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Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion

Although deep learning-based approaches have demonstrated significant potential in surgical scene analysis (Maier-Hein et ...

Medical Image Analysis

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Driven by textual knowledge: A Text-View Enhanced Knowledge Transfer Network for lung infection region segmentation

Pneumonia is a prevalent respiratory disease, with cases surging since the COVID-19 pandemic. Infected lung regions typica...

Medical Image Analysis

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AdaptFRCNet: Semi-supervised adaptation of pre-trained model with frequency and region consistency for medical image segmentation

Medical image segmentation involves delineating anatomical structures, organs, or lesions from medical images to facilitat...

Medical Image Analysis

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SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images

Quality control (QC) of structures segmentation in volumetric medical images is important for identifying segmentation err...

Medical Image Analysis

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Nested hierarchical group-wise registration with a graph-based subgrouping strategy for efficient template construction

Population-level analysis is an essential task in brain research. Recent studies have investigated brain development and a...

Medical Image Analysis

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REPAIR: Reciprocal assistance imputation-representation learning for glioma diagnosis with incomplete MRI sequences

Glioma (GM) is the most common malignant primary brain tumor, accounting for approximately 24% of all primary brain and ot...

Medical Image Analysis

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Next-generation surgical navigation: Marker-less multi-view 6DoF pose estimation of surgical instruments

Computer-assisted interventions have benefited significantly from advances in computer vision (Mascagni et al., 2022) to i...

Medical Image Analysis

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AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes

KeywordsPathological image analysisMultiple instance learningAttribute scoring mechanismPathology attribute constraintPath...

Medical Image Analysis

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A survey of deep-learning-based radiology report generation using multimodal inputs

Automatic radiology report generation can alleviate the workload for physicians and minimize regional disparities in medic...

Medical Image Analysis

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Generating realistic single-cell images from CellProfiler representations

High-throughput data have become an essential tool for uncovering the mechanisms of cellular diseases (O’Reilly et al., 20...

Medical Image Analysis

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Automated motor-leg scoring in stroke via a stable graph causality debiasing model

Stroke is a leading cause of death and disability worldwide, significantly threatening human health (Feigin et al., 2022; ...

Medical Image Analysis

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Learning contrast and content representations for synthesizing magnetic resonance image of arbitrary contrast

Magnetic Resonance Imaging (MRI) is an indispensable tool in modern medical diagnosis and intervention, offering non-invas...

Medical Image Analysis

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MSFusion: A multi-source hybrid feature fusion network for accurate grading of invasive breast cancer using H&E-stained histopathological images

Breast cancer is a heterogeneous disease characterized by abnormal proliferation of cells within the breast, exhibiting in...

Medical Image Analysis

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An orchestration learning framework for ultrasound imaging: Prompt-Guided Hyper-Perception and Attention-Matching Downstream Synchronization

Ultrasound imaging has become an essential tool in clinical diagnostics due to its affordability, portability, safety (bei...

Medical Image Analysis

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Learnable prototype-guided multiple instance learning for detecting tertiary lymphoid structures in multi-cancer whole-slide pathological images

Tertiary lymphoid structures (TLS) are specialized immune tissues that are typically absent in certain organs under normal...

Medical Image Analysis

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ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound

The fetal standard plane acquisition task aims to detect an Ultrasound (US) image characterized by specified anatomical la...

Medical Image Analysis

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Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI

Cardiovascular magnetic resonance (CMR) imaging has become an indispensable tool in the diagnosis, treatment planning, and...

Medical Image Analysis

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Efficient few-shot medical image segmentation via self-supervised variational autoencoder

Medical image segmentation is the process of partitioning images, such as Magnetic Resonance Imaging (MRI) and Computed To...

Medical Image Analysis

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HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction

Survival prediction is a crucial task in computational pathology, which aims to analyze the expected duration of time unti...

Medical Image Analysis

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Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal consistency

KeywordsUltrasound localisation microscopy (ULM)Super-resolution ultrasound (SRUS)Microbubble contrast agentsDeconvolution...

Medical Image Analysis

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RFMiD: Retinal Image Analysis for multi-Disease Detection challenge