Pushpak Pati

According to our database, Pushpak Pati authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training.

Mustafa Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Jan Lukas Robertus, Stefano Mensa

CoRR, 2024

2023

Weakly supervised joint whole-slide segmentation and classification in prostate cancer.

Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel

Medical Image Anal., October, 2023

Generative appearance replay for continual unsupervised domain adaptation.

Boqi Chen, Kevin Thandiackal, Pushpak Pati, Orcun Goksel

Medical Image Anal., October, 2023

Matching single cells across modalities with contrastive learning and optimal transport.

Federico Gossi, Pushpak Pati, Panagiotis Chouvardas, Adriano Luca Martinelli, Marianna Kruithof-de Julio, Maria Anna Rapsomaniki

Briefings Bioinform., May, 2023

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology.

Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna

CoRR, 2023

Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains.

Kevin Thandiackal, Luigi Piccinelli, Pushpak Pati, Orcun Goksel

CoRR, 2023

2022

Deep Learning of Entity-Guided Representations in Digital Pathology.

Pushpak Pati

PhD thesis, 2022

Hierarchical graph representations in digital pathology.

Pushpak Pati, Guillaume Jaume, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani

Medical Image Anal., 2022

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images.

Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, Daniel Riccio, Giosuè Scognamiglio, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito, Antonio Foncubierta, Gerardo Botti, Maria Gabrani, Florinda Feroce, Maria Frucci

Database J. Biol. Databases Curation, 2022

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images.

Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks.

Pushpak Pati, Antonio Foncubierta-Rodríguez, Orcun Goksel, Maria Gabrani

Medical Image Anal., 2021

Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology.

Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani

CoRR, 2021

Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs.

Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Quantifying Explainers of Graph Neural Networks in Computational Pathology.

Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HistoCartography: A Toolkit for Graph Analytics in Digital Pathology.

Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Histocartography: a pipeline for histology image analysis.

Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Towards Explainable Graph Representations in Digital Pathology.

Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodríguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani

CoRR, 2020

NINEPINS: Nuclei Instance Segmentation with Point Annotations.

Ting-An Yen, Hung-Chun Hsu, Pushpak Pati, Maria Gabrani, Antonio Foncubierta-Rodríguez, Pau-Choo Chung

CoRR, 2020

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.

Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Mitosis Detection Under Limited Annotation: A Joint Learning Approach.

Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.

Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani

IEEE Trans. Biomed. Eng., 2019

A deep learning framework for context-aware mitotic activity estimation in whole slide images.

Pushpak Pati, Raúl Catena, Orcun Goksel, Maria Gabrani

Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

2018

Deep positive-unlabeled learning for region of interest localization in breast tissue images.

Pushpak Pati, Sonali Andani, Matthew Pediaditis, Matheus Palhares Viana, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology.

Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Computational Immunohistochemistry: Recipes for Standardization of Immunostaining.

Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017