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Deblurring masked image modeling for ultrasound image analysis

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A bidirectional framework for fracture simulation and deformation-based restoration prediction in pelvic fracture surgical planning

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FetMRQC: A robust quality control system for multi-centric fetal brain MRI

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Generating multi-pathological and multi-modal images and labels for brain MRI

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Federated brain tumor segmentation: An extensive benchmark

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Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation

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Diffusion tensor transformation for personalizing target volumes in radiation therapy

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DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation

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Improving lesion volume measurements on digital mammograms

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A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detection

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A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging

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Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning

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DCCAT: Dual-Coordinate Cross-Attention Transformer for thrombus segmentation on coronary OCT

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Guided image generation for improved surgical image segmentation

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From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation

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An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images

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ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification

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The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue

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Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity

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Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images

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A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians

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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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Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation

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