{"total":17,"rows":[{"id":"2103.05115","title":"Deep reinforcement learning in medical imaging: A literature review","created":"2021-03-05","cited_by_count":34,"area":null},{"id":"2207.13249","title":"AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation","created":"2022-07-27","cited_by_count":18,"area":null},{"id":"2112.11065","title":"Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation","created":"2021-12-21","cited_by_count":16,"area":null},{"id":"2204.11797","title":"PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution","created":"2022-04-25","cited_by_count":16,"area":null},{"id":"2206.14302","title":"Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions","created":"2022-06-28","cited_by_count":16,"area":null},{"id":"2403.07939","title":"Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification","created":"2024-03-09","cited_by_count":12,"area":null},{"id":"2111.07535","title":"T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging","created":"2021-11-15","cited_by_count":11,"area":null},{"id":"2103.16493","title":"Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training","created":"2021-03-30","cited_by_count":10,"area":null},{"id":"2102.07615","title":"Learning image quality assessment by reinforcing task amenable data selection","created":"2021-02-15","cited_by_count":5,"area":null},{"id":"2306.17466","title":"MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis","created":"2023-06-30","cited_by_count":4,"area":null},{"id":"2305.19084","title":"Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation","created":"2023-05-30","cited_by_count":3,"area":null},{"id":"2407.09189","title":"Segmenting Medical Images with Limited Data","created":"2024-07-12","cited_by_count":3,"area":null},{"id":"2505.16561","title":"Auto-nnU-Net: Towards Automated Medical Image Segmentation","created":"2025-05-22","cited_by_count":3,"area":null},{"id":"2107.05471","title":"The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation","created":"2021-07-12","cited_by_count":2,"area":null},{"id":"2412.13156","title":"S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging","created":"2024-12-17","cited_by_count":2,"area":null},{"id":"2305.15777","title":"Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation","created":"2023-05-25","cited_by_count":0,"area":null},{"id":"2610.18133","title":"Human-Inspired Asymmetric Collaboration for Dual-Student Semi-Supervised Medical Image Segmentation","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}