Pavel Kisilev

According to our database, Pavel Kisilev authored at least 38 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting.

Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022

Pruning Neural Nets by Optimal Neuron Merging.

Felix Goldberg, Yackov Lubarsky, Alexei Gaissinski, Dan Botchan, Pavel Kisilev

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2020

Primal-Dual Sequential Subspace Optimization for Saddle-point Problems.

Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev

CoRR, 2020

2019

Low-bit Quantization of Neural Networks for Efficient Inference.

Yoni Choukroun, Eli Kravchik, Pavel Kisilev

CoRR, 2019

Low-bit Quantization of Neural Networks for Efficient Inference.

Yoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Computational mammography using deep neural networks.

Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbell Y. Hashoul, Ron Kimmel

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach.

Amir Bennatan, Yoni Choukroun, Pavel Kisilev

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets.

Jeremias Sulam, Rami Ben-Ari, Pavel Kisilev

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network.

Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

2016

Medical Image Description Using Multi-task-loss CNN.

Pavel Kisilev, Eli Sason, Ella Barkan, Sharbell Y. Hashoul

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Medical sieve: a cognitive assistant for radiologists and cardiologists.

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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning.

Eli A. Meirom, Pavel Kisilev

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

From medical image to automatic medical report generation.

Pavel Kisilev, Eugene Walach, Ella Barkan, Boaz Ophir, Sharon Alpert, Sharbell Y. Hashoul

IBM J. Res. Dev., 2015

A Cross Saliency Approach to Asymmetry-Based Tumor Detection.

Miri Erihov, Sharon Alpert, Pavel Kisilev, Sharbell Y. Hashoul

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Automatic Dual-View Mass Detection in Full-Field Digital Mammograms.

Guy Amit, Sharbell Y. Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Semantic description of medical image findings: structured learning approach.

Pavel Kisilev, Eugene Walach, Sharbell Y. Hashoul, Ella Barkan, Boaz Ophir, Sharon Alpert

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Unsupervised detection of abnormalities in medical images using salient features.

Sharon Alpert, Pavel Kisilev

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Lesion classification using clinical and visual data fusion by multiple kernel learning.

Pavel Kisilev, Sharbell Y. Hashoul, Eugene Walach, Asaf Tzadok

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2012

DFlow and DField: New features for capturing object and image relationships.

Pavel Kisilev, Daniel Freedman, Eugene Walach, Asaf Tzadok, Yehuda Naveh

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Efficient and robust image descriptor for GUI object classification.

Anastasia Dubrovina, Pavel Kisilev, Daniel Freedman, Sagi Schein, Ruth Bergman

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Automatic visual inspection and defect detection on variable data prints.

Marie Vans, Sagi Schein, Carl Staelin, Pavel Kisilev, Steven J. Simske, Ram Dagan, Shlomo Harush

J. Electronic Imaging, 2011

Local Gray Component Replacement Using Image Analysis.

Pavel Kisilev, Yohanan Sivan, Michal Aharon, Renato Keshet, Carl Staelin, Gregory Braverman, Shlomo Harush

Proceedings of the 19th Color and Imaging Conference, 2011

2010

KDE Paring and a Faster Mean Shift Algorithm.

Daniel Freedman, Pavel Kisilev

SIAM J. Imaging Sci., 2010

Computing Color Transforms with Applications to Image Editing.

Daniel Freedman, Pavel Kisilev

J. Math. Imaging Vis., 2010

Real-time video enhancement for high quality videoconferencing.

Pavel Kisilev, Sagi Schein

Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010

Object-to-object color transfer: Optimal flows and SMSP transformations.

Daniel Freedman, Pavel Kisilev

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Parameter Tuning from Pairwise Preferences.

Pavel Kisilev, Daniel Freedman

Proceedings of the British Machine Vision Conference, 2010

2009

Color Transforms for Creative Image Editing.

Pavel Kisilev, Daniel Freedman

Proceedings of the 17th Color and Imaging Conference, 2009

Denoising scheme for realistic digital photos from unknown sources.

Suk Hwan Lim, Ron Maurer, Pavel Kisilev

Proceedings of the IEEE International Conference on Acoustics, 2009

Fast Data Reduction via KDE Approximation.

Daniel Freedman, Pavel Kisilev

Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

Fast Mean Shift by compact density representation.

Daniel Freedman, Pavel Kisilev

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Automatic context-aware dust and scratch removal in scanned images.

Pavel Kisilev

Proceedings of the International Conference on Image Processing, 2008

2007

Noise and Signal Activity Maps for Better Imaging Algorithms.

Pavel Kisilev, Doron Shaked, Suk Hwan Lim

Proceedings of the International Conference on Image Processing, 2007

2003

A Multiscale Framework For Blind Separation of Linearly Mixed Signals.

Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi

J. Mach. Learn. Res., 2003

Blind separation of mixed images using multiscale transforms.

Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2003 International Conference on Image Processing, 2003

2001

Blind Source Separation via Multinode Sparse Representation.

Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Blind source separation using multinode sparse representation.

Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2001 International Conference on Image Processing, 2001

Wavelet representation and total variation regularization in emission tomography.

Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2001 International Conference on Image Processing, 2001