Dmitry Goldgof

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Lawrence HallProfessor of Computer Science and Engineering, University of South FloridaVerified email at usf.edu
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
Rangachar KasturiDouglas W. Hood Professor Emeritus of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Sudeep SarkarDistinguished University Professor, Computer Science and Engineering, University of South FloridaVerified email at 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
peter moutonUniversity of South FloridaVerified email at disector.com
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DameVerified email at nd.edu
Yu SunProfessor of Computer Science and Engineering, University of South FloridaVerified email at mail.usf.edu
Steven EschrichMoffitt Cancer CenterVerified email at moffitt.org
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
Vasant ManoharOptumLabs - UnitedHealth R&DVerified email at optum.com
Chandra KambhamettuProfessor of Computer Science and Director of Video/Image Modeling and Synthesis (VIMS) Lab, University of DelawareVerified email at udel.edu
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
Hady Ahmady PhouladyCalifornia State University, SacramentoVerified email at csus.edu
Padmanabhan SoundararajanNielsenVerified email at nielsen.com

Dmitry Goldgof

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

Verified email at mail.usf.edu - Homepage

Computer Science Biomedical AI Medical Image Analysis Image and Video Processing


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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	2373	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	1210	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	735	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	681	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	604	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	445	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	410	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	404	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	356	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	341	2005
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	318	2020
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	318	2016
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	301	2003
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	300	1994
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	295	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	284	2011
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	274	1993
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	260	2006
Deformable models in medical image analysis A Singh, D Terzopoulos, DB Goldgof IEEE Computer Society Press, 1998	224	1998
Deep feature transfer learning in combination with traditional features predicts survival among patients with lung adenocarcinoma R Paul, SH Hawkins, Y Balagurunathan, MB Schabath, RJ Gillies, LO Hall, ... Tomography 2 (4), 388, 2016	204	2016

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