AIMC Topic:
Magnetic Resonance Imaging
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A geometric approach to robust medical image segmentation.
Medical image analysis
Jun 29, 2024
Robustness of deep learning segmentation models is crucial for their safe incorporation into clinical practice. However, these models can falter when faced with distributional changes. This challenge is evident in magnetic resonance imaging (MRI) sca...
Identifying subgroups of urge suppression in Obsessive-Compulsive Disorder using machine learning.
Journal of psychiatric research
Jun 29, 2024
Obsessive-compulsive disorder (OCD) is phenomenologically heterogeneous. While predominant models suggest fear and harm prevention drive compulsions, many patients also experience uncomfortable sensory-based urges ("sensory phenomena") that may be as...
The advantages and limitations of MRI-Based machine learning model in the characterization of cystic renal masses.
Academic radiology
Jun 29, 2024
Shared functional specialization in transformer-based language models and the human brain.
Nature communications
Jun 29, 2024
When processing language, the brain is thought to deploy specialized computations to construct meaning from complex linguistic structures. Recently, artificial neural networks based on the Transformer architecture have revolutionized the field of nat...
Iterative Motion Correction Technique with Deep Learning Reconstruction for Brain MRI: A Volunteer and Patient Study.
Journal of imaging informatics in medicine
Jun 28, 2024
The aim of this study was to investigate the effect of iterative motion correction (IMC) on reducing artifacts in brain magnetic resonance imaging (MRI) with deep learning reconstruction (DLR). The study included 10 volunteers (between September 2023...
Enhanced choroid plexus segmentation with 3D UX-Net and its association with disease progression in multiple sclerosis.
Multiple sclerosis and related disorders
Jun 28, 2024
BACKGROUND: The choroid plexus (CP) is suggested to be closely associated with the neuroinflammation of multiple sclerosis (MS). Segmentation based on deep learning (DL) could facilitate rapid and reproducible volume assessment of the CP, which is cr...
An rs-fMRI based neuroimaging marker for adult absence epilepsy.
Epilepsy research
Jun 28, 2024
OBJECTIVE: Approximately 20-30 % of epilepsy patients exhibit negative findings on routine magnetic resonance imaging, and this condition is known as nonlesional epilepsy. Absence epilepsy (AE) is a prevalent form of nonlesional epilepsy. This study ...
Prostate cancer diagnosis based on multi-parametric MRI, clinical and pathological factors using deep learning.
Scientific reports
Jun 28, 2024
Prostate cancer is one of the most common and fatal diseases among men, and its early diagnosis can have a significant impact on the treatment process and prevent mortality. Since it does not have apparent clinical symptoms in the early stages, it is...
Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?
European radiology
Jun 27, 2024
OBJECTIVE: To review the components of past and present active surveillance (AS) protocols, provide an overview of the current studies employing artificial intelligence (AI) in AS of prostate cancer, discuss the current challenges of AI in AS, and of...
Medical image registration via neural fields.
Medical image analysis
Jun 27, 2024
Image registration is an essential step in many medical image analysis tasks. Traditional methods for image registration are primarily optimization-driven, finding the optimal deformations that maximize the similarity between two images. Recent learn...
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