer; Kristl G. Claeys; Frederik Maes

Automated quantification of lung pathology on micro-CT in diverse disease models using deep learning 基于深度学习的多疾病模型中微CT肺病理的自动量化

eBioMedicine

IF10.8

2025-08-30

PREAI

Flore Belmans; Laura Seldeslachts; Eliane Vanhoffelen; Birger Tielemans; Wim Vos; Frederik Maes; Greetje Vande Velde

Real-time automated assessment of histological disease activity in patients with ulcerative colitis using single-wavelength endoscopy technology

ENDOSCOPY

IF12.8

2025-03-01

PREAI

Sinonquel, Pieter; Lenfant, Matthias; Eelbode, Tom; Callaerts, Belian; Watanabe, Hiroki; Sabino, Joao; Verstockt, Bram; Maes, Frederik; De Hertog, Gert; Vermeire, Severine; Bisschops, Raf

Development of an Automated Tool for the Estimation of Histological Remission in Ulcerative Colitis Using Single-Wavelength Endoscopy Technology

JOURNAL OF CROHNS & COLITIS

IF8.7

2024-11-27

PREAI

Sinonquel, Pieter; Lenfant, Matthias; Eelbode, Tom; Watanabe, Hiroki; Callaerts, Belian; Bossuyt, Peter; Verstockt, Bram; Sabino, Joao Pedro Guedelha; De Hertogh, Gert; Maes, Frederik; Vermeire, Severine; Bisschops, Raf

Segmentation-based quantitative measurements in renal CT imaging using deep learning 使用深度学习在肾脏CT成像中基于分割的定量测量

EUROPEAN RADIOLOGY EXPERIMENTAL

IF3.6

2024-10-09

OAAI

Koukoutegos, Konstantinos; Heeren, Richard's; De Wever, Liesbeth; De Keyzer, Frederik; Maes, Frederik; Bosmans, Hilde

Test-retest reliability and follow-up of muscle magnetic resonance elastography in adults with and without muscle diseases

JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE

IF9.1

2024-06-24

OAAI

De Wel, Bram; Huysmans, Lotte; Peeters, Ronald; Ghysels, Stefan; Byloos, Kris; Putzeys, Guido; Maes, Frederik; Dupont, Patrick; Claeys, Kristl G.

Automated biventricular quantification in patients with repaired tetralogy of Fallot using a three-dimensional deep learning segmentation model

JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE

IF6.1

2024-01-01

OAAI

Tilborghs, Sofie; Liang, Tiffany; Raptis, Stavroula; Ishikita, Ayako; Budts, Werner; Dresselaers, Tom; Bogaert, Jan; Maes, Frederik; Wald, Rachel M.; van de Bruaene, Alexander

Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation

PHYSICS IN MEDICINE AND BIOLOGY

IF3.4

2023-11-16

OAAI

Vandewinckele, L.; Reynders, T.; Weltens, C.; Maes, F.; Crijns, W.

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

RADIOTHERAPY AND ONCOLOGY

IF5.3

2023-05-01

OAAI

Bollen, Heleen; Willems, Siri; Wegge, Marilyn; Maes, Frederik; Nuyts, Sandra

Histopathological correlations and fat replacement imaging patterns in recessive limb-girdle muscular dystrophy type 12

JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE

IF9.1

2023-04-20

OAAI

De Wel, Bram; Huysmans, Lotte; Depuydt, Christophe E.; Goosens, Veerle; Peeters, Ronald; Santos, Filipa P.; Thal, Dietmar R.; Dupont, Patrick; Maes, Frederik; Claeys, Kristl G.

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

MEDICAL IMAGE ANALYSIS

IF11.8

2023-02-01

OAAI

Ashtari, Pooya; Sima, Diana M.; De Lathauwer, Lieven; Sappey-Marinier, Dominique; Maes, Frederik; Van Huffel, Sabine

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

MEDICAL IMAGE ANALYSIS

IF11.8

2022-10-01

OAAI

Tilborghs, Sofie; Bogaert, Jan; Maes, Frederik

Prospective Natural History Study in 24 Adult Patients With LGMDR12 Over 2 Years of Follow-up Quantitative MRI and Clinical Outcome Measures

NEUROLOGY

IF8.5

2022-08-09

PREAI

De Wel, Bram; Huysmans, Lotte; Peeters, Ronald; Goosens, Veerle; Ghysels, Sfefan; Byloos, Kris; Putzeys, Guido; D'Hondt, Ann; De Bleecker, Jan L.; Dupont, Patrick; Maes, Frederik; Claeys, Kristl G.

Treatment plan prediction for lung IMRT using deep learning based fluence map generation

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS

IF2.7

2022-07-01

OAAI

Vandewinckele, Liesbeth; Willems, Siri; Lambrecht, Maarten; Berkovic, Patrick; Maes, Frederik; Crijns, Wouter

Clinical evaluation of a deep learning model for segmentation of target volumes in breast cancer radiotherapy

RADIOTHERAPY AND ONCOLOGY

IF5.3

2022-06-01

OAAI

Buelens, P.; Willems, S.; Vandewinckele, L.; Crijns, W.; Maes, F.; Weltens, C. G.

Interobserver variability in organ at risk delineation in head and neck cancer 头颈癌中处于危险中的器官描绘的观察者间变异性

RADIATION ONCOLOGY

IF3.2

2021-06-28

OAAI

van der Veen, J.; Gulyban, A.; Willems, S.; Maes, F.; Nuyts, S.

Pitfalls in training and validation of deep learning systems 深度学习系统训练和验证中的陷阱

BEST PRACTICE & RESEARCH CLINICAL GASTROENTEROLOGY

IF4

2021-06-01

PREAI

Eelbode, Tom; Sinonquel, Pieter; Maes, Frederik; Bisschops, Raf

68Ga-PSMA-11 PET, 18F-PSMA-1007 PET, and MRI for Gross Tumor Volume Delineation in Primary Prostate Cancer: Intermodality and Intertracer Variability

PRACTICAL RADIATION ONCOLOGY

IF3.5

2021-05-01

OAAI

Draulans, Cedric; Pos, Floris; Smeenk, Robert J.; Kerkmeijer, Linda; Vogel, Wouter V.; Nagarajah, James; Janssen, Marcel; Mai, Cindy; Heijmink, Stijn; van der Leest, Marloes; Zamecnik, Patrik; Oyen, Raymond; Isebaert, Sofie; Maes, Frederik; Joniau, Steven; Kunze-Busch, Martina; De Roover, Robin; Defraene, Gilles; van der Heide, Uulke A.; Goffin, Karolien; Haustermans, Karin

Resorption of retromolar bone grafts after alveolar ridge augmentation-volumetric changes after 12 months assessed by CBCT analysis

INTERNATIONAL JOURNAL OF IMPLANT DENTISTRY

IF4

2021-01-21

OAAI

Stricker, Andres; Jacobs, Reinhilde; Maes, Frederik; Fluegge, Tabea; Vach, Kirstin; Fleiner, Jonathan

icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions

NEUROIMAGE-CLINICAL

IF3.6

2021-01-01

OAAI

Rakic, Mladen; Vercruyssen, Sophie; Van Eyndhoven, Simon; de la Rosa, Ezequiel; Jain, Saurabh; Van Huffel, Sabine; Maes, Frederik; Smeets, Dirk; Sima, Diana M.

研究方向