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 of 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
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
Steven EschrichMoffitt Cancer CenterVerified email at moffitt.org
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
Rahul PaulCBER, FDAVerified email at mgh.harvard.edu
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
Ghada ZamzmiNational Institute of Health (NIH)Verified email at mail.nih.gov
Kurt KramerLarcos AquacultureVerified email at larcosaqua.com
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

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	1798	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	1180	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	692	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	623	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	439	2017
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	385	2001
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	381	2009
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	311	2014
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	294	1994
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	288	2005
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	287	2018
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	284	2003
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	256	1993
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	252	2016
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	247	2014
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	238	2020
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	231	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	218	2006
Deformable models in medical image analysis A Singh, D Terzopoulos, DB Goldgof IEEE Computer Society Press, 1998	217	1998
Fast fuzzy clustering TW Cheng, DB Goldgof, LO Hall Fuzzy sets and systems 93 (1), 49-56, 1998	190	1998

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