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Unsupervised brain MRI tumour segmentation via two-stage image synthesis
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M4: Multi-proxy multi-gate mixture of experts network for multiple instance learning in histopathology image analysis
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Improved unsupervised 3D lung lesion detection and localization by fusing global and local features: Validation in 3D low-dose computed tomography
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UAE: Universal Anatomical Embedding on multi-modality medical images
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DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation
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Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection
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MedScale-Former: Self-guided multiscale transformer for medical image segmentation
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From tissue to sound: A new paradigm for medical sonic interaction design
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Evaluating medical AI systems in dermatology under uncertain ground truth
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A topology-preserving three-stage framework for fully-connected coronary artery extraction
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Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
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Bi-variational physics-informed operator network for fractional flow reserve curve assessment from coronary angiography
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Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks
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Anatomy-inspired model for critical landmark localization in 3D spinal ultrasound volume data
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Report is a mixture of topics: Topic-guided radiology report generation
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Characterization of spine and torso stiffness via differentiable biomechanics
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Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data
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One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction
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Lightweight Multi-Stage Aggregation Transformer for robust medical image segmentation
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3DGR-CT: Sparse-view CT reconstruction with a 3D Gaussian representation
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MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration
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Texture-preserving diffusion model for CBCT-to-CT synthesis
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RFMiD: Retinal Image Analysis for multi-Disease Detection challenge
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Dual structure-aware image filterings for semi-supervised medical image segmentation
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HAGMN-UQ: Hyper association graph matching network with uncertainty quantification for coronary artery semantic labeling
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A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision
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LoViT: Long Video Transformer for surgical phase recognition
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Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery
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Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction
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Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields
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