11 citations · 15 across the 25 of their papers we have counts for
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Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation
Yumi Lee, Harim Oh, Hyoryung Kim +52
The rapid advancement of vision-language models (VLMs) has accelerated progress in computational pathology; however, whole-slide image (WSI)-based pathology report generation remai…
Pathologist Attention-Aligned Report Generation for Prostate Histopathology
Ruoyu Xue, Suryakant Singh, Souradeep Chakraborty +12
The allocation of visual attention by pathologists during cancer diagnosis is a highly selective process that critically shapes the information extracted from whole-slide images (W…
PathReportEval: A Systematic Benchmark for Pathology Report Generation
Suryakant Singh, Sejuti Majumder, Beatrice Knudsen +2
Pathology report generation from whole-slide images (WSIs) is a rapidly growing multimodal learning problem, yet progress is difficult to measure because existing studies use heter…
Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation
Suryakant Singh, Saarthak Kapse, Joel Saltz +1
Whole-slide pathology report generation requires models to integrate localized histomorphology, global tissue context, and diagnostically relevant semantic information, yet existin…
Gaze2Report: Radiology Report Generation via Visual-Gaze Prompt Tuning of LLMs
Aishik Konwer, Moinak Bhattacharya, Prateek Prasanna
Existing deep learning methods for radiology report generation enhance diagnostic efficiency but often overlook physician-informed medical priors. This leads to a suboptimal alignm…
Vessel-Aware Deep Learning for OCTA-Based Detection of AMD
Margalit G. Mitzner, Moinak Bhattacharya, Zhilin Zou +2
Age-related macular degeneration (AMD) is characterized by early micro-vascular alterations that can be captured non-invasively using optical coherence tomography angiography (OCTA…
Structure-Guided Histopathology Synthesis via Dual-LoRA Diffusion
Xuan Xu, Prateek Prasanna
Histopathology image synthesis plays an important role in tissue restoration, data augmentation, and modeling of tumor microenvironments. However, existing generative methods typic…