Pushpak Pati

48 papers A* 2Misc 2Journal 30Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models.
CoRR
Amina Mollaysa, Artem Moskalev, Pushpak Pati, Tommaso Mansi, Mangal Prakash, Rui Liao
2025 J jnl
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology.
CoRR
Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna
2025 — conf
MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos.
UNSURE@MICCAI
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 J jnl
MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos.
CoRR
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 — conf
MoMIL: Mixture of Multi-instance Learners for Modeling Multiple Compound Activities in High Content Imaging.
MICCAI (13)
Pushpak Pati, Hsiu-Chi Cheng, Steffen Jaensch, Walid M. Abdelmoula, Krishna Chaitanya, Michiel Van Dyck, Tomé Albuquerque, Samantha Allen, Litao Zhang, Tommaso Mansi, Rui Liao, Zhoubing Xu
2025 J jnl
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology.
CoRR
Vishwesh Ramanathan, Tony Xu, Pushpak Pati, Faruk Ahmed, Maged Goubran, Anne L. Martel
2025 J jnl
TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning.
CoRR
Varun Belagali, Saarthak Kapse, Pierre Marza, Srijan Das, Zilinghan Li, Sofiène Boutaj, Pushpak Pati, Srikar Yellapragada, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Prateek Prasanna, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras
2024 J jnl
Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling.
Nat. Mac. Intell.
Pushpak Pati, Sofia Karkampouna, Francesco Bonollo, Eva Compérat, Martina Radic, Martin Spahn, Adriano Martinelli, Martin Wartenberg, Marianna Kruithof-de Julio, Maria Anna Rapsomaniki
2024 — conf
Coca-Mil: Attention-Based Handcrafted-Deep Feature Fusion in Computational Pathology.
ISBI
Paras Goel, Saarthak Kapse, Pushpak Pati, Prateek Prasanna
2024 J jnl
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training.
CoRR
Mustafa Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Jan Lukas Robertus, Stefano Mensa
2024 J jnl
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training.
Quantum
Mustafa Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Stefano Mensa, Jan Lukas Robertus
2024 — conf
Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology.
MICCAI (5)
Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel
2024 Misc conf
Hybrid Quantum-Classical Graph Neural Networks for Tumor Classification in Digital Pathology.
QCE
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
2024 J jnl
Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains.
IEEE Trans. Medical Imaging
Kevin Thandiackal, Luigi Piccinelli, Rajarsi Gupta, Pushpak Pati, Orcun Goksel
2024 A* conf
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology.
CVPR
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
2023 J jnl
Generative appearance replay for continual unsupervised domain adaptation.
CoRR
Boqi Chen, Kevin Thandiackal, Pushpak Pati, Orcun Goksel
2023 J jnl
Generative appearance replay for continual unsupervised domain adaptation.
Medical Image Anal.
Boqi Chen, Kevin Thandiackal, Pushpak Pati, Orcun Goksel
2023 J jnl
Matching single cells across modalities with contrastive learning and optimal transport.
Briefings Bioinform.
Federico Gossi, Pushpak Pati, Panagiotis Chouvardas, Adriano Luca Martinelli, Marianna Kruithof-de Julio, Maria Anna Rapsomaniki
2023 J jnl
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains.
CoRR
Kevin Thandiackal, Luigi Piccinelli, Pushpak Pati, Orcun Goksel
2023 J jnl
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology.
CoRR
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
2023 J jnl
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer.
CoRR
Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel
2023 J jnl
Weakly supervised joint whole-slide segmentation and classification in prostate cancer.
Medical Image Anal.
Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel
2022 J jnl
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images.
Database J. Biol. Databases Curation
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
2022 — —
Deep Learning of Entity-Guided Representations in Digital Pathology.
Pushpak Pati
2022 — conf
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images.
ECCV (21)
Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
2022 J jnl
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images.
CoRR
Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
2022 J jnl
Hierarchical graph representations in digital pathology.
Medical Image Anal.
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
2021 J jnl
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images.
CoRR
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
2021 J jnl
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology.
CoRR
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
2021 — conf
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology.
COMPAY@MICCAI
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani
2021 J jnl
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology.
CoRR
Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani
2021 Misc conf
Histocartography: a pipeline for histology image analysis.
AMIA
Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani
2021 — conf
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs.
MICCAI (2)
Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
2021 J jnl
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs.
CoRR
Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel
2021 A* conf
Quantifying Explainers of Graph Neural Networks in Computational Pathology.
CVPR
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
2021 J jnl
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks.
Medical Image Anal.
Pushpak Pati, Antonio Foncubierta-Rodríguez, Orcun Goksel, Maria Gabrani
2020 — conf
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.
UNSURE/GRAIL@MICCAI
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
2020 J jnl
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.
CoRR
Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta, 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
2020 — conf
Mitosis Detection Under Limited Annotation: A Joint Learning Approach.
ISBI
Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani
2020 J jnl
Mitosis Detection Under Limited Annotation: A Joint Learning Approach.
CoRR
Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani
2020 J jnl
NINEPINS: Nuclei Instance Segmentation with Point Annotations.
CoRR
Ting-An Yen, Hung-Chun Hsu, Pushpak Pati, Maria Gabrani, Antonio Foncubierta-Rodríguez, Pau-Choo Chung
2020 J jnl
Quantifying Explainers of Graph Neural Networks in Computational Pathology.
CoRR
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
2020 J jnl
Towards Explainable Graph Representations in Digital Pathology.
CoRR
Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodríguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani
2019 — conf
A deep learning framework for context-aware mitotic activity estimation in whole slide images.
Digital Pathology
Pushpak Pati, Raúl Catena, Orcun Goksel, Maria Gabrani
2019 J jnl
High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.
IEEE Trans. Biomed. Eng.
Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani
2018 — conf
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology.
ECCV Workshops (6)
Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis
2018 — conf
Deep positive-unlabeled learning for region of interest localization in breast tissue images.
Digital Pathology
Pushpak Pati, Sonali Andani, Matthew Pediaditis, Matheus Palhares Viana, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani
2017 — conf
Computational Immunohistochemistry: Recipes for Standardization of Immunostaining.
MICCAI (2)
Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani