Department of Radiology

Publications

2023

Kiser K, Zhang J, Qayyum S, W Bracken C, Kim SG. Simultaneous estimation of the cellular water exchange rate, intracellular volume fraction, and longitudinal relaxation rate in cancer cells. NMR Biomed. 2023;36(7):e4914.

Pham N, Hill V, Rauschecker A, Lui Y, Niogi S, Fillipi CG, et al. Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System. AJNR Am J Neuroradiol. 2023;44(5):E21-E28.

Jeitner TM, Azcona JA, Ables GP, Cooke D, Horowitz MC, Singh P, et al. Cystine rather than cysteine is the preferred substrate for β-elimination by cystathionine γ-lyase: implications for dietary methionine restriction. Geroscience. 2023.

Carnevale JA, Pandey A, Ramirez-Loera C, Goldberg JL, Bander ED, Henderson F, et al. Endonasal, supraorbital, and transorbital approaches: minimal access endoscope-assisted surgical approaches for meningiomas in the anterior and middle cranial fossae. J Neurosurg. 2023:1-9.

Solomon E. A Phase II Trial Evaluating Rapid Mid-Treatment Nodal Shrinkage to Select for Adaptive Deescalation in p16+ Oropharyngeal Cancer Patients Undergoing Definitive Chemoradiation.. 2023.

Ahad A, Saeed HK, Del Solar V, López-Hernández JE, Michel A, Mathew J, et al. Shifting the Antibody-Drug Conjugate Paradigm: A Trastuzumab-Gold-Based Conjugate Demonstrates High Efficacy against Human Epidermal Growth Factor Receptor 2-Positive Breast Cancer Mouse Model. ACS Pharmacol Transl Sci. 2023;6(12):1972-1986.

Guri A, Groner L, Escalon J, Saleh A. Algorithmic approach in the management of COVID-19 patients with residual pulmonary symptoms. Ann Thorac Med. 2023;18(4):167-172.

Sista AK. Impact of the IR/DR Primary Specialty Certification on Scientific Research in the Field. J Vasc Interv Radiol. 2023;34(12):2076-2079.

Ouyang J, Zhao Q, Adeli E, Peng W, Zaharchuk G, Pohl KM. LSOR: Longitudinally-Consistent Self-Organized Representation Learning. Med Image Comput Comput Assist Interv. 2023;14220:279-289.

Cao E, Ma D, Nayak S, Duong TQ. Deep learning combining FDG-PET and neurocognitive data accurately predicts MCI conversion to Alzheimer's dementia 3-year post MCI diagnosis. Neurobiol Dis. 2023;187:106310.