{"total":119,"rows":[{"id":"2102.09508","title":"Domain Adaptation for Medical Image Analysis: A Survey","created":"2021-02-18","cited_by_count":352,"area":null},{"id":"2107.09559","title":"SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining","created":"2021-07-20","cited_by_count":237,"area":null},{"id":"2208.07422","title":"Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives","created":"2022-08-15","cited_by_count":98,"area":null},{"id":"2110.06465","title":"Breaking the Dilemma of Medical Image-to-image Translation","created":"2021-10-13","cited_by_count":82,"area":null},{"id":"2209.02032","title":"Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets","created":"2022-09-05","cited_by_count":51,"area":null},{"id":"2211.14805","title":"Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation","created":"2022-11-27","cited_by_count":45,"area":null},{"id":"2103.05254","title":"MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation","created":"2021-03-09","cited_by_count":43,"area":null},{"id":"2101.06853","title":"Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation","created":"2021-01-18","cited_by_count":39,"area":null},{"id":"2106.12497","title":"Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation","created":"2021-06-23","cited_by_count":39,"area":null},{"id":"2310.11320","title":"Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation","created":"2023-10-17","cited_by_count":35,"area":null},{"id":"2106.06908","title":"Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation","created":"2021-06-13","cited_by_count":33,"area":null},{"id":"2212.02078","title":"LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation","created":"2022-12-05","cited_by_count":27,"area":null},{"id":"2303.09373","title":"MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling","created":"2023-03-16","cited_by_count":25,"area":null},{"id":"2203.12454","title":"MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels","created":"2022-03-23","cited_by_count":24,"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":"2111.12221","title":"Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation","created":"2021-11-24","cited_by_count":23,"area":null},{"id":"2304.13672","title":"FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation","created":"2023-04-26","cited_by_count":21,"area":null},{"id":"2309.10244","title":"UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation","created":"2023-09-19","cited_by_count":21,"area":null},{"id":"2103.08454","title":"Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation","created":"2021-03-15","cited_by_count":20,"area":null},{"id":"2203.16557","title":"COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training","created":"2022-03-30","cited_by_count":20,"area":null},{"id":"2206.02288","title":"ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training","created":"2022-06-05","cited_by_count":20,"area":null},{"id":"2208.12881","title":"Multi-Modality Cardiac Image Computing: A Survey","created":"2022-08-26","cited_by_count":19,"area":null},{"id":"2111.10250","title":"Panoptic Segmentation: A Review","created":"2021-11-19","cited_by_count":18,"area":null},{"id":"2208.08605","title":"Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures","created":"2022-08-18","cited_by_count":18,"area":null},{"id":"2204.00154","title":"An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection","created":"2022-04-01","cited_by_count":17,"area":null},{"id":"2203.10332","title":"Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation","created":"2022-03-19","cited_by_count":16,"area":null},{"id":"2208.03901","title":"Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration","created":"2022-08-08","cited_by_count":16,"area":null},{"id":"2209.07910","title":"Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation","created":"2022-09-16","cited_by_count":15,"area":null},{"id":"2406.01264","title":"FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis","created":"2024-06-03","cited_by_count":15,"area":null},{"id":"2104.01325","title":"DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images","created":"2021-04-03","cited_by_count":14,"area":null},{"id":"2204.03163","title":"Low-Dose CT Denoising via Sinogram Inner-Structure Transformer","created":"2022-04-07","cited_by_count":13,"area":null},{"id":"2205.09904","title":"Deep transfer learning for image classification: a survey","created":"2022-05-20","cited_by_count":13,"area":null},{"id":"2211.00807","title":"Unsupervised Model Adaptation for Source-free Segmentation of Medical Images","created":"2022-11-02","cited_by_count":13,"area":null},{"id":"2405.19899","title":"Open-Set Domain Adaptation for Semantic Segmentation","created":"2024-05-30","cited_by_count":13,"area":null},{"id":"2101.00522","title":"Domain Adaptation for the Segmentation of Confidential Medical Images","created":"2021-01-02","cited_by_count":12,"area":null},{"id":"2103.08219","title":"Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation","created":"2021-03-15","cited_by_count":11,"area":null},{"id":"2212.14121","title":"CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation","created":"2022-12-28","cited_by_count":11,"area":null},{"id":"2201.05905","title":"SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data","created":"2022-01-15","cited_by_count":10,"area":null},{"id":"2211.15235","title":"Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation","created":"2022-11-28","cited_by_count":10,"area":null},{"id":"2305.11012","title":"SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation","created":"2023-05-18","cited_by_count":10,"area":null},{"id":"2201.05022","title":"Self-semantic contour adaptation for cross modality brain tumor segmentation","created":"2022-01-13","cited_by_count":9,"area":null},{"id":"2101.02375","title":"Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation","created":"2021-01-07","cited_by_count":8,"area":null},{"id":"2201.03176","title":"Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond","created":"2022-01-10","cited_by_count":8,"area":null},{"id":"2211.09317","title":"Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine","created":"2022-11-17","cited_by_count":8,"area":null},{"id":"2309.01207","title":"Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation","created":"2023-09-03","cited_by_count":8,"area":null},{"id":"2404.14956","title":"DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions","created":"2024-04-23","cited_by_count":8,"area":null},{"id":"2502.14886","title":"Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review","created":"2025-02-16","cited_by_count":8,"area":null},{"id":"2108.11801","title":"Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room","created":"2021-08-26","cited_by_count":7,"area":null},{"id":"2306.03511","title":"Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation","created":"2023-06-06","cited_by_count":7,"area":null},{"id":"2307.02798","title":"Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning","created":"2023-07-06","cited_by_count":7,"area":null},{"id":"2307.14709","title":"Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation","created":"2023-07-27","cited_by_count":7,"area":null},{"id":"2309.05306","title":"Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation","created":"2023-09-11","cited_by_count":7,"area":null},{"id":"2310.00670","title":"A Hierarchical Graph-based Approach for Recognition and Description Generation of Bimanual Actions in Videos","created":"2023-10-01","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":"2401.09496","title":"Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation","created":"2024-01-17","cited_by_count":6,"area":null},{"id":"2112.04984","title":"Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images","created":"2021-12-09","cited_by_count":5,"area":null},{"id":"2203.01969","title":"Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining","created":"2022-03-03","cited_by_count":5,"area":null},{"id":"2205.11888","title":"Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation","created":"2022-05-24","cited_by_count":5,"area":null},{"id":"2301.02554","title":"MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets","created":"2023-01-04","cited_by_count":5,"area":null},{"id":"2303.14998","title":"Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation","created":"2023-03-27","cited_by_count":5,"area":null},{"id":"2308.11144","title":"Exploring Unsupervised Cell Recognition with Prior Self-activation Maps","created":"2023-08-22","cited_by_count":5,"area":null},{"id":"2311.01702","title":"Medical Image Segmentation with Domain Adaptation: A Survey","created":"2023-11-03","cited_by_count":5,"area":null},{"id":"2405.19221","title":"Domain adaptation in small-scale and heterogeneous biological datasets","created":"2024-05-29","cited_by_count":5,"area":null},{"id":"2407.02893","title":"An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation","created":"2024-07-03","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":"2309.06075","title":"A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation","created":"2023-09-12","cited_by_count":4,"area":null},{"id":"2411.16719","title":"Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation","created":"2024-11-23","cited_by_count":4,"area":null},{"id":"2505.09927","title":"DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation","created":"2025-05-15","cited_by_count":4,"area":null},{"id":"2105.07715","title":"Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation","created":"2021-05-17","cited_by_count":3,"area":null},{"id":"2303.05912","title":"DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem","created":"2023-03-10","cited_by_count":3,"area":null},{"id":"2407.04396","title":"FunOTTA: On-the-Fly Adaptation on Cross-Domain Fundus Image via Stable Test-time Training","created":"2024-07-05","cited_by_count":3,"area":null},{"id":"2106.08188","title":"Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation","created":"2021-06-15","cited_by_count":2,"area":null},{"id":"2110.15823","title":"C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation","created":"2021-10-29","cited_by_count":2,"area":null},{"id":"2203.10507","title":"Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions","created":"2022-03-20","cited_by_count":2,"area":null},{"id":"2210.07862","title":"Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images","created":"2022-10-14","cited_by_count":2,"area":null},{"id":"2304.06489","title":"Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey","created":"2023-04-07","cited_by_count":2,"area":null},{"id":"2310.15402","title":"Towards contrast-agnostic soft segmentation of the spinal cord","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2312.12246","title":"MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept","created":"2023-12-19","cited_by_count":2,"area":null},{"id":"2505.22458","title":"Universal Domain Adaptation for Semantic Segmentation","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2103.02220","title":"Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation","created":"2021-03-03","cited_by_count":1,"area":null},{"id":"2107.00418","title":"Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images","created":"2021-07-01","cited_by_count":1,"area":null},{"id":"2108.12719","title":"A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry","created":"2021-08-28","cited_by_count":1,"area":null},{"id":"2109.09505","title":"Unsupervised domain adaptation with non-stochastic missing data","created":"2021-09-16","cited_by_count":1,"area":null},{"id":"2109.09736","title":"Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation","created":"2021-09-19","cited_by_count":1,"area":null},{"id":"2201.08955","title":"Modality Bank: Learn multi-modality images across data centers without sharing medical data","created":"2022-01-22","cited_by_count":1,"area":null},{"id":"2203.10773","title":"Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation","created":"2022-03-21","cited_by_count":1,"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":"2208.09197","title":"EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation","created":"2022-08-19","cited_by_count":1,"area":null},{"id":"2209.10425","title":"Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis","created":"2022-09-21","cited_by_count":1,"area":null},{"id":"2212.07276","title":"M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision","created":"2022-12-14","cited_by_count":1,"area":null},{"id":"2403.15609","title":"Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels","created":"2024-03-22","cited_by_count":1,"area":null},{"id":"2502.20619","title":"Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2505.11909","title":"Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation","created":"2025-05-17","cited_by_count":1,"area":null},{"id":"2507.19575","title":"Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2510.00665","title":"Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2607.07518","title":"Learning to Unify Deformable Shape and Texture Representations for Cardiac Video Classification","created":"2026-07-08","cited_by_count":1,"area":null},{"id":"2205.12857","title":"Structure Unbiased Adversarial Model for Medical Image Segmentation","created":"2022-05-25","cited_by_count":0,"area":null},{"id":"2303.16435","title":"Domain Adaptive Semantic Segmentation by Optimal Transport","created":"2023-03-29","cited_by_count":0,"area":null},{"id":"2304.07967","title":"360$^\\circ$ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer","created":"2023-04-17","cited_by_count":0,"area":null},{"id":"2306.08213","title":"SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation","created":"2023-06-14","cited_by_count":0,"area":null}],"next_cursor":"100"}