Pushpak Pati
Pushpak Pati
Grad student at ETH Zurich
Verified email at zurich.ibm.com
Title
Cited by
Cited by
Year
Multi-organ gland segmentation using deep learning
T Binder, EM Tantaoui, P Pati, R Catena, A Set-Aghayan, M Gabrani
Frontiers in Medicine, 2019
202019
Towards Explainable Graph Representations in Digital Pathology
G Jaume*, P Pati*, A Foncubierta-Rodriguez, F Feroce, G Scognamiglio, ...
ICML, Computational Biology Workshop, 2020
132020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
P Pati*, G Jaume*, LA Fernandes, A Foncubierta, F Feroce, AM Anniciello, ...
MICCAI, Graphs in Biomedical Image Analysis Workshop, 2020
112020
Quantitative microimmunohistochemistry (qμIC): a method to grade immunostains in tumor tissues using saturation kinetics
A Kashyap*, A Fomitcheva Khartchenko*, P Pati, M Gabrani, P Schraml, ...
Nature Biomedical Engineering, 2019
102019
Quantifying Explainers of Graph Neural Networks in Computational Pathology
G Jaume*, P Pati*, B Bozorgtabar, A Foncubierta-Rodríguez, F Feroce, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
92020
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks
P Pati, A Foncubierta-Rodríguez, O Goksel, M Gabrani
Medical Image Analysis 67, 101859, 2021
62021
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology
M Stanisavljevic, A Anghel, N Papandreou, S Andani, P Pati, ...
ECCV, BioImage Computing Workshop, 2018
62018
FPGA implementation of rule optimization for stand-alone tunable fuzzy logic controller using GA
BR Jammu, P Pati, SK Patra, KK Mahapatra
Complex & Intelligent Systems 2 (2), 83-98, 2016
62016
Deep positive-unlabeled learning for region of interest localization in breast tissue images
P Pati, S Andani, M Pediaditis, MP Viana, JH Ruschoff, P Wild, M Gabrani
SPIE Medical Imaging 2018: Digital Pathology, 2018
52018
Hierarchical Graph Representations in Digital Pathology
P Pati*, G Jaume*, A Foncubierta, F Feroce, AM Anniciello, ...
Medical Image Analysis, 2021
4*2021
Tissue Staining Quality Determination
NM Arar, P Pati, M Gabrani, G Kaigala, A Kashyap, AF Khartchenko
US Patent App. 15/699,204, 2019
42019
Computational Immunohistochemistry: Recipes for Standardization of Immunostaining
NM Arar, P Pati, A Kashyap, AF Khartchenko, O Goksel, GV Kaigala, ...
MICCAI, 2017
42017
Mitosis detection under limited annotation: A joint learning approach
P Pati, A Foncubierta-Rodríguez, O Goksel, M Gabrani
IEEE International Symposium on Biomedical Imaging (ISBI), 2020
32020
A deep learning framework for context-aware mitotic activity estimation in whole slide images
P Pati, R Catena, O Goksel, M Gabrani
SPIE Medical Imaging 2019: Digital Pathology, 2019
32019
High-Quality Immunohistochemical Stains through Computational Assay Parameter Optimization
P Pati*, N Murat Arar*, A Kashyap, A Fomitcheva Khartchenko, O Goksel, ...
IEEE Transactions on Biomedical Engineering, 2019
32019
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
V Anklin*, P Pati*, G Jaume*, B Bozorgtabar, A Foncubierta-Rodríguez, ...
MICCAI, 2021
22021
NINEPINS: Nuclei Instance Segmentation with Point Annotations
TA Yen, HC Hsu, P Pati, M Gabrani, A Foncubierta-Rodríguez, PC Chung
arXiv preprint arXiv:2006.13556, 2020
22020
Biomarker quantification in a tissue sample
G Kaigala, AF Khartchenko, A Kashyap, M Gabrani, P Pati
US Patent App. 15/924,745, 2019
22019
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
G Jaume*, P Pati*, V Anklin, A Foncubierta, M Gabrani
MICCAI, Computational Pathology Workshop, 2021
12021
Histocartography: an entity-based workflow for histology image analysis
P Pati, G Jaume, AF Rodriguez, M Gabrani
VIRCHOWS ARCHIV 479 (SUPPL 1), S61-S62, 2021
2021
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Articles 1–20