Eldad Klaiman - RankMe

15 papers A* 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	B-Cos Aligned Transformers Learn Human-Interpretable Features. CoRR Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng
2023	—	`conf`	B-Cos Aligned Transformers Learn Human-Interpretable Features. MICCAI (8) Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng
2023	A*	`conf`	Training Transitive and Commutative Multimodal Transformers with LoReTTa. NeurIPS Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman
2022	J	`jnl`	HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging. J. Imaging Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia
2021	J	`jnl`	HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization. CoRR Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia
2021	J	`jnl`	Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency. IEEE J. Biomed. Health Informatics Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
2020	—	`conf`	Certainty Pooling for Multiple Instance Learning. ICPR Workshops (1) Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
2020	J	`jnl`	Certainty Pooling for Multiple Instance Learning. CoRR Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
2019	J	`jnl`	Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks. IET Image Process. Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman
2019	—	`conf`	Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. MICCAI (1) Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
2019	J	`jnl`	Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. CoRR Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
2019	J	`jnl`	Self-Supervised Similarity Learning for Digital Pathology. CoRR Jacob Gildenblat, Eldad Klaiman
2019	—	`conf`	Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach. ECDP Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman
2018	J	`jnl`	Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks. CoRR Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman
2018	J	`jnl`	Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach. CoRR Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman