{"total":52,"rows":[{"id":"2101.05224","title":"Big Self-Supervised Models Advance Medical Image Classification","created":"2021-01-13","cited_by_count":320,"area":null},{"id":"2105.13381","title":"Recent advances and clinical applications of deep learning in medical image analysis","created":"2021-05-27","cited_by_count":104,"area":null},{"id":"2503.18968","title":"MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow","created":"2025-03-21","cited_by_count":73,"area":"lr"},{"id":"2203.01475","title":"CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision","created":"2022-03-03","cited_by_count":64,"area":null},{"id":"2109.04379","title":"Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts","created":"2021-09-09","cited_by_count":60,"area":null},{"id":"2203.02533","title":"BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation","created":"2022-03-04","cited_by_count":54,"area":null},{"id":"2106.08600","title":"Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching","created":"2021-06-16","cited_by_count":42,"area":null},{"id":"2205.09723","title":"Robust and Efficient Medical Imaging with Self-Supervision","created":"2022-05-19","cited_by_count":40,"area":null},{"id":"2312.07353","title":"CLIP in Medical Imaging: A Survey","created":"2023-12-12","cited_by_count":40,"area":null},{"id":"2106.07085","title":"Survey: Image Mixing and Deleting for Data Augmentation","created":"2021-06-13","cited_by_count":26,"area":null},{"id":"2104.03225","title":"Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images","created":"2021-04-07","cited_by_count":22,"area":null},{"id":"2106.01544","title":"SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation","created":"2021-06-03","cited_by_count":19,"area":null},{"id":"2111.00928","title":"Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification","created":"2021-11-01","cited_by_count":18,"area":null},{"id":"2106.06326","title":"TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation","created":"2021-06-11","cited_by_count":17,"area":null},{"id":"2108.08467","title":"Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey","created":"2021-08-19","cited_by_count":16,"area":null},{"id":"2212.01893","title":"Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering","created":"2022-12-04","cited_by_count":16,"area":null},{"id":"2303.12484","title":"Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions","created":"2023-03-22","cited_by_count":16,"area":null},{"id":"2404.01819","title":"Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection","created":"2024-04-02","cited_by_count":13,"area":null},{"id":"2104.05215","title":"SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching","created":"2021-04-12","cited_by_count":12,"area":null},{"id":"2309.15575","title":"Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation","created":"2023-09-27","cited_by_count":9,"area":null},{"id":"2108.12961","title":"BioFors: A Large Biomedical Image Forensics Dataset","created":"2021-08-30","cited_by_count":8,"area":null},{"id":"2203.01933","title":"Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations","created":"2022-03-02","cited_by_count":8,"area":null},{"id":"2301.04882","title":"ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation","created":"2023-01-12","cited_by_count":8,"area":null},{"id":"2105.14773","title":"Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction","created":"2021-05-31","cited_by_count":7,"area":null},{"id":"2310.06557","title":"Data efficient deep learning for medical image analysis: A survey","created":"2023-10-10","cited_by_count":6,"area":null},{"id":"2104.03218","title":"OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays","created":"2021-04-07","cited_by_count":5,"area":null},{"id":"2108.04423","title":"Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean","created":"2021-08-10","cited_by_count":5,"area":null},{"id":"2207.01842","title":"ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans","created":"2022-07-05","cited_by_count":5,"area":null},{"id":"2306.10490","title":"Rapid Image Labeling via Neuro-Symbolic Learning","created":"2023-06-18","cited_by_count":4,"area":null},{"id":"2312.07969","title":"ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation","created":"2023-12-13","cited_by_count":4,"area":null},{"id":"2106.15064","title":"GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference","created":"2021-06-29","cited_by_count":3,"area":null},{"id":"2110.10332","title":"AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics","created":"2021-10-20","cited_by_count":2,"area":null},{"id":"2305.05871","title":"Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification","created":"2023-05-10","cited_by_count":2,"area":null},{"id":"2308.12584","title":"LORD: Leveraging Open-Set Recognition with Unknown Data","created":"2023-08-24","cited_by_count":2,"area":null},{"id":"2401.06923","title":"Minimally Supervised Learning using Topological Projections in Self-Organizing Maps","created":"2024-01-12","cited_by_count":2,"area":null},{"id":"2606.15647","title":"Towards Next-Generation Healthcare: A Survey of Medical Embodied AI for Perception, Decision-Making, and Action","created":"2026-04-05","cited_by_count":2,"area":null},{"id":"2103.12972","title":"Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data","created":"2021-03-24","cited_by_count":1,"area":null},{"id":"2306.13301","title":"Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images","created":"2023-06-23","cited_by_count":1,"area":null},{"id":"2307.12033","title":"Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data","created":"2023-07-22","cited_by_count":1,"area":null},{"id":"2105.14117","title":"About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations","created":"2021-05-28","cited_by_count":0,"area":null},{"id":"2112.03276","title":"Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning","created":"2021-12-06","cited_by_count":0,"area":null},{"id":"2204.11227","title":"Lesion Localization in OCT by Semi-Supervised Object Detection","created":"2022-04-24","cited_by_count":0,"area":null},{"id":"2211.09929","title":"Contrastive Credibility Propagation for Reliable Semi-Supervised Learning","created":"2022-11-17","cited_by_count":0,"area":null},{"id":"2211.11188","title":"Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision","created":"2022-11-21","cited_by_count":0,"area":null},{"id":"2212.12303","title":"Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge","created":"2022-12-23","cited_by_count":0,"area":null},{"id":"2212.14747","title":"VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume","created":"2022-12-28","cited_by_count":0,"area":null},{"id":"2503.07933","title":"From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2504.00149","title":"Towards Precise Action Spotting: Addressing Temporal Misalignment in Labels with Dynamic Label Assignment","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2504.11588","title":"Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2512.05992","title":"Stronger is not better: Better Augmentations in Contrastive Learning for Medical Image Segmentation","created":"2025-11-30","cited_by_count":0,"area":null},{"id":"2605.06266","title":"ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2606.25216","title":"Homomorphic Encryptions for Privacy Preserving Vision","created":"2026-06-23","cited_by_count":0,"area":null}],"next_cursor":null}