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Dose-aware diffusion model for 3D PET image denoising: Multi-institutional validation with reader study and real low-dose data
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GCN combined with snake convolution for enhanced topological perception in thrombotic hepatic portal vein segmentation
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Functional imaging constrained diffusion for brain PET synthesis from structural MRI
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Ultrasound Localization Microscopy Learned from power doppler by uncertainty frequency density estimation and semantic consistency awareness
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Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods
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NeuroGT: Biophysically grounded graph transformers for self-supervised representation learning of neuronal morphology
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Prediction of post-stroke brain swelling using biomechanical modelling and deep neural networks
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PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRI
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OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotations
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Foundational model-based geometric consistency monocular depth estimation framework for colonoscopy
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OphMatcher: Uncertainty-aware self-training on ophthalmic surgical videos for anatomy-constrained matching and intraoprative navigation
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Point2SSM++: Self-supervised learning of anatomical shape models from point clouds
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Learning with less supervision: A survey of label-efficient learning for medical image analysis
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MorphoNet: Morphological sub-region-based structure learning for WSI analysis
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UniPET: A universal network for high-quality PET image denoising across varied dose reduction factors
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VCC-DSA: A novel vascular consistency constrained DSA imaging model for motion artifact suppression
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Towards generalizable pathology reports via a multimodal LLM with the multicenter in-context learning
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Neural implicit heart coordinates: 3D cardiac shape reconstruction from sparse segmentations
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Fine-grained and multi-pattern anti-nuclear antibody recognition: A new dataset and framework
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Pixel-wise recognition for holistic surgical scene understanding
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MedCLIP-SAMv2: Towards universal text-driven medical image segmentation
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Learning from certain regions of interest in medical images via probabilistic positive-unlabeled networks
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Recurrent inference machine for medical image registration
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OCELOT 2023: Cell detection from cell–tissue interaction challenge
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CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
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DMP-Net: Deep semantic prior compressed spectral reconstruction method towards intraoperative imaging of brain tissue
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Deep generation of personalized connectomes based on individual attributes
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Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond
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