{"total":91,"rows":[{"id":"2301.00785","title":"CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection","created":"2023-01-02","cited_by_count":224,"area":null},{"id":"2403.17834","title":"Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography","created":"2024-03-26","cited_by_count":199,"area":null},{"id":"2403.06801","title":"CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging","created":"2024-03-11","cited_by_count":96,"area":null},{"id":"2109.08685","title":"Self-supervised learning methods and applications in medical imaging analysis: A survey","created":"2021-09-17","cited_by_count":77,"area":null},{"id":"2407.16697","title":"AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking","created":"2024-07-23","cited_by_count":65,"area":null},{"id":"2303.07811","title":"ICICLE: Interpretable Class Incremental Continual Learning","created":"2023-03-14","cited_by_count":24,"area":null},{"id":"2404.18279","title":"Out-of-distribution Detection in Medical Image Analysis: A survey","created":"2024-04-28","cited_by_count":22,"area":null},{"id":"2212.13805","title":"Swin MAE: Masked Autoencoders for Small Datasets","created":"2022-12-28","cited_by_count":17,"area":null},{"id":"2303.17051","title":"Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation","created":"2023-03-29","cited_by_count":17,"area":null},{"id":"2402.17246","title":"SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging","created":"2024-02-27","cited_by_count":17,"area":null},{"id":"2307.12463","title":"Rethinking Data Distillation: Do Not Overlook Calibration","created":"2023-07-24","cited_by_count":13,"area":null},{"id":"2307.12775","title":"Is attention all you need in medical image analysis? A review","created":"2023-07-24","cited_by_count":12,"area":null},{"id":"2206.10096","title":"Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms","created":"2022-06-21","cited_by_count":11,"area":null},{"id":"2308.00920","title":"Virtual histological staining of unlabeled autopsy tissue","created":"2023-08-02","cited_by_count":11,"area":null},{"id":"2504.17813","title":"CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss","created":"2025-04-22","cited_by_count":11,"area":null},{"id":"2401.14424","title":"Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search","created":"2024-01-24","cited_by_count":10,"area":null},{"id":"2403.10674","title":"D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation","created":"2024-03-15","cited_by_count":9,"area":null},{"id":"2404.15946","title":"Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography","created":"2024-04-24","cited_by_count":9,"area":null},{"id":"2406.14050","title":"Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image","created":"2024-06-20","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":"2403.12211","title":"A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness","created":"2024-03-18","cited_by_count":6,"area":null},{"id":"2406.19749","title":"SPIRONet: Spatial-Frequency Learning and Graph-based Channel Interaction Network for Vessel Segmentation","created":"2024-06-28","cited_by_count":6,"area":null},{"id":"2412.13533","title":"Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments","created":"2024-12-18","cited_by_count":6,"area":null},{"id":"2503.24121","title":"IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration","created":"2025-03-31","cited_by_count":5,"area":null},{"id":"2401.17207","title":"Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI","created":"2024-01-30","cited_by_count":4,"area":null},{"id":"2402.01034","title":"VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification","created":"2024-02-01","cited_by_count":4,"area":null},{"id":"2404.10894","title":"Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images","created":"2024-04-16","cited_by_count":4,"area":null},{"id":"2407.05088","title":"Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation","created":"2024-07-06","cited_by_count":4,"area":null},{"id":"2407.16313","title":"Deep Learning for Pancreas Segmentation: a Systematic Review","created":"2024-07-23","cited_by_count":4,"area":null},{"id":"2509.26146","title":"Ordinal Label-Distribution Learning with Constrained Asymmetric Priors for Imbalanced Retinal Grading","created":"2025-09-30","cited_by_count":4,"area":null},{"id":"2211.08840","title":"Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation","created":"2022-11-16","cited_by_count":3,"area":null},{"id":"2212.02014","title":"Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding","created":"2022-12-05","cited_by_count":3,"area":null},{"id":"2304.13938","title":"A Deep Registration Method for Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis","created":"2023-04-27","cited_by_count":3,"area":null},{"id":"2401.06349","title":"ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers","created":"2024-01-12","cited_by_count":3,"area":null},{"id":"2401.10129","title":"Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study","created":"2024-01-18","cited_by_count":3,"area":null},{"id":"2402.08768","title":"Adversarially Robust Feature Learning for Breast Cancer Diagnosis","created":"2024-02-13","cited_by_count":3,"area":null},{"id":"2403.11504","title":"MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning","created":"2024-03-18","cited_by_count":3,"area":null},{"id":"2404.06057","title":"Unified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning","created":"2024-04-09","cited_by_count":3,"area":null},{"id":"2405.01654","title":"Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis","created":"2024-05-02","cited_by_count":3,"area":null},{"id":"2406.16993","title":"Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?","created":"2024-06-24","cited_by_count":3,"area":null},{"id":"2407.06176","title":"Contour-weighted loss for class-imbalanced image segmentation","created":"2024-06-07","cited_by_count":3,"area":null},{"id":"2410.02523","title":"Med-TTT: Vision Test-Time Training model for Medical Image Segmentation","created":"2024-10-03","cited_by_count":3,"area":null},{"id":"2206.03336","title":"Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images","created":"2022-06-07","cited_by_count":2,"area":null},{"id":"2403.12466","title":"Few-shot Object Localization","created":"2024-03-19","cited_by_count":2,"area":null},{"id":"2408.09899","title":"LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery","created":"2024-08-19","cited_by_count":2,"area":null},{"id":"2409.05558","title":"Seeing Through the Mask: Rethinking Adversarial Examples for CAPTCHAs","created":"2024-09-09","cited_by_count":2,"area":null},{"id":"2503.20652","title":"Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification","created":"2025-03-26","cited_by_count":2,"area":null},{"id":"2309.00727","title":"Deep learning in medical image registration: introduction and survey","created":"2023-09-01","cited_by_count":1,"area":null},{"id":"2309.12245","title":"Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images","created":"2023-09-21","cited_by_count":1,"area":null},{"id":"2403.02544","title":"Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning","created":"2024-03-04","cited_by_count":1,"area":null},{"id":"2405.07256","title":"Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation","created":"2024-05-12","cited_by_count":1,"area":null},{"id":"2405.16082","title":"Uncertainty Measurement of Deep Learning System based on the Convex Hull of Training Sets","created":"2024-05-25","cited_by_count":1,"area":null},{"id":"2406.12293","title":"Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2407.06566","title":"Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging","created":"2024-07-09","cited_by_count":1,"area":null},{"id":"2409.05255","title":"Label-free evaluation of lung and heart transplant biopsies using tissue autofluorescence-based virtual staining","created":"2024-09-09","cited_by_count":1,"area":null},{"id":"2410.19820","title":"Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review","created":"2024-10-18","cited_by_count":1,"area":null},{"id":"2503.02053","title":"EPEE: Towards Efficient and Effective Foundation Models in Biomedicine","created":"2025-03-03","cited_by_count":1,"area":null},{"id":"2506.22063","title":"EnLVAM: Enhanced Left Ventricle Linear Measurements Utilizing Anatomical Motion Mode","created":"2025-06-27","cited_by_count":1,"area":null},{"id":"2603.13376","title":"A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2606.01698","title":"Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2201.10675","title":"Virtual Adversarial Training for Semi-supervised Breast Mass Classification","created":"2022-01-25","cited_by_count":0,"area":null},{"id":"2209.12157","title":"Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks","created":"2022-09-25","cited_by_count":0,"area":null},{"id":"2307.16440","title":"Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection","created":"2023-07-31","cited_by_count":0,"area":null},{"id":"2309.07087","title":"Developing a Novel Image Marker to Predict the Clinical Outcome of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients","created":"2023-09-13","cited_by_count":0,"area":null},{"id":"2309.09246","title":"Image-level supervision and self-training for transformer-based cross-modality tumor segmentation","created":"2023-09-17","cited_by_count":0,"area":null},{"id":"2309.12202","title":"Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023","created":"2023-09-14","cited_by_count":0,"area":null},{"id":"2309.12876","title":"Gravity Network for end-to-end small lesion detection","created":"2023-09-22","cited_by_count":0,"area":null},{"id":"2404.01194","title":"Adaptive Query Prompting for Multi-Domain Landmark Detection","created":"2024-04-01","cited_by_count":0,"area":null},{"id":"2405.08780","title":"Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling","created":"2024-05-14","cited_by_count":0,"area":null},{"id":"2406.06017","title":"Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2406.09981","title":"Challenges in explaining deep learning models for data with biological variation","created":"2024-06-14","cited_by_count":0,"area":null},{"id":"2408.05692","title":"A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation","created":"2024-08-11","cited_by_count":0,"area":null},{"id":"2503.03475","title":"Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction","created":"2025-03-05","cited_by_count":0,"area":null},{"id":"2504.15667","title":"Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg","created":"2025-04-22","cited_by_count":0,"area":null},{"id":"2507.07496","title":"Semi-supervised learning and integration of multi-sequence MR-images for carotid vessel wall and plaque segmentation","created":"2025-07-10","cited_by_count":0,"area":null},{"id":"2507.14102","title":"UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography","created":"2025-07-18","cited_by_count":0,"area":null},{"id":"2508.06429","title":"SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation","created":"2025-08-08","cited_by_count":0,"area":null},{"id":"2509.24595","title":"Comprehensive Benchmarking of YOLOv11 Architectures for Scalable and Granular Peripheral Blood Cell Detection","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2509.25265","title":"Evaluating the Impact of Radiographic Noise on Chest X-ray Semantic Segmentation and Disease Classification Using a Scalable Noise Injection Framework","created":"2025-09-28","cited_by_count":0,"area":null},{"id":"2510.09654","title":"TreeNet: Layered Decision Ensembles","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2510.25990","title":"Fine-tuning Segment Anything for Real-Time Tumor Tracking in Cine-MRI","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2511.01302","title":"REASON: Probability map-guided dual-branch fusion framework for gastric content assessment","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2601.12960","title":"Trustworthy Data-driven Chronological Age Estimation from Panoramic Dental Images","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2601.14338","title":"Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation","created":"2026-01-20","cited_by_count":0,"area":null},{"id":"2602.06695","title":"Diffeomorphism-Equivariant Neural Networks","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2605.24722","title":"Calibrating Probabilistic Object Detectors with Annotator Disagreement","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2606.19174","title":"A Clinician-Centered Pipeline for Annotation and Evaluation in Ultrasound AI Studies","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2607.06083","title":"MSA-DCNN: A Data-Efficient Multi-Scale Attention Deformable CNN for Medical Image Classification","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.11509","title":"CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2608.20229","title":"Prompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2609.20340","title":"FreqDINO++: A Frequency-Guided Multi-Task Routing Vision Foundation Model for Universal Ultrasound Analysis","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}