AIMC Topic: Magnetic Resonance Imaging

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The Use of fMRI Regional Analysis to Automatically Detect ADHD Through a 3D CNN-Based Approach.

Journal of imaging informatics in medicine Jul 19, 2024
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by a reduced attention span, hyperactivity, and impulsive behaviors, which typically manifest during childhood. This study employs functional magnetic reso...
Humans Brain Female Neural Networks, Computer Databases, Factual Male Magnetic Resonance Imaging Attention Deficit Disorder with Hyperactivity Deep Learning Adolescent Child Imaging, Three-Dimensional
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Deep learning-based 3D quantitative total tumor burden predicts early recurrence of BCLC A and B HCC after resection.

European radiology Jul 19, 2024
OBJECTIVES: This study aimed to evaluate the potential of deep learning (DL)-assisted automated three-dimensional quantitative tumor burden at MRI to predict postoperative early recurrence (ER) of hepatocellular carcinoma (HCC).
Tumor Burden Hepatectomy Magnetic Resonance Imaging Predictive Value of Tests Neoplasm Recurrence, Local Carcinoma, Hepatocellular Imaging, Three-Dimensional Contrast Media Humans Male Retrospective Studies Prognosis Middle Aged Deep Learning Female Liver Neoplasms Aged
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Enhancing SNR in CEST imaging: A deep learning approach with a denoising convolutional autoencoder.

Magnetic resonance in medicine Jul 19, 2024
PURPOSE: To develop a SNR enhancement method for CEST imaging using a denoising convolutional autoencoder (DCAE) and compare its performance with state-of-the-art denoising methods.
Principal Component Analysis Signal-To-Noise Ratio Image Processing, Computer-Assisted Phantoms, Imaging Mice Magnetic Resonance Imaging Algorithms Animals Deep Learning
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Exploring deep learning strategies for intervertebral disc herniation detection on veterinary MRI.

Scientific reports Jul 19, 2024
Intervertebral Disc Herniation (IVDH) is a common spinal disease in dogs, significantly impacting their health, mobility, and overall well-being. This study initiates an effort to automate the detection and localization of IVDH lesions in veterinary ...
Cats Deep Learning Dogs Artificial Intelligence Magnetic Resonance Imaging Dog Diseases Animals Intervertebral Disc Displacement
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Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion.

European radiology Jul 18, 2024
OBJECTIVES: The aim of this study is to develop a deep-learning model to create synthetic temporal bone computed tomography (CT) images from ultrashort echo-time magnetic resonance imaging (MRI) scans, thereby addressing the intrinsic limitations of ...
Temporal Bone Humans Retrospective Studies Deep Learning Tomography, X-Ray Computed Magnetic Resonance Imaging Male Multimodal Imaging Middle Aged Female Aged
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Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI.

IEEE transactions on bio-medical engineering Jul 18, 2024
Resting-state functional magnetic resonance imaging (rs-fMRI) can reflect spontaneous neural activities in the brain and is widely used for brain disorder analysis. Previous studies focus on extracting fMRI representations using machine/deep learning...
Humans Neural Networks, Computer Machine Learning Male Algorithms Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Female Brain Mapping Adult
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Policy Learning for Actively Labeled Sample Selection on Lumbar Semi-supervised Classification.

Journal of imaging informatics in medicine Jul 17, 2024
Large labeled data bring significant performance improvement, but acquiring labeled medical data is particularly challenging due to the laborious, time-consuming, and medically qualified annotation. Semi-supervised learning has been employed to lever...
Lumbar Vertebrae Supervised Machine Learning Intervertebral Disc Displacement Humans Magnetic Resonance Imaging
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Fully and Weakly Supervised Deep Learning for Meniscal Injury Classification, and Location Based on MRI.

Journal of imaging informatics in medicine Jul 17, 2024
Meniscal injury is a common cause of knee joint pain and a precursor to knee osteoarthritis (KOA). The purpose of this study is to develop an automatic pipeline for meniscal injury classification and localization using fully and weakly supervised net...
Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Osteoarthritis, Knee Adult Male Middle Aged Tibial Meniscus Injuries Female Aged Humans Retrospective Studies
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Multi-parameter MRI-Based Machine Learning Model to Evaluate the Efficacy of STA-MCA Bypass Surgery for Moyamoya Disease: A Pilot Study.

Journal of imaging informatics in medicine Jul 17, 2024
Superficial temporal artery-middle cerebral artery (STA-MCA) bypass surgery represents the primary treatment for Moyamoya disease (MMD), with its efficacy contingent upon collateral vessel development. This study aimed to develop and validate a machi...
Female Young Adult Adult Male Humans Machine Learning Moyamoya Disease Temporal Arteries Cerebral Revascularization Treatment Outcome Magnetic Resonance Imaging Middle Cerebral Artery Middle Aged Pilot Projects Adolescent
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Achieving high accuracy in meniscus tear detection using advanced deep learning models with a relatively small data set.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jul 17, 2024
PURPOSE: This study aims to evaluate the effectiveness of advanced deep learning models, specifically YOLOv8 and EfficientNetV2, in detecting meniscal tears on magnetic resonance imaging (MRI) using a relatively small data set.
Deep Learning Magnetic Resonance Imaging Tibial Meniscus Injuries Adult Male Humans Female
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