Dmitry Goldgof

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Lawrence HallProfessor of Computer Science and Engineering, University of South FloridaCorreu electrònic verificat a usf.edu
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterCorreu electrònic verificat a moffitt.org
Rangachar KasturiDouglas W. Hood Professor Emeritus of Computer Science and Engineering, University of South FloridaCorreu electrònic verificat a mail.usf.edu
Sudeep SarkarDistinguished University Professor, Computer Science and Engineering, University of South FloridaCorreu electrònic verificat a usf.edu
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research InstituteCorreu electrònic verificat a moffitt.org
Yoganand (Yoga) BalagurunathanMoffitt Cancer CenterCorreu electrònic verificat a moffitt.org
peter moutonUniversity of South FloridaCorreu electrònic verificat a disector.com
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DameCorreu electrònic verificat a nd.edu
Yu SunProfessor of Computer Science and Engineering, University of South FloridaCorreu electrònic verificat a mail.usf.edu
Steven EschrichMoffitt Cancer CenterCorreu electrònic verificat a moffitt.org
Matthew ShreveSenior Applied Scientist at AmazonCorreu electrònic verificat a amazon.com
Adam HooverElectrical & Computer Engineering, Clemson UniversityCorreu electrònic verificat a g.clemson.edu
Kurt KramerLarcos AquacultureCorreu electrònic verificat a larcosaqua.com
Vasant ManoharOptumLabs - UnitedHealth R&DCorreu electrònic verificat a optum.com
Chandra KambhamettuProfessor of Computer Science and Director of Video/Image Modeling and Synthesis (VIMS) Lab, University of DelawareCorreu electrònic verificat a udel.edu
Mu ZhouStanford University; Rutgers UniversityCorreu electrònic verificat a stanford.edu
Virendra KumarProfessor, Department of NMR, All India Institute of Medical SciencesCorreu electrònic verificat a aiims.edu
Dmitry CherezovPhDCorreu electrònic verificat a usf.edu
Hady Ahmady PhouladyCalifornia State University, SacramentoCorreu electrònic verificat a csus.edu
Padmanabhan SoundararajanNielsenCorreu electrònic verificat a nielsen.com

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Dmitry Goldgof

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

Correu electrònic verificat a mail.usf.edu - Pàgina d'inici

Computer Science Biomedical AI Medical Image Analysis Image and Video Processing


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	2374	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	682	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	605	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	444	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	342	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	319	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	302	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	285	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	275	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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