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From structural complexity to causal representation: A dynamic fractal–attention framework for fine-grained ovarian tumor classification in ultrasound

Medical Image Analysis

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YoloSeg: You only label once for medical image segmentation

Medical Image Analysis

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FKDNuSeg: Flawless knowledge distillation for lightweight and fast nuclei instance segmentation and classification

Medical Image Analysis

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Diffusion-based generative fiber orientation restoration from severe signal loss in diffusion-weighted MRI

Medical Image Analysis

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GiTNet: A graph-based trajectory-informed network for gaze-supervised medical image segmentation

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Calibration-free 3D–2D surface registration for image guided intervention

Medical Image Analysis

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Advancing federated semi-supervised medical image segmentation: A duo of interactive denoising pseudo-labels and convolutional contrastive learning

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Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective

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Decoding the surgical scene: A scoping review of scene graphs in surgery

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Aligning personalized biomarker trajectories onto a common time axis: a connectome-based ODE model for Tau–Amyloid beta dynamics

Tau lesions and amyloid plaques (short as Aβ) are two of the most important biomarkers in the AT(N) system, which is widel...

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Paired phase and magnitude reconstruction neural network for multi-shot diffusion magnetic resonance imaging

Diffusion weighted imaging (DWI) is a non-invasive magnetic resonance imaging (MRI) method that detects the free diffusion...

Medical Image Analysis

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MSARAE: Multiscale adversarial regularized autoencoders for cortical network classification

The human cerebral cortex, as the outer layer of gray matter in the brain, plays a vital role in both neuroscience and cli...

Medical Image Analysis

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Federated modality-specific encoders and partially personalized fusion decoder for multimodal brain tumor segmentation

Federated learning (FL) enables participants to collaboratively train a global model on their collective data without brea...

Medical Image Analysis

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Unsupervised 4D-flow MRI reconstruction based on partially-independent generative modeling and complex-difference sparsity constraint

Four-dimensional (4D = 3D space + time) flow magnetic resonance imaging (MRI) is a dynamic phase-contrast (PC) imaging tec...

Medical Image Analysis

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HarmonicEchoNet: Leveraging harmonic convolutions for automated standard plane detection in fetal heart ultrasound videos

Fetal echocardiography offers non-invasive and real-time imaging acquisition of fetal heart images to identify congenital ...

Medical Image Analysis

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Supervised white matter bundle segmentation in glioma patients with transfer learning

Magnetic resonance imaging (MRI) has emerged as a valuable non-invasive tool to characterize the large-scale architecture ...

Medical Image Analysis

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Completing spatial transcriptomics data for gene expression prediction benchmarking

Spatial Transcriptomics (ST) is an emerging technology that precisely localizes gene expression profiles within histologic...

Medical Image Analysis

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StaDis: Stability distance to detecting out-of-distribution data in computational pathology

Computational pathology (CPath) (Song et al., 2023), which utilizes whole-slide images (WSIs) stained with hematoxylin and...

Medical Image Analysis

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Leveraging sparse annotations for leukemia diagnosis on the large leukemia dataset

Leukemia is among the leading causes of cancer-related deaths worldwide, with an estimated 487,000 new cases and 305,000 d...

Medical Image Analysis

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