A photo of Samuel Brady.

Clinical Medical Physicist, Department of Radiology and Medical Imaging

Associate Professor, UC Department of Radiology

513-803-7496

My Biography & Research

Biography

As a medical physicist, Samuel Brady, PhD's, primary experience lies in developing and maintaining protocols for imaging efficacy and safety. His particular interest lies in dose-minimization for CT imaging techniques. This is a particularly important concept in pediatric radiology, where tissues are still developing and are thus especially susceptible to radiation damage.

Academic Affiliation

Associate Professor, UC Department of Radiology

Clinical Divisions

Radiology

Research Divisions

Radiology

My Education

BS: Physics, Utah Valley University, Orem, UT.

MS: Medical Physics, Duke University, Durham, NC.

PhD: Medical Physics, Duke University, Durham, NC.

My Publications

Current and emerging artificial intelligence applications for pediatric abdominal imaging. Dillman, JR; Somasundaram, E; Brady, SL; He, L. Pediatric Radiology. 2021.

Effect of Propranolol on 18F-Fluorodeoxyglucose Uptake in Brown Adipose Tissue in Children and Young Adults with Neoplastic Diseases. Brady, SL; Wong, KK; Doubrovin, M; Han, Y; Li, Y; Wu, S; Hossain, AK M M; Chism, CB; Naik, MH; Rossi, M; et al. Molecular Imaging and Biology. 2021; 23:260-269.

DeepLiverNet: a deep transfer learning model for classifying liver stiffness using clinical and T2-weighted magnetic resonance imaging data in children and young adults. Li, H; He, L; Dudley, JA; Maloney, TC; Somasundaram, E; Brady, SL; Parikh, NA; Dillman, JR. Pediatric Radiology. 2021; 51:392-402.

Automated Segmentation of Abdominal Skeletal Muscle on Pediatric CT Scans Using Deep Learning. Castiglione, J; Somasundaram, E; Gilligan, LA; Trout, AT; Brady, S. Radiology. Artificial intelligence.. 2021; 3.

Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction. Brady, SL; Trout, AT; Somasundaram, E; Anton, CG; Li, Y; Dillman, JR. Radiology. 2021; 298:180-188.

Achievable dose reductions with gonadal shielding for children and adults during abdominal/pelvic radiographic examinations: A Monte Carlo simulation. Somasundaram, E; Brady, SL; Strauss, KJ. Medical Physics. 2020; 47:5514-5522.

Automatic Detection of Inadequate Pediatric Lateral Neck Radiographs of the Airway and Soft Tissues using Deep Learning. Somasundaram, E; Dillman, JR; Crotty, EJ; Trout, AT; Towbin, AJ; Anton, CG; Logan, A; Wieland, CA; Felekey, S; Coley, BD; et al. Radiology. Artificial intelligence.. 2020; 2.

Improved Estimates of Trunk and Head CT Radiation Dose: Development of Size-Specific Dose Estimate. Strauss, KJ; McKenney, SE; Brady, SL. Journal of the American College of Radiology. 2020; 17:560-562.

Analysis of quantitative [I-123] mIBG SPECT/CT in a phantom and in patients with neuroblastoma. Brady, SL; Shulkin, BL. EJNMMI Physics. 2019; 6.

Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233. Samei, E; Bakalyar, D; Boedeker, KL; Brady, S; Fan, J; Leng, S; Myers, KJ; Popescu, LM; Ramirez Giraldo, JC; Ranallo, F; et al. Medical Physics. 2019; 46:e735-e756.