{"total":356,"rows":[{"id":"2101.06329","title":"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning","created":"2021-01-15","cited_by_count":301,"area":null},{"id":"2208.09910","title":"Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation","created":"2022-08-21","cited_by_count":178,"area":null},{"id":"2305.00673","title":"Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation","created":"2023-05-01","cited_by_count":116,"area":null},{"id":"2206.14718","title":"LViT: Language meets Vision Transformer in Medical Image Segmentation","created":"2022-06-29","cited_by_count":111,"area":null},{"id":"2109.09960","title":"Mutual Consistency Learning for Semi-supervised Medical Image Segmentation","created":"2021-09-21","cited_by_count":108,"area":null},{"id":"2103.02911","title":"Semi-supervised Left Atrium Segmentation with Mutual Consistency Training","created":"2021-03-04","cited_by_count":104,"area":null},{"id":"2105.13381","title":"Recent advances and clinical applications of deep learning in medical image analysis","created":"2021-05-27","cited_by_count":104,"area":null},{"id":"2112.04894","title":"Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer","created":"2021-12-09","cited_by_count":100,"area":null},{"id":"2203.01324","title":"Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation","created":"2022-03-02","cited_by_count":93,"area":null},{"id":"2108.06227","title":"SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation","created":"2021-08-13","cited_by_count":86,"area":null},{"id":"2207.14191","title":"Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation","created":"2022-07-28","cited_by_count":76,"area":null},{"id":"2203.02106","title":"Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision","created":"2022-03-04","cited_by_count":64,"area":null},{"id":"2210.03736","title":"Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis","created":"2022-10-05","cited_by_count":63,"area":null},{"id":"2301.03505","title":"Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review","created":"2023-01-09","cited_by_count":62,"area":null},{"id":"2110.08762","title":"Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation","created":"2021-10-17","cited_by_count":61,"area":null},{"id":"2302.08119","title":"A Review of Uncertainty Estimation and its Application in Medical Imaging","created":"2023-02-16","cited_by_count":59,"area":null},{"id":"2410.10777","title":"UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation","created":"2024-10-14","cited_by_count":54,"area":null},{"id":"2201.08657","title":"Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation","created":"2022-01-21","cited_by_count":51,"area":null},{"id":"2105.07059","title":"Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation","created":"2021-05-14","cited_by_count":49,"area":null},{"id":"2403.18271","title":"Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding","created":"2024-03-27","cited_by_count":48,"area":null},{"id":"2101.02323","title":"Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation","created":"2021-01-07","cited_by_count":45,"area":null},{"id":"2112.09645","title":"Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation","created":"2021-12-17","cited_by_count":43,"area":null},{"id":"2302.01735","title":"Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective","created":"2023-02-03","cited_by_count":43,"area":null},{"id":"2106.08600","title":"Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching","created":"2021-06-16","cited_by_count":42,"area":null},{"id":"2310.06873","title":"A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods","created":"2023-10-09","cited_by_count":39,"area":null},{"id":"2107.13271","title":"Spatial Uncertainty-Aware Semi-Supervised Crowd Counting","created":"2021-07-28","cited_by_count":38,"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":"2311.17597","title":"Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning","created":"2023-11-29","cited_by_count":34,"area":null},{"id":"2201.10737","title":"Class-Aware Adversarial Transformers for Medical Image Segmentation","created":"2022-01-26","cited_by_count":33,"area":null},{"id":"2107.13741","title":"Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels","created":"2021-07-29","cited_by_count":32,"area":null},{"id":"2203.13993","title":"RSCFed: Random Sampling Consensus Federated Semi-supervised Learning","created":"2022-03-26","cited_by_count":32,"area":null},{"id":"2209.13476","title":"Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels","created":"2022-09-27","cited_by_count":30,"area":null},{"id":"2307.06312","title":"Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation","created":"2023-07-12","cited_by_count":30,"area":null},{"id":"2112.07431","title":"Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation","created":"2021-12-14","cited_by_count":29,"area":null},{"id":"2205.03644","title":"Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation","created":"2022-05-07","cited_by_count":27,"area":null},{"id":"2206.02307","title":"Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation","created":"2022-06-06","cited_by_count":27,"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":"2301.05500","title":"RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation","created":"2023-01-13","cited_by_count":27,"area":null},{"id":"2106.09862","title":"Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review","created":"2021-06-18","cited_by_count":26,"area":null},{"id":"2109.13930","title":"All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation","created":"2021-09-28","cited_by_count":25,"area":null},{"id":"2207.01066","title":"NP-Match: When Neural Processes meet Semi-Supervised Learning","created":"2022-07-03","cited_by_count":25,"area":null},{"id":"2301.04465","title":"Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation","created":"2023-01-11","cited_by_count":25,"area":null},{"id":"2307.11960","title":"DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation","created":"2023-07-22","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":"2103.00429","title":"Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models","created":"2021-02-28","cited_by_count":22,"area":null},{"id":"2104.03225","title":"Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images","created":"2021-04-07","cited_by_count":22,"area":null},{"id":"2112.02508","title":"Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation","created":"2021-12-05","cited_by_count":22,"area":null},{"id":"2212.14310","title":"MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery","created":"2022-12-29","cited_by_count":22,"area":null},{"id":"2308.09887","title":"Calibrating Uncertainty for Semi-Supervised Crowd Counting","created":"2023-08-19","cited_by_count":22,"area":null},{"id":"2105.10369","title":"Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation","created":"2021-05-21","cited_by_count":21,"area":null},{"id":"2206.09293","title":"Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation","created":"2022-06-18","cited_by_count":21,"area":null},{"id":"2209.06285","title":"Warm Start Active Learning with Proxy Labels \\& Selection via Semi-Supervised Fine-Tuning","created":"2022-09-13","cited_by_count":21,"area":null},{"id":"2108.03429","title":"Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation","created":"2021-08-07","cited_by_count":20,"area":null},{"id":"2202.08141","title":"FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation","created":"2022-02-16","cited_by_count":20,"area":null},{"id":"2305.16214","title":"Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation","created":"2023-05-25","cited_by_count":20,"area":null},{"id":"2106.01544","title":"SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation","created":"2021-06-03","cited_by_count":19,"area":null},{"id":"2312.06316","title":"SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization","created":"2023-12-11","cited_by_count":19,"area":null},{"id":"2107.04886","title":"Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation","created":"2021-07-10","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":"2208.05669","title":"PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation","created":"2022-08-11","cited_by_count":17,"area":null},{"id":"2308.06777","title":"Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning","created":"2023-08-13","cited_by_count":17,"area":null},{"id":"2302.07579","title":"Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks","created":"2023-02-15","cited_by_count":16,"area":null},{"id":"2303.12484","title":"Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions","created":"2023-03-22","cited_by_count":16,"area":null},{"id":"2407.05416","title":"Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation","created":"2024-07-07","cited_by_count":16,"area":null},{"id":"2105.14732","title":"Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation","created":"2021-05-31","cited_by_count":15,"area":null},{"id":"2303.13090","title":"Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation","created":"2023-03-23","cited_by_count":15,"area":null},{"id":"2103.03629","title":"Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification","created":"2021-03-05","cited_by_count":14,"area":null},{"id":"2103.04813","title":"Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization","created":"2021-03-08","cited_by_count":14,"area":null},{"id":"2106.01860","title":"Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation","created":"2021-06-03","cited_by_count":14,"area":null},{"id":"2108.08956","title":"Semi-supervised learning for medical image classification using imbalanced training data","created":"2021-08-20","cited_by_count":14,"area":null},{"id":"2109.14172","title":"Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention","created":"2021-09-29","cited_by_count":14,"area":null},{"id":"2202.04074","title":"Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation","created":"2022-02-08","cited_by_count":14,"area":null},{"id":"2208.09350","title":"PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation","created":"2022-08-19","cited_by_count":14,"area":null},{"id":"2404.08951","title":"Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation","created":"2024-04-13","cited_by_count":14,"area":null},{"id":"2411.00144","title":"Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis","created":"2024-10-31","cited_by_count":14,"area":null},{"id":"2112.12218","title":"Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation","created":"2021-12-22","cited_by_count":13,"area":null},{"id":"2203.14523","title":"Translation Consistent Semi-supervised Segmentation for 3D Medical Images","created":"2022-03-28","cited_by_count":13,"area":null},{"id":"2208.06449","title":"When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation","created":"2022-08-12","cited_by_count":13,"area":null},{"id":"2310.16099","title":"Anatomically-aware Uncertainty for Semi-supervised Image Segmentation","created":"2023-10-24","cited_by_count":13,"area":null},{"id":"2111.11629","title":"Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation","created":"2021-11-23","cited_by_count":12,"area":null},{"id":"2201.13078","title":"Lymphoma segmentation from 3D PET-CT images using a deep evidential network","created":"2022-01-31","cited_by_count":12,"area":null},{"id":"2210.11291","title":"Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos","created":"2022-10-20","cited_by_count":12,"area":null},{"id":"2311.11686","title":"Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation","created":"2023-11-20","cited_by_count":12,"area":null},{"id":"2407.04036","title":"Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier","created":"2024-07-04","cited_by_count":12,"area":null},{"id":"2111.10989","title":"Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation","created":"2021-11-22","cited_by_count":11,"area":null},{"id":"2112.05151","title":"Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI","created":"2021-12-09","cited_by_count":11,"area":null},{"id":"2311.16447","title":"Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency","created":"2023-11-28","cited_by_count":11,"area":null},{"id":"2103.04708","title":"Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation","created":"2021-03-08","cited_by_count":10,"area":null},{"id":"2202.00677","title":"An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation","created":"2022-02-01","cited_by_count":10,"area":null},{"id":"2304.07519","title":"Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation","created":"2023-04-15","cited_by_count":10,"area":null},{"id":"2104.03840","title":"Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond","created":"2021-04-08","cited_by_count":9,"area":null},{"id":"2106.10887","title":"Trust It or Not: Confidence-Guided Automatic Radiology Report Generation","created":"2021-06-21","cited_by_count":9,"area":null},{"id":"2107.02433","title":"Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration","created":"2021-07-06","cited_by_count":9,"area":null},{"id":"2210.10956","title":"Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation","created":"2022-10-20","cited_by_count":9,"area":null},{"id":"2211.12193","title":"Anatomy-guided domain adaptation for 3D in-bed human pose estimation","created":"2022-11-22","cited_by_count":9,"area":null},{"id":"2304.02689","title":"ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast","created":"2023-04-05","cited_by_count":9,"area":null},{"id":"2404.14852","title":"Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation","created":"2024-04-23","cited_by_count":9,"area":null},{"id":"2409.06928","title":"Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning","created":"2024-09-11","cited_by_count":9,"area":null},{"id":"2409.16728","title":"SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation","created":"2024-09-25","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}],"next_cursor":"100"}