Jacob Gildenblat

13 papers Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dimensionality reduction with strong global structure preservation.
Pattern Anal. Appl.
Jacob Gildenblat, Jens Pahnke
2025 J jnl
Preserving clusters and correlations: a dimensionality reduction method for exceptionally high global structure preservation.
CoRR
Jacob Gildenblat, Jens Pahnke
2024 J jnl
Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features.
CoRR
Jacob Gildenblat, Ofir Hadar
2023 — conf
Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology.
MICCAI (6)
Jacob Gildenblat, Anil Yüce, Samaneh Abbasi-Sureshjani, Konstanty Korski
2022 J jnl
HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging.
J. 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
2021 J jnl
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization.
CoRR
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
2020 — conf
Certainty Pooling for Multiple Instance Learning.
ICPR Workshops (1)
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
2020 J jnl
Certainty Pooling for Multiple Instance Learning.
CoRR
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
2019 J jnl
Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks.
IET Image Process.
Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman
2019 J jnl
Self-Supervised Similarity Learning for Digital Pathology.
CoRR
Jacob Gildenblat, Eldad Klaiman
2019 — conf
Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach.
ECDP
Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman
2018 J jnl
Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks.
CoRR
Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman
2018 J jnl
Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach.
CoRR
Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman