{"total":54,"rows":[{"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":"2110.08762","title":"Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation","created":"2021-10-17","cited_by_count":61,"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":"2308.05864","title":"The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions","created":"2023-08-10","cited_by_count":39,"area":null},{"id":"2202.00972","title":"DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation","created":"2022-02-02","cited_by_count":37,"area":null},{"id":"2103.04705","title":"Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation","created":"2021-03-08","cited_by_count":33,"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":"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":"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":"2203.14523","title":"Translation Consistent Semi-supervised Segmentation for 3D Medical Images","created":"2022-03-28","cited_by_count":13,"area":null},{"id":"2203.10196","title":"Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation","created":"2022-03-19","cited_by_count":10,"area":null},{"id":"2212.03465","title":"MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy","created":"2022-12-07","cited_by_count":10,"area":null},{"id":"2305.17937","title":"Attention Mechanisms in Medical Image Segmentation: A Survey","created":"2023-05-29","cited_by_count":9,"area":null},{"id":"2301.04866","title":"Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation","created":"2023-01-12","cited_by_count":7,"area":null},{"id":"2304.04902","title":"Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning","created":"2023-04-11","cited_by_count":6,"area":null},{"id":"2109.03230","title":"Self-supervised Tumor Segmentation through Layer Decomposition","created":"2021-09-07","cited_by_count":4,"area":null},{"id":"2207.13502","title":"Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors","created":"2022-07-27","cited_by_count":4,"area":null},{"id":"2307.15257","title":"Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications","created":"2023-07-28","cited_by_count":4,"area":null},{"id":"2309.03837","title":"Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications","created":"2023-09-07","cited_by_count":4,"area":null},{"id":"2502.05282","title":"Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning","created":"2025-02-07","cited_by_count":4,"area":null},{"id":"2106.03987","title":"Weakly Supervised Volumetric Image Segmentation with Deformed Templates","created":"2021-06-07","cited_by_count":3,"area":null},{"id":"2109.06361","title":"POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring","created":"2021-09-13","cited_by_count":3,"area":null},{"id":"2401.03037","title":"CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition","created":"2024-01-05","cited_by_count":3,"area":null},{"id":"2505.13584","title":"Self-Supervised Learning for Image Segmentation: A Comprehensive Survey","created":"2025-05-19","cited_by_count":3,"area":null},{"id":"2103.05116","title":"ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network","created":"2021-03-08","cited_by_count":2,"area":null},{"id":"2107.14476","title":"Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning","created":"2021-07-30","cited_by_count":2,"area":null},{"id":"2210.09705","title":"ATCON: Attention Consistency for Vision Models","created":"2022-10-18","cited_by_count":2,"area":null},{"id":"2308.03613","title":"Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels","created":"2023-08-07","cited_by_count":2,"area":null},{"id":"2104.11017","title":"Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation","created":"2021-04-22","cited_by_count":1,"area":null},{"id":"2110.12179","title":"MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels","created":"2021-10-23","cited_by_count":1,"area":null},{"id":"2302.10272","title":"Is Autoencoder Truly Applicable for 3D CT Super-Resolution?","created":"2023-01-23","cited_by_count":1,"area":null},{"id":"2303.09794","title":"Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation","created":"2023-03-17","cited_by_count":1,"area":null},{"id":"2304.04441","title":"Self-training with dual uncertainty for semi-supervised medical image segmentation","created":"2023-04-10","cited_by_count":1,"area":null},{"id":"2311.12836","title":"AI-based association analysis for medical imaging using latent-space geometric confounder correction","created":"2023-10-03","cited_by_count":1,"area":null},{"id":"2411.15455","title":"M3TR: Temporal Retrieval Enhanced Multi-Modal Micro-video Popularity Prediction","created":"2024-11-23","cited_by_count":1,"area":null},{"id":"2502.11456","title":"Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2112.00793","title":"Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2112.04734","title":"New Tight Relaxations of Rank Minimization for Multi-Task Learning","created":"2021-12-09","cited_by_count":0,"area":null},{"id":"2205.04044","title":"Masked Co-attentional Transformer reconstructs 100x ultra-fast/low-dose whole-body PET from longitudinal images and anatomically guided MRI","created":"2022-05-09","cited_by_count":0,"area":null},{"id":"2211.16950","title":"DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation","created":"2022-11-30","cited_by_count":0,"area":null},{"id":"2303.12801","title":"A Data Augmentation Method and the Embedding Mechanism for Detection and Classification of Pulmonary Nodules on Small Samples","created":"2023-03-02","cited_by_count":0,"area":null},{"id":"2404.01563","title":"Two-Phase Multi-Dose-Level PET Image Reconstruction with Dose Level Awareness","created":"2024-04-02","cited_by_count":0,"area":null},{"id":"2404.12450","title":"Enhancing AI Diagnostics: Autonomous Lesion Masking via Semi-Supervised Deep Learning","created":"2024-04-18","cited_by_count":0,"area":null},{"id":"2407.04638","title":"Semi-Supervised Segmentation via Embedding Matching","created":"2024-07-05","cited_by_count":0,"area":null},{"id":"2407.18673","title":"A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention","created":"2024-07-26","cited_by_count":0,"area":null},{"id":"2410.12419","title":"Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2503.03042","title":"Learning from Noisy Labels with Contrastive Co-Transformer","created":"2025-03-04","cited_by_count":0,"area":null},{"id":"2503.19736","title":"GRN+: A Simplified Generative Reinforcement Network for Tissue Layer Analysis in 3D Ultrasound Images for Chronic Low-back Pain","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2504.11588","title":"Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2507.19074","title":"A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2510.15354","title":"Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2511.17614","title":"HSMix: Hard and Soft Mixing Data Augmentation for Medical Image Segmentation","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2608.07340","title":"H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation","created":"2026-08-07","cited_by_count":0,"area":null}],"next_cursor":null}