Avi Ben-Cohen

According to our database, Avi Ben-Cohen authored at least 19 papers between 2014 and 2023.

Collaborative distances:

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

2023

The Liver Tumor Segmentation Benchmark (LiTS).

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

Medical Image Anal., 2023

ML-Decoder: Scalable and Versatile Classification Head.

Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

It's All in the Head: Representation Knowledge Distillation through Classifier Sharing.

Emanuel Ben Baruch, Matan Karklinsky, Yossi Biton, Avi Ben-Cohen, Hussam Lawen, Nadav Zamir

CoRR, 2022

Multi-label Classification with Partial Annotations using Class-aware Selective Loss.

Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Semantic Diversity Learning for Zero-Shot Multi-label Classification.

Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Compact Network Training for Person ReID.

Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

2019

Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection.

Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan

Eng. Appl. Artif. Intell., 2019

Attention Network Robustification for Person ReID.

Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor

CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).

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

CoRR, 2019

Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT.

Michal Heker, Avi Ben-Cohen, Hayit Greenspan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Improving CNN Training using Disentanglement for Liver Lesion Classification in CT.

Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations.

Avi Ben-Cohen, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Amitai, Hayit Greenspan

Neurocomputing, 2018

Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder.

Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks.

Alon Baram, Moshe Safran, Avi Ben-Cohen, Hayit Greenspan

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Anatomical data augmentation for CNN based pixel-wise classification.

Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.

Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan

Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

2016

Fully Convolutional Network for Liver Segmentation and Lesions Detection.

Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan

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

Sparsity-based liver metastases detection using learned dictionaries.

Avi Ben-Cohen, Eyal Klang, Michal Amitai, Hayit Greenspan

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014

Automatic detection and segmentation of liver metastatic lesions on serial CT examinations.

Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan

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