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Biomechanical modeling combined with pressure-volume loop analysis to aid surgical planning in patients with complex congenital heart disease
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DDoCT: Morphology preserved dual-domain joint optimization for fast sparse-view low-dose CT imaging
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Personalized dental crown design: A point-to-mesh completion network
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Brain networks and intelligence: A graph neural network based approach to resting state fMRI data
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SurgiTrack: Fine-grained multi-class multi-tool tracking in surgical videos
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AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT
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Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans
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Organ-level instance segmentation enables continuous time-space-spectrum analysis of pre-clinical abdominal photoacoustic tomography images
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Contrastive machine learning reveals species -shared and -specific brain functional architecture
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Corrigendum to “Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge” [Medical Image Analysis, April 2022, Volume 77, 102333]
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Editorial for Special Issue on Foundation Models for Medical Image Analysis
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Improving cross-domain generalizability of medical image segmentation using uncertainty and shape-aware continual test-time domain adaptation
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MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis
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Multidimensional Directionality-Enhanced Segmentation via large vision model
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COLLATOR: Consistent spatial-temporal longitudinal atlas construction via implicit neural representation
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ZygoPlanner: A three-stage graphics-based framework for optimal preoperative planning of zygomatic implant placement
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Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation
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Toward Automated Detection of Microbleeds with Anatomical Scale Localization Using Deep Learning
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Outlier detection in cardiac diffusion tensor imaging: Shot rejection or robust fitting?
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Dual-Modality Visual Feature Flow for Medical Report Generation
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The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction
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Few-shot medical image segmentation with high-fidelity prototypes
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Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection
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CLMS: Bridging domain gaps in medical imaging segmentation with source-free continual learning for robust knowledge transfer and adaptation
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Prediction of the upright articulated spine shape in the operating room using conditioned neural kernel fields
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Harnessing 12-lead ECG and MRI data to personalise repolarisation profiles in cardiac digital twin models for enhanced virtual drug testing
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Multi-scale region selection network in deep features for full-field mammogram classification
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Highly accelerated MRI via implicit neural representation guided posterior sampling of diffusion models
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A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
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NCCT-to-CECT synthesis with contrast-enhanced knowledge and anatomical perception for multi-organ segmentation in non-contrast CT images
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