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Avi Ben-Cohen
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2020 – today
- 2023
- [j3]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c13]Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy:
ML-Decoder: Scalable and Versatile Classification Head. WACV 2023: 32-41 - 2022
- [c12]Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor:
Multi-label Classification with Partial Annotations using Class-aware Selective Loss. CVPR 2022: 4754-4762 - [i11]Emanuel Ben Baruch, Matan Karklinsky, Yossi Biton, Avi Ben-Cohen, Hussam Lawen, Nadav Zamir:
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing. CoRR abs/2201.06945 (2022) - 2021
- [c11]Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor:
Semantic Diversity Learning for Zero-Shot Multi-label Classification. ICCV 2021: 620-630 - [i10]Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor:
Semantic Diversity Learning for Zero-Shot Multi-label Classification. CoRR abs/2105.05926 (2021) - [i9]Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor:
Multi-label Classification with Partial Annotations using Class-aware Selective Loss. CoRR abs/2110.10955 (2021) - [i8]Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben Baruch, Asaf Noy:
ML-Decoder: Scalable and Versatile Classification Head. CoRR abs/2111.12933 (2021) - 2020
- [c10]Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor:
Compact Network Training for Person ReID. ICMR 2020: 164-171
2010 – 2019
- 2019
- [j2]Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan:
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection. Eng. Appl. Artif. Intell. 78: 186-194 (2019) - [c9]Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan:
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. EMBC 2019: 886-889 - [c8]Michal Heker, Avi Ben-Cohen, Hayit Greenspan:
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT. EMBC 2019: 895-898 - [i7]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
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i6]Hussam Lawen, Avi Ben-Cohen, Matan Protter, Itamar Friedman, Lihi Zelnik-Manor:
Attention Network Robustification for Person ReID. CoRR abs/1910.07038 (2019) - 2018
- [j1]Avi Ben-Cohen, Eyal Klang, Ariel Kerpel
Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations. Neurocomputing 275: 1585-1594 (2018) - [c7]Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan:
Anatomical data augmentation for CNN based pixel-wise classification. ISBI 2018: 1096-1099 - [c6]Alon Baram, Moshe Safran, Avi Ben-Cohen, Hayit Greenspan:
Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks. MLMIR@MICCAI 2018: 138-146 - [c5]Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan:
Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder. RAMBO+BIA+TIA@MICCAI 2018: 159-168 - [i5]Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan:
Anatomical Data Augmentation For CNN based Pixel-wise Classification. CoRR abs/1801.02261 (2018) - [i4]Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan:
Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection. CoRR abs/1802.07846 (2018) - [i3]Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan:
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder. CoRR abs/1810.02113 (2018) - [i2]Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan:
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. CoRR abs/1811.00501 (2018) - 2017
- [c4]Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan:
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. SASHIMI@MICCAI 2017: 49-57 - [i1]Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan:
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. CoRR abs/1707.09585 (2017) - 2016
- [c3]Avi Ben-Cohen, Eyal Klang, Michal Amitai, Hayit Greenspan:
Sparsity-based liver metastases detection using learned dictionaries. ISBI 2016: 1195-1198 - [c2]Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan:
Fully Convolutional Network for Liver Segmentation and Lesions Detection. LABELS/DLMIA@MICCAI 2016: 77-85 - 2014
- [c1]Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan:
Automatic detection and segmentation of liver metastatic lesions on serial CT examinations. Medical Imaging: Computer-Aided Diagnosis 2014: 903519
Coauthor Index
aka: Michal Marianne Amitai
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