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Pushpak Pati
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2020 – today
- 2024
- [j9]Pushpak Pati, Sofia Karkampouna, Francesco Bonollo, Eva Compérat, Martina Radic, Martin Spahn, Adriano Martinelli, Martin Wartenberg, Marianna Kruithof-de Julio, Maria Anna Rapsomaniki:
Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling. Nat. Mac. Intell. 6(9): 1077-1093 (2024) - [j8]Kevin Thandiackal, Luigi Piccinelli, Rajarsi Gupta, Pushpak Pati, Orcun Goksel:
Multi-Scale Feature Alignment for Continual Learning of Unlabeled Domains. IEEE Trans. Medical Imaging 43(7): 2599-2609 (2024) - [c15]Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna:
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CVPR 2024: 11226-11237 - [c14]Paras Goel, Saarthak Kapse, Pushpak Pati, Prateek Prasanna:
Coca-Mil: Attention-Based Handcrafted-Deep Feature Fusion in Computational Pathology. ISBI 2024: 1-5 - [c13]Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel:
Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology. MICCAI (5) 2024: 262-272 - [c12]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:
Hybrid Quantum-Classical Graph Neural Networks for Tumor Classification in Digital Pathology. QCE 2024: 1611-1616 - [i15]Mustafa Emre Sahin, Benjamin C. B. Symons, Pushpak Pati, Fayyaz Minhas, Declan Millar, Maria Gabrani, Jan Lukas Robertus, Stefano Mensa:
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. CoRR abs/2401.02879 (2024) - 2023
- [j7]Federico Gossi, Pushpak Pati, Panagiotis Chouvardas, Adriano Luca Martinelli, Marianna Kruithof-de Julio, Maria Anna Rapsomaniki:
Matching single cells across modalities with contrastive learning and optimal transport. Briefings Bioinform. 24(3) (2023) - [j6]Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel:
Weakly supervised joint whole-slide segmentation and classification in prostate cancer. Medical Image Anal. 89: 102915 (2023) - [j5]Boqi Chen, Kevin Thandiackal, Pushpak Pati, Orcun Goksel:
Generative appearance replay for continual unsupervised domain adaptation. Medical Image Anal. 89: 102924 (2023) - [i14]Boqi Chen, Kevin Thandiackal, Pushpak Pati, Orcun Goksel:
Generative appearance replay for continual unsupervised domain adaptation. CoRR abs/2301.01211 (2023) - [i13]Pushpak Pati, Guillaume Jaume, Zeineb Ayadi, Kevin Thandiackal, Behzad Bozorgtabar, Maria Gabrani, Orcun Goksel:
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer. CoRR abs/2301.02933 (2023) - [i12]Kevin Thandiackal, Luigi Piccinelli, Pushpak Pati, Orcun Goksel:
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains. CoRR abs/2302.01287 (2023) - [i11]Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna:
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR abs/2312.15010 (2023) - 2022
- [b1]Pushpak Pati:
Deep Learning of Entity-Guided Representations in Digital Pathology. ETH Zurich, Zürich, Switzerland, 2022 - [j4]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:
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. Database J. Biol. Databases Curation 2022(2022) (2022) - [j3]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:
Hierarchical graph representations in digital pathology. Medical Image Anal. 75: 102264 (2022) - [c11]Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel:
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. ECCV (21) 2022: 699-715 - [i10]Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel:
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. CoRR abs/2204.12454 (2022) - 2021
- [j2]Pushpak Pati, Antonio Foncubierta-Rodríguez, Orcun Goksel, Maria Gabrani:
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks. Medical Image Anal. 67: 101859 (2021) - [c10]Antonio Foncubierta-Rodríguez, Pushpak Pati, Guillaume Jaume, Maria Gabrani:
Histocartography: a pipeline for histology image analysis. AMIA 2021 - [c9]Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani:
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. COMPAY@MICCAI 2021: 117-128 - [c8]Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel:
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CVPR 2021: 8106-8116 - [c7]Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel:
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs. MICCAI (2) 2021: 636-646 - [i9]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:
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. CoRR abs/2102.11057 (2021) - [i8]Valentin Anklin, Pushpak Pati, Guillaume Jaume, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Jean-Philippe Thiran, Mathilde Sibony, Maria Gabrani, Orcun Goksel:
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs. CoRR abs/2103.03129 (2021) - [i7]Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani:
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology. CoRR abs/2107.10073 (2021) - [i6]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:
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. CoRR abs/2111.04740 (2021) - 2020
- [c6]Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani:
Mitosis Detection Under Limited Annotation: A Joint Learning Approach. ISBI 2020: 486-489 - [c5]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:
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. UNSURE/GRAIL@MICCAI 2020: 208-219 - [i5]Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani:
Mitosis Detection Under Limited Annotation: A Joint Learning Approach. CoRR abs/2006.09772 (2020) - [i4]Ting-An Yen, Hung-Chun Hsu, Pushpak Pati, Maria Gabrani, Antonio Foncubierta-Rodríguez, Pau-Choo Chung:
NINEPINS: Nuclei Instance Segmentation with Point Annotations. CoRR abs/2006.13556 (2020) - [i3]Guillaume Jaume, Pushpak Pati, Antonio Foncubierta-Rodríguez, Florinda Feroce, Giosue Scognamiglio, Anna Maria Anniciello, Jean-Philippe Thiran, Orcun Goksel, Maria Gabrani:
Towards Explainable Graph Representations in Digital Pathology. CoRR abs/2007.00311 (2020) - [i2]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:
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. CoRR abs/2007.00584 (2020) - [i1]Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel:
Quantifying Explainers of Graph Neural Networks in Computational Pathology. CoRR abs/2011.12646 (2020)
2010 – 2019
- 2019
- [j1]Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani:
High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization. IEEE Trans. Biomed. Eng. 66(10): 2952-2963 (2019) - [c4]Pushpak Pati, Raúl Catena, Orcun Goksel, Maria Gabrani:
A deep learning framework for context-aware mitotic activity estimation in whole slide images. Digital Pathology 2019: 1095609 - 2018
- [c3]Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis:
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology. ECCV Workshops (6) 2018: 424-436 - [c2]Pushpak Pati, Sonali Andani, Matthew Pediaditis, Matheus Palhares Viana, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani:
Deep positive-unlabeled learning for region of interest localization in breast tissue images. Digital Pathology 2018: 1058107 - 2017
- [c1]Nuri Murat Arar, Pushpak Pati, Aditya Kashyap, Anna Fomitcheva Khartchenko, Orcun Goksel, Govind V. Kaigala, Maria Gabrani:
Computational Immunohistochemistry: Recipes for Standardization of Immunostaining. MICCAI (2) 2017: 48-55
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