{"total":17,"rows":[{"id":"2307.13125","title":"Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review","created":"2023-07-24","cited_by_count":48,"area":null},{"id":"2112.12596","title":"Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review","created":"2021-12-21","cited_by_count":30,"area":null},{"id":"2406.00329","title":"Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images","created":"2024-06-01","cited_by_count":9,"area":null},{"id":"2303.09171","title":"Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations","created":"2023-03-16","cited_by_count":5,"area":null},{"id":"2210.05952","title":"3D Brain and Heart Volume Generative Models: A Survey","created":"2022-10-12","cited_by_count":4,"area":null},{"id":"2108.09440","title":"Unsupervised Local Discrimination for Medical Images","created":"2021-08-21","cited_by_count":3,"area":null},{"id":"2406.11659","title":"Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes","created":"2024-06-17","cited_by_count":3,"area":null},{"id":"2106.10947","title":"Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions","created":"2021-06-21","cited_by_count":2,"area":null},{"id":"2211.05622","title":"InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration","created":"2022-11-10","cited_by_count":2,"area":null},{"id":"2311.10472","title":"End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks","created":"2023-11-17","cited_by_count":2,"area":null},{"id":"2212.08821","title":"Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants","created":"2022-12-17","cited_by_count":1,"area":null},{"id":"2508.02307","title":"Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2210.17269","title":"Scoliosis Detection using Deep Neural Network","created":"2022-10-31","cited_by_count":0,"area":null},{"id":"2308.08038","title":"Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views","created":"2023-08-15","cited_by_count":0,"area":null},{"id":"2411.11190","title":"DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images","created":"2024-11-17","cited_by_count":0,"area":null},{"id":"2606.26718","title":"A Latent ODE Approach to Spatiotemporal Modeling of Cine Cardiac MRI","created":"2026-06-25","cited_by_count":0,"area":null},{"id":"2608.19932","title":"A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model","created":"2026-08-20","cited_by_count":0,"area":null}],"next_cursor":null}