Dmitry Goldgof

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16 articoli

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Lawrence HallProfessor of Computer Science and Engineering, University of South FloridaEmail verificata su mail.usf.edu
Robert GilliesChair of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer CenterEmail verificata su moffitt.org
Sudeep SarkarProfessor of Computer Science and Engineering, University of South Florida, TampaEmail verificata su usf.edu
Rangachar KasturiDouglas W. Hood Professor of Computer Science and Engineering, University of South FloridaEmail verificata su mail.usf.edu
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DameEmail verificata su nd.edu
Yoganand (Yoga) BalagurunathanMoffitt Cancer CenterEmail verificata su moffitt.org
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research InstituteEmail verificata su moffitt.org
Steven EschrichMoffitt Cancer CenterEmail verificata su moffitt.org
Matthew ShreveResearch Scientist at PARCEmail verificata su parc.com
Adam HooverElectrical & Computer Engineering, Clemson UniversityEmail verificata su g.clemson.edu
Chandra KambhamettuProfessor of Computer Science and Director of Video/Image Modeling and Synthesis (VIMS) Lab, University of DelawareEmail verificata su udel.edu
Vasant ManoharAmazon.comEmail verificata su amazon.com
Kurt KramerLarcos AquacultureEmail verificata su larcosaqua.com
Rahul PaulMassachusetts General Hospital, Harvard Medical SchoolEmail verificata su mail.usf.edu
Yu SunProfessor of Computer Science and Engineering, University of South FloridaEmail verificata su mail.usf.edu
peter moutonUniversity of South FloridaEmail verificata su disector.com
Virendra KumarAdditional Professor, Department of NMR, All India Institute of Medical SciencesEmail verificata su aiims.edu
Mu ZhouStanford UniversityEmail verificata su stanford.edu
Ghada ZamzmiNational Institute of Health (NIH)Email verificata su mail.nih.gov
Padmanabhan SoundararajanNielsenEmail verificata su nielsen.com

Dmitry Goldgof

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

Email verificata su mail.usf.edu - Home page

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


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	1190	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	1118	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	649	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	556	2008
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	344	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	338	2009
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	284	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	267	2003
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	255	2017
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	251	1993
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	249	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	244	2014
Deformable models in medical image analysis A Singh, D Terzopoulos, DB Goldgof IEEE Computer Society Press, 1998	213	1998
Fast fuzzy clustering TW Cheng, DB Goldgof, LO Hall Fuzzy sets and systems 93 (1), 49-56, 1998	184	1998
Macro-and micro-expression spotting in long videos using spatio-temporal strain M Shreve, S Godavarthy, D Goldgof, S Sarkar Face and Gesture 2011, 51-56, 2011	180	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	176	2014
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	176	1994
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	175	2006
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	167	2016
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	164	2018

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