{"total":13,"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":"2209.08256","title":"Can segmentation models be trained with fully synthetically generated data?","created":"2022-09-17","cited_by_count":37,"area":null},{"id":"2201.07646","title":"A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis","created":"2022-01-19","cited_by_count":24,"area":null},{"id":"2107.02970","title":"GAN-based Data Augmentation for Chest X-ray Classification","created":"2021-07-07","cited_by_count":18,"area":null},{"id":"2107.09543","title":"Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging","created":"2021-07-20","cited_by_count":15,"area":null},{"id":"2104.10993","title":"METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy","created":"2021-04-22","cited_by_count":9,"area":null},{"id":"2310.00277","title":"A Unified Framework for Generative Data Augmentation: A Comprehensive Survey","created":"2023-09-30","cited_by_count":4,"area":null},{"id":"2311.04552","title":"A 3D generative model of pathological multi-modal MR images and segmentations","created":"2023-11-08","cited_by_count":4,"area":null},{"id":"2203.00624","title":"A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning","created":"2022-03-01","cited_by_count":1,"area":null},{"id":"2208.03288","title":"Convolutional Ensembling based Few-Shot Defect Detection Technique","created":"2022-08-05","cited_by_count":1,"area":null},{"id":"2212.01577","title":"A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images","created":"2022-12-03","cited_by_count":1,"area":null},{"id":"2410.05114","title":"Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization","created":"2024-10-07","cited_by_count":1,"area":null},{"id":"2210.16053","title":"Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias","created":"2022-10-28","cited_by_count":0,"area":null}],"next_cursor":null}