Koen Van Leemput

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Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLE-mailová adresa ověřena na: mgh.harvard.edu
Bruce Fischl or B FischlMass General Hospital/Harvard Medical SchoolE-mailová adresa ověřena na: nmr.mgh.harvard.edu
Vandermeulen DirkProfessor of medical and forensic image analysis KU Leuven ESAT/PSIE-mailová adresa ověřena na: kuleuven.be
Paul Suetensprof. em. KU Leuven ESAT/PSIE-mailová adresa ověřena na: esat.kuleuven.be
Frederik MaesProfessor, KU Leuven, ESAT/PSIE-mailová adresa ověřena na: esat.kuleuven.be
Polina GollandMassachusetts Institute of TechnologyE-mailová adresa ověřena na: mit.edu
Mert R. SabuncuCornell University, Cornell Tech, Weill Cornell MedicineE-mailová adresa ověřena na: cornell.edu
Douglas N GreveMGHE-mailová adresa ověřena na: nmr.mgh.harvard.edu
Jens Morgenthaler Edmund, PhDMedical physicist, Herlev Hospital.E-mailová adresa ověřena na: regionh.dk
Bjoern MenzeUniversität ZürichE-mailová adresa ověřena na: uzh.ch
Lawrence WaldMGH Radiology, Harvard Medical SchoolE-mailová adresa ověřena na: nmr.mgh.harvard.edu
Daniel AndreasenTechnical University of DenmarkE-mailová adresa ověřena na: dtu.dk
Ann McKeeProfessor of Neurology and Pathology, Boston University School of MedicineE-mailová adresa ověřena na: bu.edu
B.T. Thomas YeoNational University of SingaporeE-mailová adresa ověřena na: nus.edu.sg
Nicholas AyacheResearch Director at INRIA/ CSO of 3IA Côte d'AzurE-mailová adresa ověřena na: inria.fr
Alan ColchesterProfessor of Clinical Neuroscience and Medical Image Computing, University of KentE-mailová adresa ověřena na: kent.ac.uk
Guido GerigNYU Tandon School of Engineering, CSE DepartmentE-mailová adresa ověřena na: nyu.edu
Tammy Riklin RavivBen-Gurion University, Electrical and Computer EngineeringE-mailová adresa ověřena na: ee.bgu.ac.il
Ender KonukogluETH ZurichE-mailová adresa ověřena na: vision.ee.ethz.ch
Prof. Dr. Martin ReuterDirector AI in Medical Imaging DZNE Bonn Germany, Radiology & Neurology at Harvard Medical SchoolE-mailová adresa ověřena na: mgh.harvard.edu

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Koen Van Leemput

Aalto University & Harvard Medical School

E-mailová adresa ověřena na: nmr.mgh.harvard.edu - Domovská stránka

Medical Image Computing


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014	6503	2014
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018	2287	2018
Automated model-based tissue classification of MR images of the brain K Van Leemput, F Maes, D Vandermeulen, P Suetens IEEE transactions on medical imaging 18 (10), 897-908, 1999	1356	1999
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI JE Iglesias, JC Augustinack, K Nguyen, CM Player, A Player, M Wright, ... Neuroimage 115, 117-137, 2015	1249	2015
Automated model-based bias field correction of MR images of the brain K Van Leemput, F Maes, D Vandermeulen, P Suetens IEEE transactions on medical imaging 18 (10), 885-896, 2002	803	2002
Automated segmentation of multiple sclerosis lesions by model outlier detection K Van Leemput, F Maes, D Vandermeulen, A Colchester, P Suetens IEEE transactions on medical imaging 20 (8), 677-688, 2001	652	2001
A generative model for image segmentation based on label fusion MR Sabuncu, BTT Yeo, K Van Leemput, B Fischl, P Golland IEEE transactions on medical imaging 29 (10), 1714-1729, 2010	600	2010
Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI K Van Leemput, A Bakkour, T Benner, G Wiggins, LL Wald, J Augustinack, ... Hippocampus 19 (6), 549-557, 2009	500	2009
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology JE Iglesias, R Insausti, G Lerma-Usabiaga, M Bocchetta, K Van Leemput, ... Neuroimage 183, 314-326, 2018	477	2018
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas ZM Saygin, D Kliemann, JE Iglesias, AJW van der Kouwe, E Boyd, ... Neuroimage 155, 370-382, 2017	414	2017
A unifying framework for partial volume segmentation of brain MR images K Van Leemput, F Maes, D Vandermeulen, P Suetens IEEE transactions on medical imaging 22 (1), 105-119, 2003	373	2003
Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: towards a harmonized segmentation protocol PA Yushkevich, RSC Amaral, JC Augustinack, AR Bender, JD Bernstein, ... Neuroimage 111, 526-541, 2015	327	2015
Automatic brain tumor segmentation by subject specific modification of atlas priors1 M Prastawa, E Bullitt, N Moon, K Van Leemput, G Gerig Academic radiology 10 (12), 1341-1348, 2003	316	2003
A generative model for brain tumor segmentation in multi-modal images BH Menze, K Van Leemput, D Lashkari, MA Weber, N Ayache, P Golland International Conference on Medical Image Computing and Computer-Assisted …, 2010	309	2010
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining B Billot, DN Greve, O Puonti, A Thielscher, K Van Leemput, B Fischl, ... Medical image analysis 86, 102789, 2023	294	2023
Bayesian segmentation of brainstem structures in MRI JE Iglesias, K Van Leemput, P Bhatt, C Casillas, S Dutt, N Schuff, ... Neuroimage 113, 184-195, 2015	270	2015
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling O Puonti, JE Iglesias, K Van Leemput NeuroImage 143, 235-249, 2016	204	2016
Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases JE Iglesias, K Van Leemput, J Augustinack, R Insausti, B Fischl, M Reuter, ... Neuroimage 141, 542-555, 2016	184	2016
Patch‐based generation of a pseudo CT from conventional MRI sequences for MRI‐only radiotherapy of the brain D Andreasen, K Van Leemput, RH Hansen, JAL Andersen, JM Edmund Medical physics 42 (4), 1596-1605, 2015	173	2015
Is synthesizing MRI contrast useful for inter-modality analysis? JE Iglesias, E Konukoglu, D Zikic, B Glocker, K Van Leemput, B Fischl Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	172	2013

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