A photo of Samuel Brady.

Samuel L. Brady, PhD


  • Clinical Medical Physicist, Department of Radiology and Medical Imaging

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

Application of reference air kerma alert levels for pediatric fluoroscopic examinations. Somasundaram, E; Brady, SL; Strauss, KJ. Journal of Applied Clinical Medical Physics. 2022.

Defining Normal Ranges of Skeletal Muscle Area and Skeletal Muscle Index in Children on CT Using an Automated Deep Learning Pipeline: Implications for Sarcopenia Diagnosis. Somasundaram, E; Castiglione, JA; Brady, SL; Trout, AT. American Journal of Roentgenology. 2022; 219:326-336.

Simulated Reduced-Count Whole-Body FDG PET: Evaluation in Children and Young Adults Imaged on a Digital PET Scanner. Alves, VD P V; Brady, S; Ata, NA; Li, Y; MacLean, J; Zhang, B; Sharp, SE; Trout, AT. American Journal of Roentgenology. 2022.

Reducing Pediatric Intraoral Radiography Radiation Dose Using Reduced-Power Dental X-Ray Units: A Randomized Trial. Cully, JL; Somasundaram, E; Campbell, R; Brady, SL; Gosnell, ES; Specht, S; Candon, LA; Strauss, KJ. Journal of Dentistry for Children. 2022; 89:95-103.

Detection of urinary tract calculi on CT images reconstructed with deep learning algorithms. Thapaliya, S; Brady, SL; Somasundaram, E; Anton, CG; Coley, BD; Towbin, AJ; Zhang, B; Dillman, JR; Trout, AT. Abdominal Radiology. 2022; 47:265-271.

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.