Diagnostic and interventional radiology (Ankara, Turkey)
Nov 6, 2025
PURPOSE: To assess the performance and feasibility of generative deep learning in enhancing the image quality of T2-weighted (T2W) prostate magnetic resonance imaging (MRI).
The American journal of tropical medicine and hygiene
Nov 5, 2025
Snakebites pose a significant global health challenge. The timely and accurate identification of snake species is essential for guiding antivenom administration. Our goal was to evaluate the effectiveness of a machine learning model for classifying s...
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 5, 2025
Due to the inherent specificity and high sensitivity, biomedical detections based on Surface-Enhanced Raman Scattering (SERS) technology have garnered increasing attention. In the SERS detection process, fabricating a highly sensitive SERS substrate ...
AJNR. American journal of neuroradiology
Nov 3, 2025
BACKGROUND AND PURPOSE: Deep learning (DL) reconstruction has been successful in realizing otherwise impracticable acceleration factors and improving image quality in conventional MRI field strengths; however, there has been limited application to ul...
Fourier ptychography microscopy (FPM) has made significant progress since its invention in 2013, thanks to its adaptable nature, high resolution, and vast field-of-view capabilities. FPM is used in various medical applications across multiple optical...
International journal of neural systems
Nov 1, 2025
Although a variety of deep learning-based methods have been introduced for Salient Object Detection (SOD) to RGB and Depth (RGB-D) images, existing approaches still encounter challenges, including inadequate cross-modal feature fusion, significant er...
PURPOSE: Chemical exchange saturation transfer (CEST) imaging is highly sensitive to patient motion, which can compromise the reliability of quantitative molecular analysis. This study aims to develop and validate a deep learning-based motion correct...
International journal of computer assisted radiology and surgery
Nov 1, 2025
PURPOSE: Accurate patient dosimetry estimates from fluoroscopically-guided interventions (FGIs) are hindered by limited knowledge of the specific anatomy that was irradiated. Current methods use data reported by the equipment to estimate the patient ...
BACKGROUND: MRI sequence classification becomes challenging in multicenter studies due to variability in imaging protocols, leading to unreliable metadata and requiring labor-intensive manual annotation. While numerous automated MRI sequence identifi...
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