AIMC Journal:
Medical image analysis

Showing 181 to 190 of 684 articles

MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models.

Medical image analysis Oct 6, 2023
The number of studies on deep learning for medical diagnosis is expanding, and these systems are often claimed to outperform clinicians. However, only a few systems have shown medical efficacy. From this perspective, we examine a wide range of deep l...
Magnetic Resonance Imaging Glioblastoma Brain Neoplasms Deep Learning Tumor Suppressor Proteins Methylation DNA Modification Methylases DNA Repair Enzymes Humans Reproducibility of Results Aged
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PC-Reg: A pyramidal prediction-correction approach for large deformation image registration.

Medical image analysis Sep 28, 2023
Deformable image registration plays an important role in medical image analysis. Deep neural networks such as VoxelMorph and TransMorph are fast, but limited to small deformations and face challenges in the presence of large deformations. To tackle l...
Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Backdoor attack and defense in federated generative adversarial network-based medical image synthesis.

Medical image analysis Sep 22, 2023
Deep Learning-based image synthesis techniques have been applied in healthcare research for generating medical images to support open research and augment medical datasets. Training generative adversarial neural networks (GANs) usually require large ...
Diagnostic Imaging Humans Neural Networks, Computer Image Processing, Computer-Assisted
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A robust and interpretable deep learning framework for multi-modal registration via keypoints.

Medical image analysis Sep 13, 2023
We present KeyMorph, a deep learning-based image registration framework that relies on automatically detecting corresponding keypoints. State-of-the-art deep learning methods for registration often are not robust to large misalignments, are not inter...
Humans Brain Neuroimaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning
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Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation.

Medical image analysis Sep 12, 2023
The role of fibrillar collagen in the tissue microenvironment is critical in disease contexts ranging from cancers to chronic inflammations, as evidenced by many studies. Quantifying fibrillar collagen organization has become a powerful approach for ...
Liver Microscopy Collagen Fibrillar Collagens Humans Neural Networks, Computer
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Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images.

Medical image analysis Sep 9, 2023
Magnetic resonance imaging (MRI) is increasingly being used to delineate morphological changes underlying neurological disorders. Successfully detecting these changes depends on the MRI data quality. Unfortunately, image artifacts frequently compromi...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Deep Learning Artifacts Uncertainty
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Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis.

Medical image analysis Aug 9, 2023
Most of the intracranial aneurysms (ICA) occur on a specific portion of the cerebral vascular tree named the Circle of Willis (CoW). More particularly, they mainly arise onto fifteen of the major arterial bifurcations constituting this circular struc...
Deep Learning Circle of Willis Artificial Intelligence Neural Networks, Computer Diagnosis, Computer-Assisted
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MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data.

Medical image analysis Aug 9, 2023
Large-scale data obtained from aggregation of already collected multi-site neuroimaging datasets has brought benefits such as higher statistical power, reliability, and robustness to the studies. Despite these promises from growth in sample size, sub...
Neuroimaging Pancreas Deep Learning Sample Size Humans Reproducibility of Results
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Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey.

Medical image analysis Aug 6, 2023
Electron microscopy (EM) enables high-resolution imaging of tissues and cells based on 2D and 3D imaging techniques. Due to the laborious and time-consuming nature of manual segmentation of large-scale EM datasets, automated segmentation approaches a...
Algorithms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Microscopy, Electron
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Robotic ultrasound imaging: State-of-the-art and future perspectives.

Medical image analysis Jul 18, 2023
Ultrasound (US) is one of the most widely used modalities for clinical intervention and diagnosis due to the merits of providing non-invasive, radiation-free, and real-time images. However, free-hand US examinations are highly operator-dependent. Rob...
Ultrasonography Robotics Robotic Surgical Procedures Artificial Intelligence Humans Reproducibility of Results
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