Pavel Kisilev

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 13

Top Topics

Multiple Kernel

Abnormality Detection

Top Venues

Medical Imaging: Computer-Aided Diagnosis

LABELS/DLMIA@MICCAI

Publications

Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev
Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting. AIAI (2) (2023)
Felix Goldberg, Yackov Lubarsky, Alexei Gaissinski, Dan Botchan, Pavel Kisilev
Pruning Neural Nets by Optimal Neuron Merging. ICPRAI (1) (2022)
Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. CoRR (2020)
Yoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev
Low-bit Quantization of Neural Networks for Efficient Inference. ICCV Workshops (2019)
Yoni Choukroun, Eli Kravchik, Pavel Kisilev
Low-bit Quantization of Neural Networks for Efficient Inference. CoRR (2019)
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach. CoRR (2018)
Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbell Y. Hashoul, Ron Kimmel
Computational mammography using deep neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (3) (2018)
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach. ISIT (2018)
Jeremias Sulam, Rami Ben-Ari, Pavel Kisilev
Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets. VCBM (2017)
Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network. VCBM (2017)
Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul
Medical sieve: a cognitive assistant for radiologists and cardiologists. Medical Imaging: Computer-Aided Diagnosis (2016)
Eli A. Meirom, Pavel Kisilev
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning. AISTATS (2016)
Pavel Kisilev, Eli Sason, Ella Barkan, Sharbell Y. Hashoul
Medical Image Description Using Multi-task-loss CNN. LABELS/DLMIA@MICCAI (2016)
Guy Amit, Sharbell Y. Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick
Automatic Dual-View Mass Detection in Full-Field Digital Mammograms. MICCAI (2) (2015)
Miri Erihov, Sharon Alpert, Pavel Kisilev, Sharbell Y. Hashoul
A Cross Saliency Approach to Asymmetry-Based Tumor Detection. MICCAI (3) (2015)
Pavel Kisilev, Eugene Walach, Ella Barkan, Boaz Ophir, Sharon Alpert, Sharbell Y. Hashoul
From medical image to automatic medical report generation. IBM J. Res. Dev. 59 (2/3) (2015)
Pavel Kisilev, Eugene Walach, Sharbell Y. Hashoul, Ella Barkan, Boaz Ophir, Sharon Alpert
Semantic description of medical image findings: structured learning approach. BMVC (2015)
Sharon Alpert, Pavel Kisilev
Unsupervised detection of abnormalities in medical images using salient features. Medical Imaging: Image Processing (2014)
Pavel Kisilev, Sharbell Y. Hashoul, Eugene Walach, Asaf Tzadok
Lesion classification using clinical and visual data fusion by multiple kernel learning. Medical Imaging: Computer-Aided Diagnosis (2014)
Anastasia Dubrovina, Pavel Kisilev, Daniel Freedman, Sagi Schein, Ruth Bergman
Efficient and robust image descriptor for GUI object classification. ICPR (2012)
Pavel Kisilev, Daniel Freedman, Eugene Walach, Asaf Tzadok, Yehuda Naveh
DFlow and DField: New features for capturing object and image relationships. ICPR (2012)
Marie Vans, Sagi Schein, Carl Staelin, Pavel Kisilev, Steven J. Simske, Ram Dagan, Shlomo Harush
Automatic visual inspection and defect detection on variable data prints. J. Electronic Imaging 20 (1) (2011)
Pavel Kisilev, Yohanan Sivan, Michal Aharon, Renato Keshet, Carl Staelin, Gregory Braverman, Shlomo Harush
Local Gray Component Replacement Using Image Analysis. Color Imaging Conference (2011)
Pavel Kisilev, Sagi Schein
Real-time video enhancement for high quality videoconferencing. MMSP (2010)
Daniel Freedman, Pavel Kisilev
Object-to-object color transfer: Optimal flows and SMSP transformations. CVPR (2010)
Daniel Freedman, Pavel Kisilev
KDE Paring and a Faster Mean Shift Algorithm. SIAM J. Imaging Sci. 3 (4) (2010)
Pavel Kisilev, Daniel Freedman
Parameter Tuning from Pairwise Preferences. BMVC (2010)
Daniel Freedman, Pavel Kisilev
Computing Color Transforms with Applications to Image Editing. J. Math. Imaging Vis. 37 (3) (2010)
Daniel Freedman, Pavel Kisilev
Fast Mean Shift by compact density representation. CVPR (2009)
Suk Hwan Lim, Ron Maurer, Pavel Kisilev
Denoising scheme for realistic digital photos from unknown sources. ICASSP (2009)
Daniel Freedman, Pavel Kisilev
Fast Data Reduction via KDE Approximation. DCC (2009)
Pavel Kisilev, Daniel Freedman
Color Transforms for Creative Image Editing. Color Imaging Conference (2009)
Pavel Kisilev
Automatic context-aware dust and scratch removal in scanned images. ICIP (2008)
Pavel Kisilev, Doron Shaked, Suk Hwan Lim
Noise and Signal Activity Maps for Better Imaging Algorithms. ICIP (2) (2007)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind separation of mixed images using multiscale transforms. ICIP (1) (2003)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind separation of mixed images using multiscale transforms. VCIP (2003)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
A Multiscale Framework For Blind Separation of Linearly Mixed Signals. J. Mach. Learn. Res. 4 (2003)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind source separation using multinode sparse representation. ICIP (3) (2001)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Wavelet representation and total variation regularization in emission tomography. ICIP (1) (2001)
Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter
Blind Source Separation via Multinode Sparse Representation. NIPS (2001)