Pushpak Pati
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology. | Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna |
| 2025 | ICCV | Modaltune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-Task Learning in Digital Pathology. | Vishwesh Ramanathan, Tony Xu, Pushpak Pati, Faruk Ahmed, Maged Goubran, Anne L. Martel |
| 2025 | MICCAI | MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos. | Damola Agbelese, Krishna Chaitanya, Pushpak Pati, Chaitanya Parmar, Pooya Mobadersany, Shreyas Fadnavis, Lindsey Surace, Shadi Yarandi, Louis Ghanem, Molly V. Lucas, Tommaso Mansi, Gabriela Oana Cula, Pablo F. Damasceno, Kristopher Standish |
| 2025 | MICCAI | MoMIL: Mixture of Multi-instance Learners for Modeling Multiple Compound Activities in High Content Imaging. | Pushpak Pati, Hsiu-Chi Cheng, Steffen Jaensch, Walid M. Abdelmoula, Krishna Chaitanya, Michiel Van Dyck, Tom Albuquerque, Samantha Allen, Litao Zhang, Tommaso Mansi, Rui Liao, Zhoubing Xu |
| 2024 | CVPR | 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 |
| 2024 | MICCAI | Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology. | Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel |
| 2024 | QCE | Hybrid Quantum-Classical Graph Neural Networks for Tumor Classification in Digital Pathology. | Anupama Ray, Dhiraj Madan, Srushti Patil, Pushpak Pati, Maria Anna Rapsomaniki, Aviwe Kohlakala, Thembelihle Rose Dlamini, Stephanie Julia Muller, Kahn Rhrissorrakrai, Filippo Utro, Laxmi Parida |
| 2022 | ECCV | 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 |
| 2021 | AMIA | Histocartography: a pipeline for histology image analysis. | Antonio Foncubierta-Rodrguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani |
| 2021 | CVPR | 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 |
| 2021 | MICCAI | Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. | Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodrguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel |
| 2020 | MICCAI | HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. | Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodrguez, 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 |
| 2018 | ECCV | 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 Rschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis |
| 2017 | MICCAI | Computational Immunohistochemistry: Recipes for Standardization of Immunostaining. | Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani |