A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality with PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging

Mohammed Saleh, Mayur Virarkar, Sanaz Javadi, Manoj Mathew, Sai Swarupa Reddy Vulasala, Jong Bum Son, Jia Sun, Ersin Bayram, Xinzeng Wang, Jingfei Ma, Janio Szklaruk, Priya Bhosale

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Fingerprint

Dive into the research topics of 'A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality with PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging'. Together they form a unique fingerprint.

Medicine & Life Sciences