{"total":16,"rows":[{"id":"2201.02831","title":"CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation","created":"2022-01-08","cited_by_count":58,"area":null},{"id":"2108.12043","title":"Learning Disentangled Representations in the Imaging Domain","created":"2021-08-26","cited_by_count":46,"area":null},{"id":"2308.01265","title":"Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives","created":"2023-07-18","cited_by_count":24,"area":null},{"id":"2107.11945","title":"A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation","created":"2021-07-26","cited_by_count":15,"area":null},{"id":"2311.02332","title":"Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects","created":"2023-11-04","cited_by_count":15,"area":null},{"id":"2107.08751","title":"Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation","created":"2021-07-19","cited_by_count":14,"area":null},{"id":"2205.11096","title":"FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation","created":"2022-05-23","cited_by_count":12,"area":null},{"id":"2109.09738","title":"An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities","created":"2021-09-20","cited_by_count":10,"area":null},{"id":"2305.14404","title":"Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI","created":"2023-05-23","cited_by_count":5,"area":null},{"id":"2411.05824","title":"Navigating Distribution Shifts in Medical Image Analysis: A Survey","created":"2024-11-05","cited_by_count":5,"area":null},{"id":"2302.03296","title":"Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation","created":"2023-02-07","cited_by_count":2,"area":null},{"id":"2407.02911","title":"Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI","created":"2024-07-03","cited_by_count":2,"area":null},{"id":"2203.14025","title":"Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation","created":"2022-03-26","cited_by_count":1,"area":null},{"id":"2307.00245","title":"Deep Angiogram: Trivializing Retinal Vessel Segmentation","created":"2023-07-01","cited_by_count":1,"area":null},{"id":"2502.17029","title":"M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation","created":"2025-02-24","cited_by_count":1,"area":null},{"id":"2512.24674","title":"An Adaptive, Disentangled Representation for Multidimensional MRI Reconstruction","created":"2025-12-31","cited_by_count":1,"area":null}],"next_cursor":null}