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
1 - 10 of 53
- Engelstalig: precision medicine en care in patients neuromuscular dystrophyFrom1 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Compressed sensing for accelerated microstructure imagingFrom1 Oct 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Machine Learning tool to increase the efficiency of segmentation correction in transcatheter heart intervention planningFrom1 Sep 2022 → TodayFunding: Baekeland
- Evaluating novel radiological and clinical outcome measures in hereditary neuromuscular diseases.From1 Jun 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Development of AI tools to assist the treatment of colorectal cancerFrom1 Feb 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- AI in medical imaging: from proof-of-concept to daily radiology servicesFrom11 Jan 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Development of AI based imaging tools for the analysis of lung disease in preclinical rodent modelsFrom22 Nov 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Learning-based computational strategies for multimodal image analysis of neurovascular diseasesFrom18 Nov 2021 → TodayFunding: FWO fellowships
- Towards more accurate diagnostics in healthcare: AI applied to super-resolution ultrasound imagingFrom1 Nov 2021 → TodayFunding: Department Coordination
- Machine Learning Methods for Multiple Sclerosis Classification and Prediction using MRI Brain ConnectivityFrom25 Jan 2021 → 6 Oct 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
151 - 160 of 235
- Probabilistic Framework for Population Analysis of Brain MR Images (Probabilistische raamwerk voor populatie analyse van MR hersenbeelden)(2012)
Authors: Frederik Maes, Dirk Vandermeulen
- Three-dimensional myocardial strain estimation from volumetric ultrasound using a novel transformation model adapted to the heart(2012)
Authors: Brecht Heyde, Daniel Barbosa, Ruta Jasaityte, Frederik Maes, Piet Claus, Jan D'hooge
Pages: 1086 - 1089 - Three-dimensional cardiac motion estimation based on non-rigid image registration using a novel transformation model adapted to the heart(2012)
Authors: Brecht Heyde, Daniel Barbosa, Piet Claus, Frederik Maes, Jan D'hooge
Pages: 142 - 150 - Interactions between periosteal cells and blood vessels during bone autograft healing: implications for tissue engineering strategies(2012)
Authors: Nick van Gastel, Maarten Depypere, I Stockmans, Jan Schrooten, Frederik Maes, Frank Luyten, Geert Carmeliet
Pages: 310 - 310 - Incorporating a Lateral Scan Effect Correction in a EBT3 Calibration Protocol(2012)
Authors: Wouter Crijns, Pieter Slagmolen, Frederik Maes, Karin Haustermans, Frank Van den Heuvel
Pages: 4009 - 4009 - Fast 2-D Fiducial Marker Detection On Sequential MV Projections in Arc Therapy(2012)
Authors: H Van Herck, Wouter Crijns, Pieter Slagmolen, Frederik Maes, Frank Van den Heuvel, Karin Haustermans
Pages: 3684 - 3684 - Quantitative evaluation of MRI-based tracking of ferritin-labeled endogenous neural stem cell progeny in the rodent brain(2012)
Authors: Greetje Vande Velde, Janaki Raman Rangarajan, Tom Dresselaers, Zeger Debyser, Veerle Baekelandt, Frederik Maes, Uwe Himmelreich
Pages: 367 - 380 - Motion and deformation estimation of cardiac ultrasound sequences using an anatomical B-spline deformation model(2012)
Authors: Brecht Heyde, Piet Claus, Ruta Jasaityte, Daniel Barbosa, Patrick Wouters, Frederik Maes, Jan D'hooge
Pages: 266 - 269 - 3-D medische beeldvorming : nieuwe toepassingen voor beeldgebaseerde diagnose en therapie(2012)
Authors: Frederik Maes, Dirk Vandermeulen, Paul Suetens
Pages: 34 - 40 - Joint generative model for segmentation and local atlas stratification(2012)
Authors: Annemie Ribbens, Frederik Maes, Dirk Vandermeulen, Paul Suetens
Pages: 111 - 122
Patents
1 - 1 of 1