Jacob Gildenblat

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Feature Representation

Prognostic Factors

Multiple Instance

Top Venues

IET Image Process.

Publications

Jacob Gildenblat, Anil Yüce, Samaneh Abbasi-Sureshjani, Konstanty Korski
Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology. MICCAI (6) (2023)
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) (2022)
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 (2021)
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
Certainty Pooling for Multiple Instance Learning. ICPR Workshops (1) (2020)
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
Certainty Pooling for Multiple Instance Learning. CoRR (2020)
Jacob Gildenblat, Eldad Klaiman
Self-Supervised Similarity Learning for Digital Pathology. CoRR (2019)
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)
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) (2019)
Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman
Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks. CoRR (2018)
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 (2018)