A photo of Samuel Brady.

Samuel L. Brady, PhD


  • Clinical Medical Physicist, Department of Radiology and Medical Imaging
  • Associate Professor, UC Department of Radiology

About

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.

Publications

Comparison of 0.3-mSv CT to Standard-Dose CT for Detection of Lung Nodules in Children and Young Adults With Cancer. Thapaliya, S; Gilligan, LA; Brady, SL; Anton, CG; Crotty, EJ; Nasser, MP; Geller, JI; Pressey, JG; Zhang, B; Dillman, JR; et al. American Journal of Roentgenology. 2021; 217:1444-1451.

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.