{"total":67,"rows":[{"id":"2111.14791","title":"Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis","created":"2021-11-29","cited_by_count":422,"area":null},{"id":"2307.15615","title":"A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond","created":"2023-07-28","cited_by_count":55,"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":"2303.00874","title":"Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training","created":"2023-03-02","cited_by_count":37,"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":"2302.05615","title":"Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis","created":"2023-02-11","cited_by_count":26,"area":null},{"id":"2211.09233","title":"Prompt Tuning for Parameter-efficient Medical Image Segmentation","created":"2022-11-16","cited_by_count":22,"area":null},{"id":"2109.11572","title":"SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings","created":"2021-09-23","cited_by_count":21,"area":null},{"id":"2306.08913","title":"Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder","created":"2023-06-15","cited_by_count":21,"area":null},{"id":"2307.14725","title":"vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images","created":"2023-07-27","cited_by_count":19,"area":null},{"id":"2404.15580","title":"MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis","created":"2024-04-24","cited_by_count":19,"area":null},{"id":"2504.13820","title":"CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning","created":"2025-04-18","cited_by_count":19,"area":"wm"},{"id":"2311.15607","title":"Spatially Covariant Image Registration with Text Prompts","created":"2023-11-27","cited_by_count":18,"area":null},{"id":"2402.18933","title":"Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration","created":"2024-02-29","cited_by_count":17,"area":null},{"id":"2105.01218","title":"Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss","created":"2021-05-03","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":"2307.12225","title":"ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising","created":"2023-07-23","cited_by_count":15,"area":null},{"id":"2307.09727","title":"SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid","created":"2023-07-19","cited_by_count":14,"area":null},{"id":"2103.16670","title":"Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification","created":"2021-03-30","cited_by_count":12,"area":null},{"id":"2112.05760","title":"Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications","created":"2021-12-10","cited_by_count":12,"area":null},{"id":"2502.20985","title":"LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging","created":"2025-02-28","cited_by_count":12,"area":null},{"id":"2309.15358","title":"Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision","created":"2023-09-27","cited_by_count":11,"area":null},{"id":"2311.16914","title":"Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging","created":"2023-11-28","cited_by_count":11,"area":null},{"id":"2302.05043","title":"A Review of Predictive and Contrastive Self-supervised Learning for Medical Images","created":"2023-02-10","cited_by_count":10,"area":null},{"id":"2311.14986","title":"SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation","created":"2023-11-25","cited_by_count":9,"area":null},{"id":"2105.01828","title":"Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection","created":"2021-05-05","cited_by_count":8,"area":null},{"id":"2506.09095","title":"Foundation Models in Medical Imaging: A Review and Outlook","created":"2025-06-10","cited_by_count":8,"area":null},{"id":"2509.00549","title":"A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging","created":"2025-08-30","cited_by_count":8,"area":null},{"id":"2306.16997","title":"Unsupervised 3D registration through optimization-guided cyclical self-training","created":"2023-06-29","cited_by_count":7,"area":null},{"id":"2310.01680","title":"Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation","created":"2023-10-02","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":"2410.08152","title":"RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace","created":"2024-10-10","cited_by_count":6,"area":null},{"id":"2203.01687","title":"Structure-Guided Self-Supervised Matching for One-Shot Medical Landmark Detection","created":"2022-03-03","cited_by_count":5,"area":null},{"id":"2306.13988","title":"SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference","created":"2023-06-24","cited_by_count":5,"area":null},{"id":"2109.02722","title":"Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration","created":"2021-09-06","cited_by_count":4,"area":null},{"id":"2211.07118","title":"Information-guided pixel augmentation for pixel-wise contrastive learning","created":"2022-11-14","cited_by_count":4,"area":null},{"id":"2308.07337","title":"A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies","created":"2023-08-11","cited_by_count":4,"area":null},{"id":"2309.08888","title":"GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels","created":"2023-09-16","cited_by_count":4,"area":null},{"id":"2407.05412","title":"FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks","created":"2024-07-07","cited_by_count":4,"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":"2404.18731","title":"Real Time Multi Organ Classification on Computed Tomography Images","created":"2024-04-29","cited_by_count":3,"area":null},{"id":"2407.20395","title":"Dense Self-Supervised Learning for Medical Image Segmentation","created":"2024-07-29","cited_by_count":3,"area":null},{"id":"2409.10291","title":"Anatomical Positional Embeddings","created":"2024-09-16","cited_by_count":3,"area":null},{"id":"2506.20850","title":"Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision","created":"2025-06-25","cited_by_count":3,"area":null},{"id":"2204.01713","title":"Exemplar Learning for Medical Image Segmentation","created":"2022-04-03","cited_by_count":2,"area":null},{"id":"2307.03535","title":"Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images","created":"2023-07-07","cited_by_count":2,"area":null},{"id":"2401.06473","title":"Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation","created":"2024-01-12","cited_by_count":2,"area":null},{"id":"2503.12868","title":"UniReg: Conditional Unified Model for Medical Image Registration","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2111.10773","title":"One-shot Weakly-Supervised Segmentation in Medical Images","created":"2021-11-21","cited_by_count":1,"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":"2401.09336","title":"To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection","created":"2024-01-17","cited_by_count":1,"area":null},{"id":"2407.08961","title":"Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT","created":"2024-07-12","cited_by_count":1,"area":null},{"id":"2501.10131","title":"ACE: Anatomically Consistent Embeddings in Composition and Decomposition","created":"2025-01-17","cited_by_count":1,"area":null},{"id":"2604.12411","title":"DeferredSeg:A Multi-Expert Deferral Framework for Medical Image Segmentation","created":"2026-04-14","cited_by_count":1,"area":null},{"id":"2210.00646","title":"Pixel-global Self-supervised Learning with Uncertainty-aware Context Stabilizer","created":"2022-10-02","cited_by_count":0,"area":null},{"id":"2310.06339","title":"Automatic nodule identification and differentiation in ultrasound videos to facilitate per-nodule examination","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2503.16058","title":"Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection","created":"2025-03-20","cited_by_count":0,"area":null},{"id":"2505.18052","title":"BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2505.19208","title":"Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation","created":"2025-05-25","cited_by_count":0,"area":null},{"id":"2507.23609","title":"Consistent Point Matching","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2509.18765","title":"DiSSECT: Structuring Transfer-Ready Medical Image Representations through Discrete Self-Supervision","created":"2025-09-23","cited_by_count":0,"area":null},{"id":"2602.08717","title":"Zero-shot System for Automatic Body Region Detection for Volumetric CT and MR Images","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2603.23694","title":"CoRe: Joint Optimization with Contrastive Learning for Medical Image Registration","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2603.24847","title":"CORA: Generalizable coronary artery disease assessment and risk stratification from coronary CT angiography using pathology-centric representation learning","created":"2026-03-25","cited_by_count":0,"area":null},{"id":"2605.23118","title":"Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2606.04898","title":"CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2610.16548","title":"NoduleFlow: Automatic 3D Lung Nodule Detection and Segmentation","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}