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)

Self-Supervised Similarity Learning for Digital Pathology. - Jacob Gildenblat; Eldad Klaiman (CoRR, 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)

Certainty Pooling for Multiple Instance Learning. - Jacob Gildenblat; Ido Ben-Shaul; Zvi Lapp; Eldad Klaiman (ICPR Workshops (1), 2020)

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; et al. (CoRR, 2021)

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; et al. (J. Imaging, 2022)

Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology. - Jacob Gildenblat; Anil Yüce; Samaneh Abbasi-Sureshjani; Konstanty Korski (MICCAI (6), 2023)

Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features. - Jacob Gildenblat; Ofir Hadar (CoRR, 2024)

Preserving clusters and correlations: a dimensionality reduction method for exceptionally high global structure preservation. - Jacob Gildenblat; Jens Pahnke (CoRR, 2025)