Wavelet representation and total variation regularization in emission tomography. - Pavel Kisilev; Michael Zibulevsky; Yehoshua Y. Zeevi (ICIP (1), 2001)

Blind source separation using multinode sparse representation. - Pavel Kisilev; Michael Zibulevsky; Yehoshua Y. Zeevi (ICIP (3), 2001)

Blind Source Separation via Multinode Sparse Representation. - Michael Zibulevsky; Pavel Kisilev; Yehoshua Y. Zeevi; Barak A. Pearlmutter (NIPS, 2001)

Blind separation of mixed images using multiscale transforms. - Pavel Kisilev; Michael Zibulevsky; Yehoshua Y. Zeevi (VCIP, 2003)

A Multiscale Framework For Blind Separation of Linearly Mixed Signals. - Pavel Kisilev; Michael Zibulevsky; Yehoshua Y. Zeevi (J. Mach. Learn. Res., 2003)

Noise and Signal Activity Maps for Better Imaging Algorithms. - Pavel Kisilev; Doron Shaked; Suk Hwan Lim (ICIP (2), 2007)

Automatic context-aware dust and scratch removal in scanned images. - Pavel Kisilev (ICIP, 2008)

Fast Mean Shift by compact density representation. - Daniel Freedman; Pavel Kisilev (CVPR, 2009)

Fast Data Reduction via KDE Approximation. - Daniel Freedman; Pavel Kisilev (DCC, 2009)

Denoising scheme for realistic digital photos from unknown sources. - Suk Hwan Lim; Ron Maurer; Pavel Kisilev (ICASSP, 2009)

Color Transforms for Creative Image Editing. - Pavel Kisilev; Daniel Freedman (CIC, 2009)

Parameter Tuning from Pairwise Preferences. - Pavel Kisilev; Daniel Freedman (BMVC, 2010)

Object-to-object color transfer: Optimal flows and SMSP transformations. - Daniel Freedman; Pavel Kisilev (CVPR, 2010)

Real-time video enhancement for high quality videoconferencing. - Pavel Kisilev; Sagi Schein (MMSP, 2010)

Computing Color Transforms with Applications to Image Editing. - Daniel Freedman; Pavel Kisilev (J. Math. Imaging Vis., 2010)

KDE Paring and a Faster Mean Shift Algorithm. - Daniel Freedman; Pavel Kisilev (SIAM J. Imaging Sci., 2010)

Local Gray Component Replacement Using Image Analysis. - Pavel Kisilev; Yohanan Sivan; Michal Aharon; Renato Keshet; Carl Staelin; Gregory Braverman; Shlomo Harush (CIC, 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)

Efficient and robust image descriptor for GUI object classification. - Anastasia Dubrovina; Pavel Kisilev; Daniel Freedman; Sagi Schein; Ruth Bergman (ICPR, 2012)

DFlow and DField: New features for capturing object and image relationships. - Pavel Kisilev; Daniel Freedman; Eugene Walach; Asaf Tzadok; Yehuda Naveh (ICPR, 2012)

Lesion classification using clinical and visual data fusion by multiple kernel learning. - Pavel Kisilev; Sharbell Y. Hashoul; Eugene Walach; Asaf Tzadok (Computer-Aided Diagnosis, 2014)

Unsupervised detection of abnormalities in medical images using salient features. - Sharon Alpert; Pavel Kisilev (Image Processing, 2014)

Semantic description of medical image findings: structured learning approach. - Pavel Kisilev; Eugene Walach; Sharbell Y. Hashoul; Ella Barkan; Boaz Ophir; Sharon Alpert (BMVC, 2015)

Automatic Dual-View Mass Detection in Full-Field Digital Mammograms. - Guy Amit; Sharbell Y. Hashoul; Pavel Kisilev; Boaz Ophir; Eugene Walach; Aviad Zlotnick (MICCAI (2), 2015)

A Cross Saliency Approach to Asymmetry-Based Tumor Detection. - Miri Erihov; Sharon Alpert; Pavel Kisilev; Sharbell Y. Hashoul (MICCAI (3), 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)

NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning. - Eli A. Meirom; Pavel Kisilev (AISTATS, 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 002; Mohammadreza Negahdar; Yu Cao; Tyler Baldwin; et al. (Computer-Aided Diagnosis, 2016)

Medical Image Description Using Multi-task-loss CNN. - Pavel Kisilev; Eli Sason; Ella Barkan; Sharbell Y. Hashoul (LABELS/DLMIA@MICCAI, 2016)

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 (VCBM, 2017)

Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets. - Jeremias Sulam; Rami Ben-Ari; Pavel Kisilev (VCBM, 2017)

Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach. - Amir Bennatan; Yoni Choukroun; Pavel Kisilev (ISIT, 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)

Low-bit Quantization of Neural Networks for Efficient Inference. - Yoni Choukroun; Eli Kravchik; Fan Yang; Pavel Kisilev (ICCV Workshops, 2019)

Low-bit Quantization of Neural Networks for Efficient Inference. - Yoni Choukroun; Eli Kravchik; Pavel Kisilev (CoRR, 2019)

Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. - Yoni Choukroun; Michael Zibulevsky; Pavel Kisilev (CoRR, 2020)

Pruning Neural Nets by Optimal Neuron Merging. - Felix Goldberg; Yackov Lubarsky; Alexei Gaissinski; Dan Botchan; Pavel Kisilev (ICPRAI (1), 2022)

Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting. - Yackov Lubarsky; Alexei Gaissinski; Pavel Kisilev (AIAI (2), 2023)

Rethinking Data: Towards Better Performing Domain-Specific Small Language Models. - Boris Nazarov; Darya Frolova; Yackov Lubarsky; Alexei Gaissinski; Pavel Kisilev (GLOBECOM (Workshops), 2024)

Adaptive Consensus Gradients Aggregation for Scaled Distributed Training. - Yoni Choukroun; Shlomi Azoulay; Pavel Kisilev (CoRR, 2024)