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Prateek Prasanna

Identifiers

  • name variant Prateek Prasanna 0.60 · backfill

Papers (49)

  1. Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation cs.CV · 2026 · author #4
  2. Gaze2Report: Radiology Report Generation via Visual-Gaze Prompt Tuning of LLMs q-bio.TO · 2026 · author #3
  3. GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs cs.CV · 2025 · author #4
  4. ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer eess.IV · 2025 · author #6
  5. BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis eess.IV · 2025 · author #6
  6. GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology cs.CV · 2025 · author #8
  7. Pathology Image Compression with Pre-trained Autoencoders eess.IV · 2025 · author #7
  8. Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation cs.CV · 2025 · author #5
  9. TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model eess.IV · 2024 · author #7
  10. Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning cs.CV · 2024 · author #8
  11. ZoomLDM: Latent Diffusion Model for multi-scale image generation cs.CV · 2024 · author #4
  12. RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency eess.IV · 2024 · author #8
  13. TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs eess.IV · 2024 · author #10
  14. Hard Negative Sample Mining for Whole Slide Image Classification cs.CV · 2024 · author #4
  15. Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images eess.IV · 2024 · author #4
  16. RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models cs.CV · 2024 · author #4
  17. Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment eess.IV · 2024 · author #3
  18. SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology cs.CV · 2023 · author #10
  19. Learned representation-guided diffusion models for large-image generation cs.CV · 2023 · author #5
  20. Automated Assessment of Critical View of Safety in Laparoscopic Cholecystectomy cs.CV · 2023 · author #5
  21. Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning cs.CV · 2023 · author #7
  22. PathLDM: Text conditioned Latent Diffusion Model for Histopathology cs.CV · 2023 · author #3
  23. Learning to Segment from Noisy Annotations: A Spatial Correction Approach eess.IV · 2023 · author #5
  24. SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology eess.IV · 2023 · author #6
  25. Topology-Aware Uncertainty for Image Segmentation cs.CV · 2023 · author #4
  26. ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis cs.CV · 2023 · author #4
  27. Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning cs.CV · 2023 · author #4
  28. Token Sparsification for Faster Medical Image Segmentation cs.CV · 2023 · author #6
  29. Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation cs.CV · 2023 · author #6
  30. Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology cs.CV · 2022 · author #4
  31. Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers q-bio.QM · 2022 · author #2
  32. Learning Topological Interactions for Multi-Class Medical Image Segmentation cs.CV · 2022 · author #12
  33. Surgical Phase Recognition in Laparoscopic Cholecystectomy cs.CV · 2022 · author #3
  34. Federated Learning Enables Big Data for Rare Cancer Boundary Detection cs.LG · 2022 · author #235
  35. CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network cs.CV · 2022 · author #3
  36. Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation eess.IV · 2022 · author #6
  37. Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations eess.IV · 2022 · author #5
  38. RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification cs.CV · 2022 · author #3
  39. Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer eess.IV · 2022 · author #2
  40. Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs eess.IV · 2022 · author #8
  41. Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction eess.IV · 2021 · author #8
  42. Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms eess.IV · 2021 · author #8
  43. TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer q-bio.QM · 2021 · author #4
  44. Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma eess.IV · 2021 · author #2
  45. EventScore: An Automated Real-time Early Warning Score for Clinical Events cs.LG · 2021 · author #2
  46. Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study q-bio.QM · 2020 · author #13
  47. Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI q-bio.QM · 2020 · author #8
  48. Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study q-bio.QM · 2020 · author #6
  49. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #278

Mentions

  • 2508.09478 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2505.23675 #6 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2504.04532 #6 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2504.01009 #8 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2412.06011 #7 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2411.16969 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2503.11591 #7 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2503.04639 #5 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2412.01672 #8 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2411.03464 #10 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2410.02212 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2410.02012 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2410.00307 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2408.15218 #3 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2312.15010 #10 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2312.07330 #5 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2309.00748 #3 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2306.05671 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2303.12214 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2309.07330 #5 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2309.06439 #7 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2302.04308 #6 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2308.02498 #5 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2307.09570 #6 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2203.05573 #6 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2304.01053 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2212.12105 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2303.06522 #6 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2204.10836 #235 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2210.02273 #2 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2202.11781 #3 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2207.09654 #12 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2206.07198 #3 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2203.01933 #5 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2203.15078 #3 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2202.01857 #2 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2201.07344 #8 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2107.08330 #8 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2107.06276 #8 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2007.08028 #13 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2105.06049 #4 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2103.07423 #2 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2102.05958 #2 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2006.09878 #8 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2006.09483 #6 · arxiv_oai · confidence 0.70 Prateek Prasanna
  • 2411.15076 #8 · arxiv_oai · confidence 0.70 Prateek Prasanna

Frequent Coauthors