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)

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 (ECDP, 2019)

Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. - Amal Lahiani; Nassir Navab; Shadi Albarqouni; Eldad Klaiman (MICCAI (1), 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)

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)

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 (MICCAI (8), 2023)

Training Transitive and Commutative Multimodal Transformers with LoReTTa. - Manuel Tran; Yashin Dicente Cid; Amal Lahiani; Fabian J. Theis; Tingying Peng; Eldad Klaiman (NeurIPS, 2023)