SCI Abstract

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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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MedLSAM: Localize and segment anything model for 3D CT images
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SpinDoctor-IVIM: A virtual imaging framework for intravoxel incoherent motion MRI
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TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
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Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer
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Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature
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DACG: Dual Attention and Context Guidance model for radiology report generation
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An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge
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Beyond strong labels: Weakly-supervised learning based on Gaussian pseudo labels for the segmentation of ellipse-like vascular structures in non-contrast CTs
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A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata
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Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images
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Clinical knowledge-guided hybrid classification network for automatic periodontal disease diagnosis in X-ray image
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Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy
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Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation
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CP-Net: Instance-aware part segmentation network for biological cell parsing
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MIST: Multi-instance selective transformer for histopathological subtype prediction
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Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography
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Dual-stream multi-dependency graph neural network enables precise cancer survival analysis
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Medical image registration via neural fields
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Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
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Vessel-targeted compensation of deformable motion in interventional cone-beam CT
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A geometric approach to robust medical image segmentation
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A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians
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