OBJECTIVES: The aim of this study was to develop and validate a deep learning-based algorithm (DLA) for automatic detection and grading of motion-related artifacts on arterial phase liver magnetic resonance imaging (MRI).
AJR. American journal of roentgenology
Aug 31, 2022
CT-based body composition (BC) measurements have historically been too resource intensive to analyze for widespread use and have lacked robust comparison with traditional weight metrics for predicting cardiovascular risk. The aim of this study was ...
Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relationships between different images. In this paper, we propose deep relation learning for regression, aiming to learn diffe...
OBJECTIVES: To investigate a deep learning reconstruction algorithm to reduce the time of synthetic MRI (SynMRI) scanning on the breast and improve the image quality.
AJR. American journal of roentgenology
Aug 24, 2022
CT examinations contain opportunistic body composition data with potential prognostic utility. Previous studies have primarily used manual or semiautomated tools to evaluate body composition in patients with colorectal cancer (CRC). The purpose of ...
Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at imaging. Purpose To develop and validate a DL-based approach for automatic identification of patients with various solid and cystic pancreatic neoplasms at ab...
Journal of magnetic resonance imaging : JMRI
Aug 22, 2022
Rectal cancer (RC) accounts for approximately one-third of colorectal cancer (CRC), with death rates increasing in patients younger than 50 years old. Magnetic resonance imaging (MRI) is routinely performed for tumor evaluation. However, the semantic...
PURPOSE: Few data exist regarding the functional outcomes of robot-assisted radical cystectomy (RARC) with intracorporeal orthotopic neobladder. The aim of this study was to evaluate the urodynamic and functional outcomes in patients undergoing RARC ...
BACKGROUND: Ureteral injury and vaginal fistula are common complications after surgical treatment and radiotherapy of gynecological tumor. Ureteral injury in duplex system is more challenging and rarely reported. OBJECTIVE: We report our surgical tec...
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