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Showing 501–550 of 745 papers

TitleStatusHype
Representation Learning of Histopathology Images using Graph Neural Networks—0
Representing Whole Slide Cancer Image Features with Hilbert Curves—0
Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks—0
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology—0
Robust Histopathology Image Analysis: To Label or to Synthesize?—0
Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder—0
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring—0
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles—0
RudolfV: A Foundation Model by Pathologists for Pathologists—0
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images—0
Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation—0
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images—0
Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images—0
Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs)—0
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data—0
Selecting Regions of Interest in Large Multi-Scale Images for Cancer Pathology—0
Selection of Distinct Morphologies to Divide & Conquer Gigapixel Pathology Images—0
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification—0
Self-similarity Student for Partial Label Histopathology Image Segmentation—0
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime—0
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading—0
Self-Supervised Similarity Learning for Digital Pathology—0
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology—0
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images—0
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema—0
Simple and Efficient Confidence Score for Grading Whole Slide Images—0
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis—0
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding—0
Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning—0
SPLICE -- Streamlining Digital Pathology Image Processing—0
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures—0
Strategies for Training Stain Invariant CNNs—0
Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology—0
Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images—0
Survival Prediction Across Diverse Cancer Types Using Neural Networks—0
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction—0
Switching Loss for Generalized Nucleus Detection in Histopathology—0
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology—0
The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology—0
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines—0
Tissue Artifact Segmentation and Severity Analysis for Automated Diagnosis Using Whole Slide Images—0
An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution—0
Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images—0
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach—0
Spectral decoupling allows training transferable neural networks in medical imaging—0
Transformer-based Model for Oral Epithelial Dysplasia Segmentation—0
Transformer-Based Self-Supervised Learning for Histopathological Classification of Ischemic Stroke Clot Origin—0
Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling—0
TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology—0
Tumor segmentation on whole slide images: training or prompting?—0
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