Dmitry Goldgof

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Lawrence HallProfessor of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Robert GilliesChair of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
Sudeep SarkarProfessor of Computer Science and Engineering, University of South Florida, TampaVerified email at usf.edu
Rangachar KasturiDouglas W. Hood Professor of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DameVerified email at nd.edu
Yoganand (Yoga) BalagurunathanMoffitt Cancer CenterVerified email at moffitt.org
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research InstituteVerified email at moffitt.org
Steven EschrichMoffitt Cancer CenterVerified email at moffitt.org
Matthew ShreveResearch Scientist at PARCVerified email at parc.com
Adam HooverElectrical & Computer Engineering, Clemson UniversityVerified email at g.clemson.edu
Chandra KambhamettuProfessor of Computer Science and Director of Video/Image Modeling and Synthesis (VIMS) Lab, University of DelawareVerified email at udel.edu
Vasant ManoharAmazon.comVerified email at amazon.com
Rahul PaulMassachusetts General Hospital, Harvard Medical SchoolVerified email at mail.usf.edu
Kurt KramerLarcos AquacultureVerified email at larcosaqua.com
Yu SunProfessor of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
peter moutonUniversity of South FloridaVerified email at disector.com
Virendra KumarAdditional Professor, Department of NMR, All India Institute of Medical SciencesVerified email at aiims.edu
Mu ZhouStanford UniversityVerified email at stanford.edu
Ghada ZamzmiNational Institute of Health (NIH)Verified email at mail.nih.gov
Padmanabhan SoundararajanNielsenVerified email at nielsen.com

Dmitry Goldgof

Professor of Computer Science and Engineering, University of South Florida, Moffitt Cancer Center

Verified email at mail.usf.edu - Homepage

Medical Image Analysis Image and Video Processing Pattern Recognition Ethics and Computing Bioinformatics and Bioengineering


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Radiomics: the process and the challenges V Kumar, Y Gu, S Basu, A Berglund, SA Eschrich, MB Schabath, K Forster, ... Magnetic resonance imaging 30 (9), 1234-1248, 2012	1287	2012
An experimental comparison of range image segmentation algorithms A Hoover, G Jean-Baptiste, X Jiang, PJ Flynn, H Bunke, DB Goldgof, ... IEEE transactions on pattern analysis and machine intelligence 18 (7), 673-689, 1996	1146	1996
Automatic tumor segmentation using knowledge-based techniques MC Clark, LO Hall, DB Goldgof, R Velthuizen, FR Murtagh, MS Silbiger IEEE transactions on medical imaging 17 (2), 187-201, 1998	654	1998
Framework for performance evaluation of face, text, and vehicle detection and tracking in video: Data, metrics, and protocol R Kasturi, D Goldgof, P Soundararajan, V Manohar, J Garofolo, R Bowers, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 319-336, 2008	563	2008
Understanding transit scenes: A survey on human behavior-recognition algorithms J Candamo, M Shreve, DB Goldgof, DB Sapper, R Kasturi IEEE transactions on intelligent transportation systems 11 (1), 206-224, 2009	352	2009
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images LM Fletcher-Heath, LO Hall, DB Goldgof, FR Murtagh Artificial intelligence in medicine 21 (1-3), 43-63, 2001	351	2001
MRI segmentation using fuzzy clustering techniques MC Clark, LO Hall, DB Goldgof, LP Clarke, RP Velthuizen, MS Silbiger IEEE Engineering in Medicine and Biology Magazine 13 (5), 730-742, 1994	288	1994
Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels M Shafiq‐ul‐Hassan, GG Zhang, K Latifi, G Ullah, DC Hunt, ... Medical physics 44 (3), 1050-1062, 2017	281	2017
Fast accurate fuzzy clustering through data reduction S Eschrich, J Ke, LO Hall, DB Goldgof IEEE transactions on fuzzy systems 11 (2), 262-270, 2003	273	2003
Active learning to recognize multiple types of plankton. T Luo, K Kramer, DB Goldgof, LO Hall, S Samson, A Remsen, T Hopkins, ... Journal of Machine Learning Research 6 (4), 2005	259	2005
Reproducibility and prognosis of quantitative features extracted from CT images Y Balagurunathan, Y Gu, H Wang, V Kumar, O Grove, S Hawkins, J Kim, ... Translational oncology 7 (1), 72-87, 2014	258	2014
Knowledge-based classification and tissue labeling of MR images of human brain C Li, DB Goldgof, LO Hall IEEE transactions on Medical Imaging 12 (4), 740-750, 1993	254	1993
Deformable models in medical image analysis A Singh, D Terzopoulos, DB Goldgof IEEE Computer Society Press, 1998	218	1998
Macro-and micro-expression spotting in long videos using spatio-temporal strain M Shreve, S Godavarthy, D Goldgof, S Sarkar 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011	188	2011
Test–retest reproducibility analysis of lung CT image features Y Balagurunathan, V Kumar, Y Gu, J Kim, H Wang, Y Liu, DB Goldgof, ... Journal of digital imaging 27 (6), 805-823, 2014	186	2014
Fast fuzzy clustering TW Cheng, DB Goldgof, LO Hall Fuzzy sets and systems 93 (1), 49-56, 1998	186	1998
Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging AA Maudsley, A Darkazanli, JR Alger, LO Hall, N Schuff, C Studholme, ... NMR in Biomedicine 19 (4), 492-503, 2006	183	2006
Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches M Zhou, J Scott, B Chaudhury, L Hall, D Goldgof, KW Yeom, M Iv, Y Ou, ... American Journal of Neuroradiology 39 (2), 208-216, 2018	181	2018
Predicting malignant nodules from screening CT scans S Hawkins, H Wang, Y Liu, A Garcia, O Stringfield, H Krewer, Q Li, ... Journal of Thoracic Oncology 11 (12), 2120-2128, 2016	181	2016
Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images S Kumar, D Goldgof IEEE Transactions on Medical Imaging 13 (1), 122-132, 1994	181	1994

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