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TitleStatusHype
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational PathologyCode2
Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web—0
Efficient Classification of Histopathology Images—0
A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology—0
End-to-end Multi-source Visual Prompt Tuning for Survival Analysis in Whole Slide Images—0
Tissue Concepts: supervised foundation models in computational pathologyCode2
Explainable AI for computational pathology identifies model limitations and tissue biomarkersCode1
Pediatric brain tumor classification using digital histopathology and deep learning: evaluation of SOTA methods on a multi-center Swedish cohort—0
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide imagesCode0
Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities—0
Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment—0
Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational PathologyCode1
Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection—0
HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning—0
Whole Slide Image Classification of Salivary Gland Tumours—0
MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt TuningCode1
Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images—0
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions—0
HistoGym: A Reinforcement Learning Environment for Histopathological Image AnalysisCode0
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts—0
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyCode0
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive ModellingCode0
Multistain Pretraining for Slide Representation Learning in PathologyCode2
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image ClassificationCode0
PreMix: Addressing Label Scarcity in Whole Slide Image Classification with Pre-trained Multiple Instance Learning Aggregators—0
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology—0
Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling—0
CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images—0
EXAONEPath 1.0 Patch-level Foundation Model for PathologyCode1
MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images—0
Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images—0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention—0
Towards A Generalizable Pathology Foundation Model via Unified Knowledge DistillationCode2
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer SubtypingCode0
Contextual unsupervised deep clustering in digital pathologyCode1
M4: Multi-Proxy Multi-Gate Mixture of Experts Network for Multiple Instance Learning in Histopathology Image AnalysisCode1
A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation ModelCode2
Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images—0
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learningCode1
URCDM: Ultra-Resolution Image Synthesis in HistopathologyCode0
OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides—0
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model—0
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification—0
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype ClassificationCode1
Multimodal contrastive learning for spatial gene expression prediction using histology imagesCode1
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data PerspectiveCode1
FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image ClassificationCode0
Leveraging image captions for selective whole slide image annotationCode0
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question AnsweringCode2
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization—0
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