Prateek Prasanna

papers

283

total citations

papers (11)

RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification

ECCV 2022arXiv

citations

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

CVPR 2024arXiv

citations

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

ICCV 2023arXiv

citations

Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations

CVPR 2022arXiv

citations

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

CVPR 2025arXiv

citations

ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation

CVPR 2025arXiv

citations

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation

CVPR 2025arXiv

citations

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology

ICCV 2025arXiv

citations

Prateek Prasanna

papers (11)

Learning Topological Interactions for Multi-Class Medical Image Segmentation

Topology-Aware Uncertainty for Image Segmentation

Learned Representation-Guided Diffusion Models for Large-Image Generation

RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology

papers (11)

Learning Topological Interactions for Multi-Class Medical Image Segmentation

Topology-Aware Uncertainty for Image Segmentation

Learned Representation-Guided Diffusion Models for Large-Image Generation

RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology