Dmitry Goldgof
Dmitry Goldgof
Professor of Computer Science and Engineering, University of South Florida, Moffitt Cancer Center
Bestätigte E-Mail-Adresse bei mail.usf.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
12512012
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
11331996
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
6551998
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
5602008
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
3512001
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
3412009
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
2891994
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
2742017
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
2712003
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
2532005
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
2531993
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
2522014
Deformable models in medical image analysis
A Singh, D Terzopoulos, DB Goldgof
IEEE Computer Society Press, 1998
2161998
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
1882011
Fast fuzzy clustering
TW Cheng, DB Goldgof, LO Hall
Fuzzy sets and systems 93 (1), 49-56, 1998
1871998
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
1852014
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
1841994
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
1802016
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
1802006
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
1742018
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