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Amal Lahiani
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Journal Articles
- 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) - 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)
Conference and Workshop Papers
- 2023
- [c4]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 - [c3]Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman:
Training Transitive and Commutative Multimodal Transformers with LoReTTa. NeurIPS 2023 - 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
Informal and Other Publications
- 2024
- [i4]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) - 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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