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Pushpak Pati

Identifiers

  • name variant Pushpak Pati 0.60 · backfill

Papers (19)

  1. BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models cs.LG · 2025 · author #3
  2. GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology cs.CV · 2025 · author #2
  3. Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training quant-ph · 2024 · author #3
  4. SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology cs.CV · 2023 · author #2
  5. Hybrid quantum-classical graph neural networks for tumor classification in digital pathology quant-ph · 2023 · author #5
  6. Towards quantum-enabled cell-centric therapeutics quant-ph · 2023 · author #21
  7. Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains cs.CV · 2023 · author #3
  8. Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer eess.IV · 2023 · author #1
  9. Generative appearance replay for continual unsupervised domain adaptation cs.CV · 2023 · author #3
  10. Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images cs.CV · 2022 · author #3
  11. BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images q-bio.QM · 2021 · author #3
  12. HistoCartography: A Toolkit for Graph Analytics in Digital Pathology eess.IV · 2021 · author #2
  13. Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs cs.CV · 2021 · author #2
  14. Hierarchical Graph Representations in Digital Pathology cs.CV · 2021 · author #1
  15. Quantifying Explainers of Graph Neural Networks in Computational Pathology cs.CV · 2020 · author #2
  16. HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification cs.CV · 2020 · author #1
  17. Towards Explainable Graph Representations in Digital Pathology cs.CV · 2020 · author #2
  18. NINEPINS: Nuclei Instance Segmentation with Point Annotations eess.IV · 2020 · author #3
  19. Mitosis Detection Under Limited Annotation: A Joint Learning Approach cs.CV · 2020 · author #1

Mentions

  • 2506.08936 #3 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2504.01009 #2 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2401.02879 #3 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2312.15010 #2 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2310.11353 #5 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2307.05734 #21 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2301.01211 #3 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2302.01287 #3 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2301.02933 #1 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2204.12454 #3 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2111.04740 #3 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2107.10073 #2 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2011.12646 #2 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2102.11057 #1 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2103.03129 #2 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2006.09772 #1 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2007.00584 #1 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2007.00311 #2 · arxiv_oai · confidence 0.70 Pushpak Pati
  • 2006.13556 #3 · arxiv_oai · confidence 0.70 Pushpak Pati

Frequent Coauthors