{"total":637,"rows":[{"id":"2112.04489","title":"Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning","created":"2021-12-08","cited_by_count":125,"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":"2304.06131","title":"UniverSeg: Universal Medical Image Segmentation","created":"2023-04-12","cited_by_count":91,"area":null},{"id":"2101.01035","title":"HyperMorph: Amortized Hyperparameter Learning for Image Registration","created":"2021-01-04","cited_by_count":85,"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":"2206.13295","title":"Diffusion Deformable Model for 4D Temporal Medical Image Generation","created":"2022-06-27","cited_by_count":65,"area":null},{"id":"2108.00622","title":"Recurrent Mask Refinement for Few-Shot Medical Image Segmentation","created":"2021-08-02","cited_by_count":63,"area":null},{"id":"2403.05780","title":"uniGradICON: A Foundation Model for Medical Image Registration","created":"2024-03-09","cited_by_count":58,"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":"2110.10403","title":"AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation","created":"2021-10-20","cited_by_count":48,"area":null},{"id":"2206.07349","title":"XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention","created":"2022-06-15","cited_by_count":46,"area":null},{"id":"2202.12165","title":"Transformers in Medical Image Analysis: A Review","created":"2022-02-24","cited_by_count":41,"area":null},{"id":"2206.05897","title":"$\\texttt{GradICON}$: Approximate Diffeomorphisms via Gradient Inverse Consistency","created":"2022-06-13","cited_by_count":41,"area":null},{"id":"2501.07556","title":"MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training","created":"2025-01-13","cited_by_count":41,"area":null},{"id":"2208.04939","title":"U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?","created":"2022-08-07","cited_by_count":40,"area":null},{"id":"2111.00648","title":"Accurate Point Cloud Registration with Robust Optimal Transport","created":"2021-11-01","cited_by_count":38,"area":null},{"id":"2203.08652","title":"Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow","created":"2022-03-16","cited_by_count":38,"area":null},{"id":"2406.00123","title":"Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration","created":"2024-05-31","cited_by_count":38,"area":null},{"id":"2101.10241","title":"RGB-D Salient Object Detection via 3D Convolutional Neural Networks","created":"2021-01-25","cited_by_count":36,"area":null},{"id":"2410.09890","title":"Large-Scale 3D Medical Image Pre-training with Geometric Context Priors","created":"2024-10-13","cited_by_count":36,"area":null},{"id":"2203.16680","title":"Learning the Effect of Registration Hyperparameters with HyperMorph","created":"2022-03-30","cited_by_count":35,"area":null},{"id":"2206.01136","title":"Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives","created":"2022-06-02","cited_by_count":33,"area":null},{"id":"2112.06979","title":"The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients","created":"2021-12-13","cited_by_count":32,"area":null},{"id":"2105.04349","title":"Generative Adversarial Registration for Improved Conditional Deformable Templates","created":"2021-05-07","cited_by_count":31,"area":null},{"id":"2201.10776","title":"DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction","created":"2022-01-26","cited_by_count":31,"area":null},{"id":"2111.01754","title":"Meta-Learning to Improve Pre-Training","created":"2021-11-02","cited_by_count":27,"area":null},{"id":"2105.04459","title":"ICON: Learning Regular Maps Through Inverse Consistency","created":"2021-05-10","cited_by_count":26,"area":null},{"id":"2404.04518","title":"MedIAnomaly: A comparative study of anomaly detection in medical images","created":"2024-04-06","cited_by_count":26,"area":null},{"id":"2105.12227","title":"Learning a Model-Driven Variational Network for Deformable Image Registration","created":"2021-05-25","cited_by_count":25,"area":null},{"id":"2304.09941","title":"A Robust and Interpretable Deep Learning Framework for Multi-modal Registration via Keypoints","created":"2023-04-19","cited_by_count":25,"area":null},{"id":"2305.02644","title":"Neuralizer: General Neuroimage Analysis without Re-Training","created":"2023-05-04","cited_by_count":24,"area":null},{"id":"2306.05688","title":"ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer","created":"2023-06-09","cited_by_count":23,"area":null},{"id":"2403.09303","title":"Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective","created":"2024-03-14","cited_by_count":23,"area":null},{"id":"2109.12384","title":"Joint Progressive and Coarse-to-fine Registration of Brain MRI via Deformation Field Integration and Non-Rigid Feature Fusion","created":"2021-09-25","cited_by_count":22,"area":null},{"id":"2202.08329","title":"CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs","created":"2022-02-16","cited_by_count":22,"area":null},{"id":"2206.03830","title":"Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior","created":"2022-06-08","cited_by_count":22,"area":null},{"id":"2211.16342","title":"Fourier-Net: Fast Image Registration with Band-limited Deformation","created":"2022-11-29","cited_by_count":22,"area":null},{"id":"2107.04548","title":"Cross-modal Attention for MRI and Ultrasound Volume Registration","created":"2021-07-09","cited_by_count":21,"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":"2203.10517","title":"Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations","created":"2022-03-20","cited_by_count":21,"area":null},{"id":"2307.03421","title":"Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration","created":"2023-07-07","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":"2203.03626","title":"Coordinate Translator for Learning Deformable Medical Image Registration","created":"2022-03-05","cited_by_count":20,"area":null},{"id":"2206.12596","title":"Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning","created":"2022-06-25","cited_by_count":20,"area":null},{"id":"2203.00046","title":"Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation","created":"2022-02-28","cited_by_count":19,"area":null},{"id":"2206.03111","title":"Medical Image Registration via Neural Fields","created":"2022-06-07","cited_by_count":19,"area":null},{"id":"2301.11329","title":"Anatomy-aware and acquisition-agnostic joint registration with SynthMorph","created":"2023-01-26","cited_by_count":19,"area":null},{"id":"2106.08493","title":"Multi-scale Neural ODEs for 3D Medical Image Registration","created":"2021-06-16","cited_by_count":18,"area":null},{"id":"2108.04543","title":"Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future","created":"2021-08-10","cited_by_count":18,"area":null},{"id":"2202.03563","title":"Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment","created":"2022-02-07","cited_by_count":18,"area":null},{"id":"2311.15607","title":"Spatially Covariant Image Registration with Text Prompts","created":"2023-11-27","cited_by_count":18,"area":null},{"id":"2102.02033","title":"Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation","created":"2021-02-03","cited_by_count":17,"area":null},{"id":"2103.13578","title":"Test-Time Training for Deformable Multi-Scale Image Registration","created":"2021-03-25","cited_by_count":17,"area":null},{"id":"2107.04440","title":"A Deep Discontinuity-Preserving Image Registration Network","created":"2021-07-09","cited_by_count":17,"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":"2103.03840","title":"Self-Supervised Longitudinal Neighbourhood Embedding","created":"2021-03-05","cited_by_count":16,"area":null},{"id":"2105.12722","title":"Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning","created":"2021-05-26","cited_by_count":16,"area":null},{"id":"2109.12688","title":"Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration","created":"2021-09-26","cited_by_count":16,"area":null},{"id":"2110.09260","title":"A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data","created":"2021-10-18","cited_by_count":16,"area":null},{"id":"2208.00034","title":"MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI","created":"2022-07-29","cited_by_count":16,"area":null},{"id":"2404.01464","title":"Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images","created":"2024-04-01","cited_by_count":16,"area":null},{"id":"2408.00221","title":"multiGradICON: A Foundation Model for Multimodal Medical Image Registration","created":"2024-08-01","cited_by_count":16,"area":null},{"id":"2106.12175","title":"Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging","created":"2021-06-23","cited_by_count":15,"area":null},{"id":"2308.14083","title":"4D Myocardium Reconstruction with Decoupled Motion and Shape Model","created":"2023-08-27","cited_by_count":15,"area":null},{"id":"2304.07645","title":"Magnitude Invariant Parametrizations Improve Hypernetwork Learning","created":"2023-04-15","cited_by_count":14,"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":"2309.14306","title":"DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning","created":"2023-09-25","cited_by_count":14,"area":null},{"id":"2312.00836","title":"Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration","created":"2023-12-01","cited_by_count":14,"area":null},{"id":"2105.06460","title":"End-to-End Sequential Sampling and Reconstruction for MRI","created":"2021-05-13","cited_by_count":13,"area":null},{"id":"2310.01934","title":"Robust deformable image registration using cycle-consistent implicit representations","created":"2023-10-03","cited_by_count":13,"area":null},{"id":"2406.05054","title":"Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation","created":"2024-06-07","cited_by_count":13,"area":null},{"id":"2407.08093","title":"MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters","created":"2024-07-10","cited_by_count":13,"area":null},{"id":"2103.05213","title":"Enhancing Medical Image Registration via Appearance Adjustment Networks","created":"2021-03-09","cited_by_count":12,"area":null},{"id":"2204.04360","title":"Data Augmentation for Electrocardiograms","created":"2022-04-09","cited_by_count":12,"area":null},{"id":"2302.00901","title":"Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs","created":"2023-02-02","cited_by_count":12,"area":null},{"id":"2305.00087","title":"Inverse Consistency by Construction for Multistep Deep Registration","created":"2023-04-28","cited_by_count":12,"area":null},{"id":"2505.24160","title":"Beyond the LUMIR challenge: The pathway to foundational registration models","created":"2025-05-30","cited_by_count":12,"area":null},{"id":"2204.13656","title":"Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation","created":"2022-04-28","cited_by_count":11,"area":null},{"id":"2209.03671","title":"Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging","created":"2022-09-08","cited_by_count":11,"area":null},{"id":"2305.18033","title":"The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue","created":"2023-05-29","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":"2402.00019","title":"Diffusion MRI with Machine Learning","created":"2024-01-01","cited_by_count":11,"area":null},{"id":"2402.15687","title":"General Purpose Image Encoder DINOv2 for Medical Image Registration","created":"2024-02-24","cited_by_count":11,"area":null},{"id":"2103.00885","title":"Deep learning based geometric registration for medical images: How accurate can we get without visual features?","created":"2021-03-01","cited_by_count":10,"area":null},{"id":"2110.02117","title":"Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation","created":"2021-10-05","cited_by_count":10,"area":null},{"id":"2112.03915","title":"Embedding Gradient-based Optimization in Image Registration Networks","created":"2021-12-07","cited_by_count":10,"area":null},{"id":"2203.04290","title":"Residual Aligner Network","created":"2022-03-07","cited_by_count":10,"area":null},{"id":"2211.07876","title":"Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision","created":"2022-11-15","cited_by_count":10,"area":null},{"id":"2304.11135","title":"Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer","created":"2023-04-21","cited_by_count":10,"area":null},{"id":"2407.10209","title":"Vector Field Attention for Deformable Image Registration","created":"2024-07-14","cited_by_count":10,"area":null},{"id":"2101.02194","title":"Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks","created":"2021-01-06","cited_by_count":9,"area":null},{"id":"2103.16262","title":"Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study","created":"2021-03-30","cited_by_count":9,"area":null},{"id":"2104.10051","title":"Semantic similarity metrics for learned image registration","created":"2021-04-20","cited_by_count":9,"area":null},{"id":"2107.05533","title":"Deformation-Compensated Learning for Image Reconstruction without Ground Truth","created":"2021-07-12","cited_by_count":9,"area":null},{"id":"2109.14805","title":"Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images","created":"2021-09-30","cited_by_count":9,"area":null},{"id":"2207.12901","title":"Cross-Modality Image Registration using a Training-Time Privileged Third Modality","created":"2022-07-26","cited_by_count":9,"area":null},{"id":"2209.02004","title":"Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning","created":"2022-09-05","cited_by_count":9,"area":null},{"id":"2303.06179","title":"Deformable Cross-Attention Transformer for Medical Image Registration","created":"2023-03-10","cited_by_count":9,"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":"2312.00837","title":"Adaptive Correspondence Scoring for Unsupervised Medical Image Registration","created":"2023-12-01","cited_by_count":9,"area":null}],"next_cursor":"100"}