Ivan Kolesov
Ivan Kolesov
Post Doctoral Associate Stony Brook University
Verified email at stonybrook.edu
Title
Cited by
Cited by
Year
Optical flow estimation for flame detection in videos
M Mueller, P Karasev, I Kolesov, A Tannenbaum
IEEE Transactions on image processing 22 (7), 2786-2797, 2013
1102013
Graph curvature for differentiating cancer networks
R Sandhu, T Georgiou, E Reznik, L Zhu, I Kolesov, Y Senbabaoglu, ...
Scientific reports 5 (1), 1-13, 2015
912015
Fire and smoke detection in video with optimal mass transport based optical flow and neural networks
I Kolesov, P Karasev, A Tannenbaum, E Haber
2010 IEEE International Conference on Image Processing, 761-764, 2010
672010
An effective interactive medical image segmentation method using fast growcut
L Zhu, I Kolesov, Y Gao, R Kikinis, A Tannenbaum
MICCAI workshop on interactive medical image computing, 2014
582014
Anatomic and morphological evaluation of the quadriceps tendon using 3-dimensional magnetic resonance imaging reconstruction: applications for anterior cruciate ligament …
JW Xerogeanes, PM Mitchell, PA Karasev, IA Kolesov, SE Romine
The American journal of sports medicine 41 (10), 2392-2399, 2013
542013
Interactive medical image segmentation using PDE control of active contours
P Karasev, I Kolesov, K Fritscher, P Vela, P Mitchell, A Tannenbaum
IEEE transactions on medical imaging 32 (11), 2127-2139, 2013
462013
Graph curvature and the robustness of cancer networks
A Tannenbaum, C Sander, L Zhu, R Sandhu, I Kolesov, E Reznik, ...
arXiv preprint arXiv:1502.04512, 2015
212015
Optimal-mass-transfer-based estimation of glymphatic transport in living brain
V Ratner, L Zhu, I Kolesov, M Nedergaard, H Benveniste, A Tannenbaum
Medical Imaging 2015: Image Processing 9413, 94131J, 2015
182015
Ricci curvature and robustness of cancer networks
A Tannenbaum, C Sander, L Zhu, R Sandhu, I Kolesov, E Reznik, ...
arXiv preprint arXiv:1502.04512, 2015
142015
A stochastic approach to diffeomorphic point set registration with landmark constraints
I Kolesov, J Lee, G Sharp, P Vela, A Tannenbaum
IEEE transactions on pattern analysis and machine intelligence 38 (2), 238-251, 2015
102015
Interactive MRI segmentation with controlled active vision
P Karasev, I Kolesov, K Chudy, A Tannenbaum, G Muller, J Xerogeanes
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
102011
Augmented reality for three-dimensional model reconstruction
I Kolesov, A Villanueva, L Zhu
US Patent App. 15/655,630, 2019
72019
A video analytics framework for amorphous and unstructured anomaly detection
M Mueller, P Karasev, I Kolesov, A Tannenbaum
2011 18th IEEE International Conference on Image Processing, 2945-2948, 2011
62011
A stochastic approach for non-rigid image registration
I Kolesov, J Lee, P Vela, A Tannenbaum
Image Processing: Algorithms and Systems XI 8655, 86550U, 2013
42013
Guiding image segmentation on the fly: interactive segmentation from a feedback control perspective
L Zhu, P Karasev, I Kolesov, R Sandhu, A Tannenbaum
IEEE Transactions on Automatic Control 63 (10), 3276-3289, 2018
32018
Interactive Image Segmentation From A Feedback Control Perspective
L Zhu, P Karasev, I Kolesov, R Sandhu, A Tannenbaum
arXiv preprint arXiv:1606.08008, 2016
32016
Human supervisory control framework for interactive medical image segmentation
I Kolesov, P Karasev, G Muller, K Chudy, J Xerogeanes, A Tannenbaum
Computational Biomechanics for Medicine, 77-88, 2012
12012
Intraoperative prediction of tumor cell concentration from Mass Spectrometry Imaging
V Mohan, I Kolesov, FA Jolesz, NYR Agar, AR Tannenbaum
Int. Symp. Math. Theo. Netw. Syst., 2010
12010
Interactive image segmentation framework based on control theory
L Zhu, I Kolesov, V Ratner, P Karasev, A Tannenbaum
Medical Imaging 2015: Image Processing 9413, 941343, 2015
2015
Numerical Methods in Curve Evolution Theory.
P Karasev, I Kolesov, AR Tannenbaum
Computer Vision, A Reference Guide, 523-531, 2014
2014
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Articles 1–20