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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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Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancer
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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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Exploring the robustness of TractOracle methods in RL-based tractography
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Pixel-responsive optimization beamforming method for ultrasound transcranial imaging
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Speckle2Self: Self-supervised ultrasound speckle reduction without clean data
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BiasPruner: Mitigating bias transfer in continual learning for fair medical image analysis
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Collaborative surgical instrument segmentation for monocular depth estimation in minimally invasive surgery
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Aligning personalized biomarker trajectories onto a common time axis: a connectome-based ODE model for Tau–Amyloid beta dynamics
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Paired phase and magnitude reconstruction neural network for multi-shot diffusion magnetic resonance imaging
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MSARAE: Multiscale adversarial regularized autoencoders for cortical network classification
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Federated modality-specific encoders and partially personalized fusion decoder for multimodal brain tumor segmentation
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Unsupervised 4D-flow MRI reconstruction based on partially-independent generative modeling and complex-difference sparsity constraint
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MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis
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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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Dual-modality visual feature flow for medical report generation
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AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT
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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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Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans
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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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