{"total":25,"rows":[{"id":"2401.06148","title":"Artificial Intelligence for Digital and Computational Pathology","created":"2023-12-13","cited_by_count":108,"area":null},{"id":"2306.05980","title":"Federated Learning for Medical Image Analysis: A Survey","created":"2023-06-09","cited_by_count":78,"area":null},{"id":"2106.13150","title":"Comparison of Consecutive and Re-stained Sections for Image Registration in Histopathology","created":"2021-06-24","cited_by_count":12,"area":null},{"id":"2209.14849","title":"Federated Stain Normalization for Computational Pathology","created":"2022-09-29","cited_by_count":11,"area":null},{"id":"2108.13904","title":"Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia","created":"2021-08-31","cited_by_count":8,"area":null},{"id":"2409.03519","title":"Tissue Concepts: supervised foundation models in computational pathology","created":"2024-09-05","cited_by_count":8,"area":null},{"id":"2303.08140","title":"Digital staining in optical microscopy using deep learning -- a review","created":"2023-03-14","cited_by_count":7,"area":null},{"id":"2309.00688","title":"Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning","created":"2023-09-01","cited_by_count":5,"area":null},{"id":"2103.17171","title":"Spectral decoupling allows training transferable neural networks in medical imaging","created":"2021-03-31","cited_by_count":4,"area":null},{"id":"2508.06993","title":"OctreeNCA: Single-Pass 184 MP Segmentation on Consumer Hardware","created":"2025-08-09","cited_by_count":4,"area":null},{"id":"2206.01728","title":"A review of machine learning approaches, challenges and prospects for computational tumor pathology","created":"2022-05-31","cited_by_count":3,"area":null},{"id":"2307.03757","title":"A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia","created":"2023-07-06","cited_by_count":3,"area":null},{"id":"2205.10373","title":"A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels","created":"2022-05-20","cited_by_count":2,"area":null},{"id":"2206.08308","title":"Deepfake histological images for enhancing digital pathology","created":"2022-06-16","cited_by_count":1,"area":null},{"id":"2211.00646","title":"Learning Melanocytic Cell Masks from Adjacent Stained Tissue","created":"2022-11-01","cited_by_count":1,"area":null},{"id":"2406.19899","title":"On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images","created":"2024-06-28","cited_by_count":1,"area":null},{"id":"2507.05742","title":"Whole Slide Concepts: A Supervised Foundation Model For Pathological Images","created":"2025-07-08","cited_by_count":1,"area":null},{"id":"2606.12346","title":"Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy","created":"2026-06-10","cited_by_count":1,"area":null},{"id":"2209.13408","title":"A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology","created":"2022-09-27","cited_by_count":0,"area":null},{"id":"2302.01813","title":"Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides","created":"2023-02-03","cited_by_count":0,"area":null},{"id":"2304.12423","title":"Composite Biomarker Image for Advanced Visualization in Histopathology","created":"2023-04-24","cited_by_count":0,"area":null},{"id":"2311.08949","title":"Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard","created":"2023-11-15","cited_by_count":0,"area":null},{"id":"2311.13261","title":"Immunohistochemistry guided segmentation of benign epithelial cells, in situ lesions, and invasive epithelial cells in breast cancer slides","created":"2023-11-22","cited_by_count":0,"area":null},{"id":"2504.00979","title":"Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2608.16268","title":"CoM$^3$eT: A foundation model for medical image analysis through federated, multidimensional context integration","created":"2026-08-17","cited_by_count":0,"area":null}],"next_cursor":null}