{"total":25,"rows":[{"id":"2201.09873","title":"Transformers in Medical Imaging: A Survey","created":"2022-01-24","cited_by_count":245,"area":null},{"id":"2202.12165","title":"Transformers in Medical Image Analysis: A Review","created":"2022-02-24","cited_by_count":41,"area":null},{"id":"2312.00634","title":"A Recent Survey of Vision Transformers for Medical Image Segmentation","created":"2023-12-01","cited_by_count":23,"area":null},{"id":"2312.16151","title":"Large-scale Long-tailed Disease Diagnosis on Radiology Images","created":"2023-12-26","cited_by_count":17,"area":null},{"id":"2204.12406","title":"A survey on attention mechanisms for medical applications: are we moving towards better algorithms?","created":"2022-04-26","cited_by_count":15,"area":null},{"id":"2205.08390","title":"HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images","created":"2022-05-17","cited_by_count":15,"area":null},{"id":"2403.03385","title":"Multi-modal Deep Learning","created":"2024-03-06","cited_by_count":15,"area":null},{"id":"2404.11525","title":"JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA","created":"2024-04-17","cited_by_count":12,"area":null},{"id":"2211.10043","title":"Vision Transformers in Medical Imaging: A Review","created":"2022-11-18","cited_by_count":8,"area":null},{"id":"2211.14557","title":"CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors","created":"2022-11-26","cited_by_count":7,"area":null},{"id":"2309.00252","title":"Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care","created":"2023-09-01","cited_by_count":4,"area":null},{"id":"2301.09007","title":"MultiNet with Transformers: A Model for Cancer Diagnosis Using Images","created":"2023-01-21","cited_by_count":3,"area":null},{"id":"2401.06349","title":"ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers","created":"2024-01-12","cited_by_count":3,"area":null},{"id":"2206.13385","title":"3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography","created":"2022-06-18","cited_by_count":2,"area":null},{"id":"2211.12322","title":"Computer Vision for Transit Travel Time Prediction: An End-to-End Framework Using Roadside Urban Imagery","created":"2022-11-22","cited_by_count":2,"area":null},{"id":"2309.01740","title":"An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2309.02783","title":"Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review","created":"2023-09-06","cited_by_count":2,"area":null},{"id":"2110.08721","title":"CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans","created":"2021-10-17","cited_by_count":1,"area":null},{"id":"2210.15297","title":"Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction","created":"2022-10-27","cited_by_count":1,"area":null},{"id":"2306.05297","title":"Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis","created":"2023-06-08","cited_by_count":1,"area":null},{"id":"2508.04429","title":"Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2602.14615","title":"VariViT: A Vision Transformer for Variable Image Sizes","created":"2026-02-16","cited_by_count":1,"area":null},{"id":"2208.04613","title":"Res-Dense Net for 3D Covid Chest CT-scan classification","created":"2022-08-09","cited_by_count":0,"area":null},{"id":"2306.06914","title":"Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images","created":"2023-06-12","cited_by_count":0,"area":null},{"id":"2312.03490","title":"PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis","created":"2023-12-06","cited_by_count":0,"area":null}],"next_cursor":null}