AIMC Topic: Imaging, Three-Dimensional

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Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 21, 2025
Multimodality is often necessary for improving object segmentation tasks, especially in the case of multilabel tasks, such as tumor segmentation, which is crucial for clinical diagnosis and treatment planning. However, a major challenge in utilizing ...
Humans Algorithms Magnetic Resonance Imaging Multimodal Imaging Image Interpretation, Computer-Assisted Brain Neoplasms Deep Learning Imaging, Three-Dimensional
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Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound.

Medical image analysis Mar 21, 2025
Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasound (ABUS) is crucial for clinical diagnosis and treatment planning. Therefore, developing an automated system for nodule segmentation can enhance user...
Female Breast Neoplasms Humans Imaging, Three-Dimensional Ultrasonography, Mammary Algorithms Supervised Machine Learning Image Interpretation, Computer-Assisted
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Deep learning reconstruction for accelerated 3-D magnetic resonance cholangiopancreatography.

La Radiologia medica Mar 18, 2025
PURPOSE: This study aimed to compare a conventional three-dimensional (3-D) magnetic resonance cholangiopancreatography (MRCP) sequence with a deep learning (DL)-accelerated MRCP sequence (hereafter, MRCP) regarding acquisition time and image quality...
Prospective Studies Female Aged Humans Deep Learning Imaging, Three-Dimensional Pancreatic Diseases Adult Male Middle Aged Pancreatic Ducts Cholangiopancreatography, Magnetic Resonance
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AI-driven framework to map the brain metabolome in three dimensions.

Nature metabolism Mar 18, 2025
High-resolution spatial imaging is transforming our understanding of foundational biology. Spatial metabolomics is an emerging field that enables the dissection of the complex metabolic landscape and heterogeneity from a thin tissue section. Currentl...
Brain Animals Imaging, Three-Dimensional Artificial Intelligence Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Algorithms Mice Metabolomics Metabolome
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Robust resolution improvement of 3D UTE-MR angiogram of normal vasculatures using super-resolution convolutional neural network.

Scientific reports Mar 18, 2025
Contrast-enhanced UTE-MRA provides detailed angiographic information but at the cost of prolonged scanning periods, which may impose moving artifacts and affect the promptness of diagnosis and treatment of time-sensitive diseases like stroke. This st...
Contrast Media Stroke Magnetic Resonance Angiography Imaging, Three-Dimensional Neural Networks, Computer Male Rats, Wistar Animals Rats Deep Learning Convolutional Neural Networks
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Stages prediction of Alzheimer's disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data.

Scientific reports Mar 18, 2025
Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving the common practice of screening for Mild Cognitive Impairment (MCI). However, the progressive nature of AD makes it challenging to identify its causa...
Humans Neural Networks, Computer Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Positron-Emission Tomography Neuroimaging Deep Learning Female Cognitive Dysfunction Aged Imaging, Three-Dimensional Male
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LW-CTrans: A lightweight hybrid network of CNN and Transformer for 3D medical image segmentation.

Medical image analysis Mar 17, 2025
Recent models based on convolutional neural network (CNN) and Transformer have achieved the promising performance for 3D medical image segmentation. However, these methods cannot segment small targets well even when equipping large parameters. Theref...
Imaging, Three-Dimensional Humans Neural Networks, Computer Algorithms
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Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T.

Neuroradiology Mar 17, 2025
PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for cerebrovascular disease assessment, but clinical application is limited by long scan times and low spatial resolution. Recent advances in deep learnin...
Magnetic Resonance Angiography Image Interpretation, Computer-Assisted Image Enhancement Signal-To-Noise Ratio Retrospective Studies Adult Deep Learning Humans Female Male Imaging, Three-Dimensional Aged Cerebrovascular Disorders Middle Aged
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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills.

PLoS computational biology Mar 17, 2025
Data on the three dimensional shape of organismal morphology is becoming increasingly available, and forms part of a new revolution in high-throughput phenomics that promises to help understand ecological and evolutionary processes that influence phe...
Beak Deep Learning Imaging, Three-Dimensional Computational Biology Animals Birds Artificial Intelligence
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UC-NeRF: Uncertainty-Aware Conditional Neural Radiance Fields From Endoscopic Sparse Views.

IEEE transactions on medical imaging Mar 17, 2025
Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally invasive procedures. Novel View Synthesis is a vital technique that offers geometry and appearance reconstruction, enhancing understanding, planning,...
Image Processing, Computer-Assisted Uncertainty Humans Neural Networks, Computer Algorithms Endoscopy Imaging, Three-Dimensional
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