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 Physiology, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
Sudeep SarkarDistinguished University Professor, Computer Science and Engineering, University of South FloridaVerified email at usf.edu
Rangachar KasturiDouglas W. Hood Professor Emeritus of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research InstituteVerified email at moffitt.org
Yoganand (Yoga) BalagurunathanMoffitt Cancer CenterVerified email at moffitt.org
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DameVerified email at nd.edu
peter moutonUniversity of South FloridaVerified email at disector.com
Yu SunProfessor of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Steven EschrichMoffitt Cancer CenterVerified email at moffitt.org
Rahul PaulCBER, FDAVerified email at mgh.harvard.edu
Matthew ShreveSenior Applied Scientist at AmazonVerified email at amazon.com
Adam HooverElectrical & Computer Engineering, Clemson UniversityVerified email at g.clemson.edu
Kurt KramerLarcos AquacultureVerified email at larcosaqua.com
Chandra KambhamettuProfessor of Computer Science and Director of Video/Image Modeling and Synthesis (VIMS) Lab, University of DelawareVerified email at udel.edu
Vasant ManoharOptumLabs - UnitedHealth R&DVerified email at optum.com
Mu ZhouStanford University; Rutgers UniversityVerified email at stanford.edu
Virendra KumarProfessor, Department of NMR, All India Institute of Medical SciencesVerified email at aiims.edu
Dmitry CherezovPhDVerified email at usf.edu
Samuel HawkinsBradley UniversityVerified email at fsmail.bradley.edu

Dmitry Goldgof

Distinguished Professor of Computer Science and Engineering, University of South Florida, Moffitt

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	2034	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	1192	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	716	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	640	2008
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	505	2017
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	411	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	401	2001
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	335	2018
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	330	2014
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	312	2005
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	302	1994
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	292	2003
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	279	2016
Finding covid-19 from chest x-rays using deep learning on a small dataset LO Hall, R Paul, DB Goldgof, GM Goldgof arXiv preprint arXiv:2004.02060, 2020	268	2020
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	265	1993
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, 805-823, 2014	264	2014
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	255	2011
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	234	2006
Deformable models in medical image analysis A Singh, D Terzopoulos, DB Goldgof IEEE Computer Society Press, 1998	220	1998
Fast fuzzy clustering TW Cheng, DB Goldgof, LO Hall Fuzzy sets and systems 93 (1), 49-56, 1998	196	1998

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