Andrey Fedorov

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fiona fennessyBrigham and Women's Hospital. Dana-Farber Cancer InstituteVerified email at bwh.harvard.edu
Ron KikinisB. Leonard Holman Professor of Radiology, Harvard Medical SchoolVerified email at bwh.harvard.edu
Clare TempanyBrigham & Women's Hsp/Harvard Medical schoolVerified email at bwh.harvard.edu
Steve PieperIsomics, Inc.Verified email at isomics.com
Nikos ChrisochoidesRichard T. Cheng Distinguished Professor, Computer Science, Old Dominion UniversityVerified email at cs.wm.edu
Tina KapurBrigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
Jean-Christophe Fillion-RobinKitware Inc.Verified email at kitware.com
James MillerSenior Principal Scientist, Artificial Intelligence, GE Global ResearchVerified email at ge.com
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUVerified email at dfci.harvard.edu
Jayashree Kalpathy-CramerMGH/Harvard Medical SchoolVerified email at mgh.harvard.edu
William M. Wells III (Sandy)Harvard Medical School, M.I.T.Verified email at bwh.harvard.edu
John BuattiUniversity of IowaVerified email at uiowa.edu
Tobias PenzkoferRadiology, Charité Universitätsmedizin, Berlin, GermanyVerified email at charite.de
Alexandra GolbyProfessor of NeurosurgeryVerified email at bwh.harvard.edu
Junichi TokudaBrigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
Simon Keith WarfieldN. Thorne Griscom Chair and Professor of Radiology, Harvard Medical School, Boston Children'sVerified email at crl.med.harvard.edu
Nobuhiko HataProfessor, Brigham and Women's Hospital and Harvard Medical SchoolVerified email at bwh.harvard.edu
Alireza MehrtashHarvard Medical SchoolVerified email at bwh.harvard.edu
Purang AbolmaesumiDepartment of Electrical and Computer Engineering, University of British Columbia, V6T 1Z4Verified email at ece.ubc.ca
Andriy KotSenior Research Programmer, National Center for Supercomputing Applications, University of IllinoisVerified email at illinois.edu

Andrey Fedorov

Radiology, Brigham and Women's Hospital, Harvard Medical School

Verified email at bwh.harvard.edu - Homepage

Medical image computing Image guided therapy Quantitative imaging Imaging informatics Open science


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3D Slicer as an image computing platform for the Quantitative Imaging Network A Fedorov, R Beichel, J Kalpathy-Cramer, J Finet, JC Fillion-Robin, ... Magnetic resonance imaging 30 (9), 1323-1341, 2012	3265	2012
Computational Radiomics System to Decode the Radiographic Phenotype JJM van Griethuysen, A Fedorov, C Parmar, A Hosny, N Aucoin, ... Cancer Research 77 (21), e104-e107, 2017	1253	2017
The Image Biomarker Standardization Initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020	388	2020
Multiparametric MRI of prostate cancer: An update on state‐of‐the‐art techniques and their performance in detecting and localizing prostate cancer JV Hegde, RV Mulkern, LP Panych, FM Fennessy, A Fedorov, SE Maier, ... Journal of Magnetic Resonance Imaging 37 (5), 1035-1054, 2013	240	2013
Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery N Archip, O Clatz, S Whalen, D Kacher, A Fedorov, A Kot, ... Neuroimage 35 (2), 609-624, 2007	213	2007
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017	190	2017
GBM Volumetry using the 3D Slicer Medical Image Computing Platform J Egger, T Kapur, A Fedorov, S Pieper, JV Miller, H Veeraraghavan, ... Scientific Reports 3, 2013	188	2013
Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge W Huang, X Li, Y Chen, X Li, MC Chang, MJ Oborski, DI Malyarenko, ... Translational oncology 7 (1), 153-166, 2014	106	2014
Repeatability of Multiparametric Prostate MRI Radiomics Features M Schwier, J van Griethuysen, MG Vangel, S Pieper, S Peled, C Tempany, ... Scientific Reports 9 (1), 9441, 2019	83	2019
Transperineal in-bore 3-T MR imaging–guided prostate biopsy: a prospective clinical observational study T Penzkofer, K Tuncali, A Fedorov, SE Song, J Tokuda, FM Fennessy, ... Radiology 274 (1), 170-180, 2015	79	2015
Practical considerations in T1 mapping of prostate for dynamic contrast enhancement pharmacokinetic analyses FM Fennessy, A Fedorov, SN Gupta, EJ Schmidt, CM Tempany, ... Magnetic resonance imaging 30 (9), 1224-1233, 2012	69	2012
Image registration for targeted MRI‐guided transperineal prostate biopsy A Fedorov, K Tuncali, FM Fennessy, J Tokuda, N Hata, WM Wells, ... Journal of Magnetic Resonance Imaging 36 (4), 987-992, 2012	65	2012
Toward real-time image guided neurosurgery using distributed and grid computing N Chrisochoides, A Fedorov, A Kot, N Archip, P Black, O Clatz, A Golby, ... SC 2006 Conference, Proceedings of the ACM/IEEE, 37-37, 2006	59	2006
The impact of arterial input function determination variations on prostate dynamic contrast-enhanced magnetic resonance imaging pharmacokinetic modeling: a multicenter data … W Huang, Y Chen, A Fedorov, X Li, GH Jajamovich, DI Malyarenko, ... Tomography 2 (1), 56-66, 2016	57	2016
Errors in quantitative image analysis due to platform-dependent image scaling TL Chenevert, DI Malyarenko, D Newitt, X Li, M Jayatilake, A Tudorica, ... Translational oncology 7 (1), 65-71, 2014	56	2014
DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research A Fedorov, D Clunie, E Ulrich, C Bauer, A Wahle, B Brown, M Onken, ... PeerJ 4, e2057, 2016	55	2016
In-bore setup and software for 3T MRI-guided transperineal prostate biopsy J Tokuda, K Tuncali, I Iordachita, SE Song, A Fedorov, S Oguro, A Lasso, ... Physics in Medicine & Biology 57 (18), 5823, 2012	55	2012
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks A Mehrtash, A Sedghi, M Ghafoorian, M Taghipour, CM Tempany, ... SPIE Medical Imaging, 101342A-101342A-4, 2017	54	2017
3T MR‐guided in‐bore transperineal prostate biopsy: A comparison of robotic and manual needle‐guidance templates G Tilak, K Tuncali, SE Song, J Tokuda, O Olubiyi, F Fennessy, A Fedorov, ... Journal of Magnetic Resonance Imaging 42 (1), 63-71, 2015	54	2015
Evaluation of brain MRI alignment with the robust Hausdorff distance measures A Fedorov, E Billet, M Prastawa, G Gerig, A Radmanesh, S Warfield, ... Advances in Visual Computing, 594-603, 2008	45	2008

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