Eldad Klaiman

According to our database, Eldad Klaiman authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

Training Transitive and Commutative Multimodal Transformers with LoReTTa.

Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

B-Cos Aligned Transformers Learn Human-Interpretable Features.

Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide 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

J. Imaging, 2022

2021

Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency.

Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, Eldad Klaiman

IEEE J. Biomed. Health Informatics, 2021

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization.

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

CoRR, 2021

2020

Certainty Pooling for Multiple Instance Learning.

Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks.

Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman

IET Image Process., 2019

Self-Supervised Similarity Learning for Digital Pathology.

Jacob Gildenblat, Eldad Klaiman

CoRR, 2019

Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer.

Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach.

Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman

Proceedings of the Digital Pathology - 15th European Congress, 2019

2018

Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks.

Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman

CoRR, 2018