Researcher
Frederik Maes
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Responsible
From1 Aug 2020 → Today - Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → Today - Department of Electrical Engineering (ESAT) (Department)
Member
From1 Oct 2004 → 31 Dec 2007 - Radiology (Division)
Member
From1 Oct 2000 → 30 Sep 2004 - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Oct 1999 → 31 Jul 2020
Projects
21 - 30 of 53
- Automated data-driven on-line detection and characterization of endoscopic lesions using deep learningFrom15 Oct 2018 → 31 Oct 2023Funding: FWO Strategic Basic Research Grant
- Learning-based strategies for analysis of shape patterns in medical imagesFrom1 Oct 2018 → TodayFunding: BOF - Concerted Research Project from 1994
- Learning-based computational strategies for treatment adaptation in image-guided radiotherapy.From1 Jul 2018 → 25 Jan 2023Funding: FWO Strategic Basic Research Grant
- Replacement and upgrade of electronics and gradients for preclinical magnetic resonance imagingFrom1 May 2018 → 30 Apr 2022Funding: FWO Medium Size Research Infrastructure
- Next generation X-ray imaging systemFrom1 Jan 2018 → 31 Dec 2021Funding: H2020 - Leadership in enabling and industrial technologies (LEIT), H2020 - Innovation in SMEs
- Joint model-based registration and segmentation strategies for integrated quantitative analysis of cardiac MRI sequencesFrom27 Sep 2016 → 31 Dec 2021Funding: FWO fellowships
- The Treasury of Images: exploring the opportunities for diagnosing and treating prostate cancerFrom1 Aug 2016 → 23 Nov 2020Funding: Private funding of national origin - undefined
- High field Magnetic Resonance Imaging (MRI) scanner for pre-clinical research (7.0 Tesla, 30 cm bore)From1 Dec 2014 → 31 May 2019Funding: Hercules - Small and Medium size research infrastructure
- High precision small animal radiotherapy platform.From19 May 2014 → 31 Dec 2018Funding: Hercules - Small and Medium size research infrastructure
- Combining anatomical and spectral information to enhance MRSI resolution and quantificationFrom20 Jan 2014 → 17 May 2017Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 235
- Robust Deep Learning Methods for MR(S)I Characterisation of Brain Lesions(2024)
Authors: Mladen Rakic, Frederik Maes
- The implementation of Artificial Intelligence in colonoscopic diagnosis(2023)
Authors: Pieter Sinonquel, Raf Bisschops, Frederik Maes, Séverine Vermeire
- Brain Lesion Segmentation and Detection on Multi-parametric MRI Data: Marrying Deep Learning with Low-rank Factorization(2023)
Authors: Pooya Ashtari, Sabine Van Huffel, Frederik Maes
- Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation(2023)
Authors: Liesbeth Vandewinckele, Caroline Weltens, Frederik Maes, Wouter Crijns
- Deep learning for prediction of future endoscopic disease activity in ulcerative colitis(2023)
Authors: Matthew Blaschko, Tom Eelbode, Frederik Maes, Raf Bisschops
Pages: 1 - 7 - Towards trial readiness in hereditary neuromuscular diseases(2023)
Authors: Bram De Wel, Kristl Claeys, Frederik Maes, Patrick Dupont, Koen Poesen
- Histopathological correlations and fat replacement imaging patterns in recessive limb-girdle muscular dystrophy type 12(2023)
Authors: Bram De Wel, Lotte Huysmans, Christophe Depuydt, Ronald Peeters, Dietmar Thal, Patrick Dupont, Frederik Maes, Kristl Claeys
Pages: 1468 - 1481 - Automated MRI quantification of volumetric per-muscle fat fractions in the proximal leg of patients with muscular dystrophies(2023)
Authors: Lotte Huysmans, Bram De Wel, Kristl Claeys, Frederik Maes
- Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information(2023)
Authors: Marilyn Wegge, Frederik Maes, Sandra Nuyts
- Clinical benefits of multi-modality gross tumor volume auto-delineation in head and neck cancer(2023)
Authors: Siri Willems, Frederik Maes, Sandra Nuyts
Pages: S261 - S262
Patents
1 - 1 of 1