{"total":37,"rows":[{"id":"2401.06148","title":"Artificial Intelligence for Digital and Computational Pathology","created":"2023-12-13","cited_by_count":108,"area":null},{"id":"2108.11195","title":"Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification","created":"2021-08-25","cited_by_count":89,"area":null},{"id":"2102.11057","title":"Hierarchical Graph Representations in Digital Pathology","created":"2021-02-22","cited_by_count":59,"area":null},{"id":"2204.12454","title":"Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images","created":"2022-04-26","cited_by_count":43,"area":null},{"id":"2107.00272","title":"A Survey on Graph-Based Deep Learning for Computational Histopathology","created":"2021-07-01","cited_by_count":41,"area":null},{"id":"2203.00077","title":"One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification","created":"2022-02-28","cited_by_count":38,"area":null},{"id":"2303.06274","title":"CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting","created":"2023-03-11","cited_by_count":33,"area":null},{"id":"2103.03129","title":"Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs","created":"2021-03-04","cited_by_count":22,"area":null},{"id":"2203.15269","title":"Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection","created":"2022-03-29","cited_by_count":22,"area":null},{"id":"2107.10073","title":"HistoCartography: A Toolkit for Graph Analytics in Digital Pathology","created":"2021-07-21","cited_by_count":20,"area":null},{"id":"2211.01256","title":"An Aggregation of Aggregation Methods in Computational Pathology","created":"2022-11-02","cited_by_count":20,"area":null},{"id":"2209.00729","title":"HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images","created":"2022-09-01","cited_by_count":17,"area":null},{"id":"2404.09942","title":"Knowledge-enhanced Visual-Language Pretraining for Computational Pathology","created":"2024-04-15","cited_by_count":14,"area":null},{"id":"2406.11026","title":"Boosting Medical Image Classification with Segmentation Foundation Model","created":"2024-06-16","cited_by_count":8,"area":null},{"id":"2111.13230","title":"FedDropoutAvg: Generalizable federated learning for histopathology image classification","created":"2021-11-25","cited_by_count":7,"area":null},{"id":"2106.15299","title":"Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification","created":"2021-06-29","cited_by_count":5,"area":null},{"id":"2107.00934","title":"Hybrid Supervision Learning for Pathology Whole Slide Image Classification","created":"2021-07-02","cited_by_count":5,"area":null},{"id":"2209.02412","title":"SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis","created":"2022-09-02","cited_by_count":5,"area":null},{"id":"2104.12862","title":"A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma","created":"2021-04-16","cited_by_count":3,"area":null},{"id":"2106.02864","title":"An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification","created":"2021-06-05","cited_by_count":3,"area":null},{"id":"2102.07611","title":"Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings","created":"2021-02-15","cited_by_count":2,"area":null},{"id":"2104.00669","title":"Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis","created":"2021-04-01","cited_by_count":2,"area":null},{"id":"2112.09496","title":"Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits","created":"2021-12-17","cited_by_count":2,"area":null},{"id":"2312.02015","title":"ColonNeRF: High-Fidelity Neural Reconstruction of Long Colonoscopy","created":"2023-12-04","cited_by_count":2,"area":null},{"id":"2508.01574","title":"TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification","created":"2025-08-03","cited_by_count":2,"area":null},{"id":"2108.08895","title":"Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data","created":"2021-08-19","cited_by_count":1,"area":null},{"id":"2207.02574","title":"Is the U-Net Directional-Relationship Aware?","created":"2022-07-06","cited_by_count":1,"area":null},{"id":"2307.13947","title":"Centroid-aware feature recalibration for cancer grading in pathology images","created":"2023-07-26","cited_by_count":1,"area":null},{"id":"2408.08847","title":"HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis","created":"2024-08-16","cited_by_count":1,"area":null},{"id":"2411.17073","title":"Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering","created":"2024-11-26","cited_by_count":1,"area":null},{"id":"2606.20161","title":"ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2203.00449","title":"Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer","created":"2022-02-24","cited_by_count":0,"area":null},{"id":"2301.09525","title":"DeepFEL: Deep Fastfood Ensemble Learning for Histopathology Image Analysis","created":"2023-01-23","cited_by_count":0,"area":null},{"id":"2302.10406","title":"Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines","created":"2023-02-21","cited_by_count":0,"area":null},{"id":"2305.01968","title":"DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture","created":"2023-05-03","cited_by_count":0,"area":null},{"id":"2403.04962","title":"C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading","created":"2024-03-08","cited_by_count":0,"area":null},{"id":"2503.05170","title":"Leveraging Spatial Context for Positive Pair Sampling in Histopathology Image Representation Learning","created":"2025-03-07","cited_by_count":0,"area":null}],"next_cursor":null}