Automatic detection and segmentation of liver metastatic lesions on serial CT examinations. - Avi Ben-Cohen; Idit Diamant; Eyal Klang; Michal Amitai; Hayit Greenspan (Computer-Aided Diagnosis, 2014)

Sparsity-based liver metastases detection using learned dictionaries. - Avi Ben-Cohen; Eyal Klang; Michal Amitai; Hayit Greenspan (ISBI, 2016)

Fully Convolutional Network for Liver Segmentation and Lesions Detection. - Avi Ben-Cohen; Idit Diamant; Eyal Klang; Michal Amitai; Hayit Greenspan (LABELS/DLMIA@MICCAI, 2016)

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. - Avi Ben-Cohen; Eyal Klang; Stephen P. Raskin; Michal Amitai; Hayit Greenspan (SASHIMI@MICCAI, 2017)

Anatomical data augmentation for CNN based pixel-wise classification. - Avi Ben-Cohen; Eyal Klang; Michal Marianne Amitai; Jacob Goldberger; Hayit Greenspan (ISBI, 2018)

Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks. - Alon Baram; Moshe Safran; Avi Ben-Cohen; Hayit Greenspan (MLMIR@MICCAI, 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 (RAMBO+BIA+TIA@MICCAI, 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 CNN Training using Disentanglement for Liver Lesion Classification in CT. - Avi Ben-Cohen; Roey Mechrez; Noa Yedidia; Hayit Greenspan (EMBC, 2019)

Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT. - Michal Heker; Avi Ben-Cohen; Hayit Greenspan (EMBC, 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Attention Network Robustification for Person ReID. - Hussam Lawen; Avi Ben-Cohen; Matan Protter; Itamar Friedman; Lihi Zelnik-Manor (CoRR, 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)

Compact Network Training for Person ReID. - Hussam Lawen; Avi Ben-Cohen; Matan Protter; Itamar Friedman; Lihi Zelnik-Manor (ICMR, 2020)

Semantic Diversity Learning for Zero-Shot Multi-label Classification. - Avi Ben-Cohen; Nadav Zamir; Emanuel Ben Baruch; Itamar Friedman; Lihi Zelnik-Manor (ICCV, 2021)

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 (CVPR, 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)

ML-Decoder: Scalable and Versatile Classification Head. - Tal Ridnik; Gilad Sharir; Avi Ben-Cohen; Emanuel Ben Baruch; Asaf Noy (WACV, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)