Publications by authors named "Frederik Maes"

Claim this Profile

Mentions over time

Mentions by platform

Video Views

57

Total Likes

9

Extended Reach

24,540

Social Features

6
R
Real-time automated assessment of histological disease activity in patients with ulcerative colitis using single-wavelength endoscopy technology.
Pieter Sinonquel, Matthias Lenfant, Tom Eelbode, Belian Callaerts, Hiroki Watanabe, João Sabino, Bram Verstockt, Frederik Maes, Gert De Hertogh, Séverine Vermeire

Endoscopy· July 2025

Videos about Article: user

1 5

View All Article and Social Media Activity
A
Automated Classification of Neuromuscular Diseases Using Thigh Muscle MRI With Model Interpretations.
Lotte Huysmans, Louise Iterbeke, Bram De Wel, Matthias Opsomer, Kristl G Claeys, Frederik Maes

J Cachexia Sarcopenia Muscle· October 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Automated quantification of lung pathology on micro-CT in diverse disease models using deep learning.
Flore Belmans, Laura Seldeslachts, Eliane Vanhoffelen, Birger Tielemans, Wim Vos, Frederik Maes

EBioMedicine· September 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
L
Local response function estimation in spherical deconvolution for comprehensive tissue representation using diffusion MRI.
Siebe Leysen, Ahmed Radwan, Frederik Maes, Stefan Sunaert, Daan Christiaens

Imaging Neurosci (Camb)· August 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
D
Development of an Automated Tool for the Estimation of Histological Remission in Ulcerative Colitis Using Single-Wavelength Endoscopy Technology.
Pieter Sinonquel, Matthias Lenfant, Tom Eelbode, Hiroki Watanabe, Belian Callaerts, Frederik Maes

J Crohns Colitis· May 2025

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Automated biventricular quantification in patients with repaired tetralogy of Fallot using a three-dimensional deep learning segmentation model.
Sofie Tilborghs, Tiffany Liang, Stavroula Raptis, Ayako Ishikita, Werner Budts, Frederik Maes

J Cardiovasc Magn Reson· December 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Clinical consequences of computer-aided colorectal polyp detection.
Pieter Sinonquel, Tom Eelbode, Oliver Pech, Dominiek De Wulf, Pieter Dewint, Frederik Maes

Gut· November 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
T
Test-retest reliability and follow-up of muscle magnetic resonance elastography in adults with and without muscle diseases.
Bram De Wel, Lotte Huysmans, Ronald Peeters, Stefan Ghysels, Kris Byloos, Frederik Maes

J Cachexia Sarcopenia Muscle· October 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
S
Segmentation-based quantitative measurements in renal CT imaging using deep learning.
Konstantinos Koukoutegos, Richard 's Heeren, Liesbeth De Wever, Frederik De Keyzer, Frederik Maes

Eur Radiol Exp· October 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
D
Deep learning pipeline for quality filtering of MRSI spectra.
Mladen Rakić, Federico Turco, Guodong Weng, Frederik Maes, Diana M Sima

NMR Biomed· July 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
L
Lessons for future clinical trials in adults with Becker muscular dystrophy: Disease progression detected by muscle magnetic resonance imaging, clinical and patient-reported outcome measures.
Bram De Wel, Louise Iterbeke, Lotte Huysmans, Ronald Peeters, Veerle Goosens, Frederik Maes

Eur J Neurol· July 2024

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
H
Histopathological correlations and fat replacement imaging patterns in recessive limb-girdle muscular dystrophy type 12.
Bram De Wel, Lotte Huysmans, Christophe E Depuydt, Veerle Goosens, Ronald Peeters, Frederik Maes

J Cachexia Sarcopenia Muscle· June 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Advanced Imaging in Gastrointestinal Endoscopy: A Literature Review of the Current State of the Art.
Pieter Sinonquel, Séverine Vermeire, Frederik Maes, Raf Bisschops

GE Port J Gastroenterol· June 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
B
Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information.
Heleen Bollen, Siri Willems, Marilyn Wegge, Frederik Maes, Sandra Nuyts

Radiother Oncol· May 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Automated MRI quantification of volumetric per-muscle fat fractions in the proximal leg of patients with muscular dystrophies.
Lotte Huysmans, Bram De Wel, Kristl G Claeys, Frederik Maes

Front Neurol· May 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
F
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Pooya Ashtari, Diana M Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes

Med Image Anal· February 2023

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
S
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI.
Sofie Tilborghs, Jan Bogaert, Frederik Maes

Med Image Anal· October 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome.
Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes

Front Robot AI· October 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
P
Prospective Natural History Study in 24 Adult Patients With LGMDR12 Over 2 Years of Follow-up: Quantitative MRI and Clinical Outcome Measures.
Bram De Wel, Lotte Huysmans, Ronald Peeters, Veerle Goosens, Stefan Ghysels, Frederik Maes

Neurology· August 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences.
Masoomeh Rahimpour, Jeroen Bertels, Ahmed Radwan, Henri Vandermeulen, Stefan Sunaert, Frederik Maes

IEEE Trans Biomed Eng· July 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
T
Treatment plan prediction for lung IMRT using deep learning based fluence map generation.
Liesbeth Vandewinckele, Siri Willems, Maarten Lambrecht, Patrick Berkovic, Frederik Maes

Phys Med· July 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
C
Corrigendum: Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty.
Adriaan Lambrechts, Roel Wirix-Speetjens, Frederik Maes, Sabine Van Huffel

Front Robot AI· April 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
A
Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty.
Adriaan Lambrechts, Roel Wirix-Speetjens, Frederik Maes, Sabine Van Huffel

Front Robot AI· March 2022

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
I
icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions.
Mladen Rakić, Sophie Vercruyssen, Simon Van Eyndhoven, Ezequiel de la Rosa, Saurabh Jain, Frederik Maes

Neuroimage Clin· September 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis
P
Pitfalls in training and validation of deep learning systems.
Tom Eelbode, Pieter Sinonquel, Frederik Maes, Raf Bisschops

Best Pract Res Clin Gastroenterol· July 2021

Social Media Activity not collected for this article yet.

Sign Up to Request Social Media Analysis