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TitleStatusHype
ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images—0
TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology—0
Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network—0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Identifying regions of interest in whole slide images of renal cell carcinoma—0
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides—0
A Novel Approach to Linking Histology Images with DNA Methylation—0
A Survey of Pathology Foundation Model: Progress and Future DirectionsCode1
Learned Image Compression and Restoration for Digital PathologyCode0
MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning—0
The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology—0
UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift—0
Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology—0
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic ReconstructionCode0
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology—0
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression—0
PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological ImagesCode0
Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in HistopathologyCode0
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology—0
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image ClassificationCode0
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction—0
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image AnalysisCode0
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning—0
Pathology Image Compression with Pre-trained Autoencoders—0
Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoderCode1
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