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2020 – today
- 2024
[i7]Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng:
B-Cos Aligned Transformers Learn Human-Interpretable Features. CoRR abs/2401.08868 (2024)- 2023
- [c5]Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng:
B-Cos Aligned Transformers Learn Human-Interpretable Features. MICCAI (8) 2023: 514-524 - [c4]Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman:
Training Transitive and Commutative Multimodal Transformers with LoReTTa. NeurIPS 2023 - 2022
- [j3]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:
HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging. J. Imaging 8(8): 213 (2022) - 2021
- [j2]Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, Eldad Klaiman:
Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency. IEEE J. Biomed. Health Informatics 25(2): 403-411 (2021) - [i6]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:
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization. CoRR abs/2111.04738 (2021) - 2020
- [c3]Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman:
Certainty Pooling for Multiple Instance Learning. ICPR Workshops (1) 2020: 141-153 - [i5]Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman:
Certainty Pooling for Multiple Instance Learning. CoRR abs/2008.10548 (2020)
2010 – 2019
- 2019
- [j1]Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman:
Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks. IET Image Process. 13(7): 1066-1073 (2019) - [c2]Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman:
Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach. ECDP 2019: 47-55 - [c1]Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman:
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. MICCAI (1) 2019: 568-576 - [i4]Jacob Gildenblat, Eldad Klaiman:
Self-Supervised Similarity Learning for Digital Pathology. CoRR abs/1905.08139 (2019) - [i3]Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman:
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. CoRR abs/1906.00617 (2019) - 2018
- [i2]Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman:
Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks. CoRR abs/1805.06958 (2018) - [i1]Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman:
Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach. CoRR abs/1810.06415 (2018)
Coauthor Index
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