{"total":46,"rows":[{"id":"2506.09022","title":"Do Multiple Instance Learning Models Transfer?","created":"2025-06-10","cited_by_count":29,"area":null},{"id":"2504.04045","title":"A Survey of Pathology Foundation Model: Progress and Future Directions","created":"2025-04-05","cited_by_count":16,"area":null},{"id":"2503.09091","title":"Multi-Modal Foundation Models for Computational Pathology: A Survey","created":"2025-03-12","cited_by_count":9,"area":null},{"id":"2502.04946","title":"SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers","created":"2025-02-07","cited_by_count":8,"area":null},{"id":"2504.01009","title":"GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology","created":"2025-04-01","cited_by_count":8,"area":null},{"id":"2506.09095","title":"Foundation Models in Medical Imaging: A Review and Outlook","created":"2025-06-10","cited_by_count":8,"area":null},{"id":"2506.13063","title":"PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue","created":"2025-06-16","cited_by_count":8,"area":null},{"id":"2508.01490","title":"A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics","created":"2025-08-02","cited_by_count":8,"area":null},{"id":"2512.21331","title":"TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning","created":"2025-12-24","cited_by_count":6,"area":null},{"id":"2510.27237","title":"Fusion of Multi-scale Heterogeneous Pathology Foundation Models for Whole Slide Image Analysis","created":"2025-10-31","cited_by_count":5,"area":null},{"id":"2503.02824","title":"Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging","created":"2025-03-04","cited_by_count":4,"area":null},{"id":"2508.01602","title":"Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment","created":"2025-08-03","cited_by_count":4,"area":null},{"id":"2508.16085","title":"Ensemble learning of pathology foundation models for precision oncology","created":"2025-08-22","cited_by_count":4,"area":null},{"id":"2502.20823","title":"Can We Simplify Slide-level Fine-tuning of Pathology Foundation Models?","created":"2025-02-28","cited_by_count":3,"area":null},{"id":"2503.00374","title":"MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention","created":"2025-03-01","cited_by_count":3,"area":null},{"id":"2603.27048","title":"MOOZY: A Patient-First Foundation Model for Computational Pathology","created":"2026-03-27","cited_by_count":3,"area":null},{"id":"2503.17564","title":"ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology","created":"2025-03-21","cited_by_count":2,"area":null},{"id":"2507.08711","title":"SGPMIL: Sparse Gaussian Process Multiple Instance Learning","created":"2025-07-11","cited_by_count":2,"area":null},{"id":"2508.16742","title":"Learning the Language of Histopathology Images reveals Prognostic Subgroups in Invasive Lung Adenocarcinoma Patients","created":"2025-08-22","cited_by_count":2,"area":null},{"id":"2512.14019","title":"EXAONE Path 2.5: Pathology Foundation Model with Multi-Omics Alignment","created":"2025-12-16","cited_by_count":2,"area":null},{"id":"2502.19217","title":"A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2510.14800","title":"Morphology-Aware Prognostic model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole Slide Images","created":"2025-10-16","cited_by_count":1,"area":null},{"id":"2511.14907","title":"nnMIL: A generalizable multiple instance learning framework for computational pathology","created":"2025-11-18","cited_by_count":1,"area":null},{"id":"2603.01547","title":"PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2604.21060","title":"Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images","created":"2026-04-22","cited_by_count":1,"area":null},{"id":"2606.12126","title":"AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2501.17822","title":"Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology","created":"2025-01-29","cited_by_count":0,"area":null},{"id":"2505.24141","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","created":"2025-05-30","cited_by_count":0,"area":null},{"id":"2508.00969","title":"Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles","created":"2025-08-01","cited_by_count":0,"area":null},{"id":"2508.01352","title":"Predicting EGFR Mutation in LUAD from Histopathological Whole-Slide Images Using Pretrained Foundation Model and Transfer Learning: An Indian Cohort Study","created":"2025-08-02","cited_by_count":0,"area":null},{"id":"2508.21581","title":"Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2511.11452","title":"Synergy vs. Noise: Performance-Guided Multimodal Fusion For Biochemical Recurrence-Free Survival in Prostate Cancer","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2511.21937","title":"Interpretable Multimodal Cancer Prototyping with Whole Slide Images and Incompletely Paired Genomics","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2512.14540","title":"CAPRMIL: Context-Aware Patch Representations for Multiple Instance Learning","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2603.25802","title":"LEMON: a foundation model for nuclear morphology in Computational Pathology","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2605.16571","title":"Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.29980","title":"Genetically Aligned Patient Representations Improve Hematological Diagnosis","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2605.31504","title":"When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.10778","title":"From Patches to Patients: A study of the tile-to-slide performance transferability in Digital Pathology","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.28697","title":"Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2606.29949","title":"Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2608.24688","title":"A Multimodal Foundation Model for Longitudinal Patient Representation and Scalable Insight Generation in Oncology","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.33178","title":"Can Protein-Derived Knowledge Improve Pathology Foundation Models?","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.38560","title":"Detail in Context: A Dual-Scale Machine Learning Framework for Mycosis Fungoides Detection","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.03693","title":"Transcriptome-informed multi-modal AI for predicting neoadjuvant therapy response from breast cancer biopsies","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.12574","title":"Scaling Multi-Teacher Distillation for Digital Pathology","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}