2 papers
eess.IV2024
The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities
Natalia Konovalova, Aniket Tolpadi, Felix Liu +8
This study investigates the relationship between deep learning (DL) image reconstruction quality and anomaly detection performance, and evaluates the efficacy of an artificial inte…
cs.CV2023
Technical Note: Feasibility of translating 3.0T-trained Deep-Learning Segmentation Models Out-of-the-Box on Low-Field MRI 0.55T Knee-MRI of Healthy Controls
Rupsa Bhattacharjee, Zehra Akkaya, Johanna Luitjens +4
In the current study, our purpose is to evaluate the feasibility of applying deep learning (DL) enabled algorithms to quantify bilateral knee biomarkers in healthy controls scanned…