Avi Ben-Cohen - RankMe

27 papers A* 2A 1B 1Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	ML-Decoder: Scalable and Versatile Classification Head. WACV Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy
2023	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
2022	J	`jnl`	It's All in the Head: Representation Knowledge Distillation through Classifier Sharing. CoRR Emanuel Ben Baruch, Matan Karklinsky, Yossi Biton, Avi Ben-Cohen, Hussam Lawen, Nadav Zamir
2022	A*	`conf`	Multi-label Classification with Partial Annotations using Class-aware Selective Loss. CVPR Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor
2021	J	`jnl`	ML-Decoder: Scalable and Versatile Classification Head. CoRR Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy
2021	J	`jnl`	Multi-label Classification with Partial Annotations using Class-aware Selective Loss. CoRR Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor
2021	A*	`conf`	Semantic Diversity Learning for Zero-Shot Multi-label Classification. ICCV Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor
2021	J	`jnl`	Semantic Diversity Learning for Zero-Shot Multi-label Classification. CoRR Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor
2020	B	`conf`	Compact Network Training for Person ReID. ICMR Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor
2019	J	`jnl`	Attention Network Robustification for Person ReID. CoRR Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor
2019	J	`jnl`	Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection. Eng. Appl. Artif. Intell. Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
2019	—	`conf`	Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT. EMBC Michal Heker, Avi Ben-Cohen, Hayit Greenspan
2019	—	`conf`	Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. EMBC Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan
2019	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). CoRR Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze
2018	J	`jnl`	Anatomical Data Augmentation For CNN based Pixel-wise Classification. CoRR Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	Anatomical data augmentation for CNN based pixel-wise classification. ISBI Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
2018	J	`jnl`	Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection. CoRR Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
2018	J	`jnl`	Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations. Neurocomputing Avi Ben-Cohen, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Amitai, Hayit Greenspan
2018	J	`jnl`	Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. CoRR Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan
2018	—	`conf`	Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder. RAMBO+BIA+TIA@MICCAI Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan
2018	J	`jnl`	Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder. CoRR Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan
2018	—	`conf`	Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks. MLMIR@MICCAI Alon Baram, Moshe Safran, Avi Ben-Cohen, Hayit Greenspan
2017	—	`conf`	Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. SASHIMI@MICCAI Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan
2017	J	`jnl`	Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. CoRR Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan
2016	—	`conf`	Fully Convolutional Network for Liver Segmentation and Lesions Detection. LABELS/DLMIA@MICCAI Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan
2016	—	`conf`	Sparsity-based liver metastases detection using learned dictionaries. ISBI Avi Ben-Cohen, Eyal Klang, Michal Amitai, Hayit Greenspan
2014	—	`conf`	Automatic detection and segmentation of liver metastatic lesions on serial CT examinations. Computer-Aided Diagnosis Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan