Jonathan Liu, MD

Assistant Professor


Dr. Liu earned his medical degree (MD) at the Keck School of Medicine, University of Southern California and his MS in electrical engineering at Stanford. After an internship in internal medicine at Santa Clara Medical Center, Dr. Liu completed residency at the Mallinckrodt Institute, Washington University followed by a thoracic radiology fellowship at Stanford. He joined the Cardiothoracic Radiology section of the Department of Radiology in 2022

Dr. Liu's clinical and research interests include 3D printing applications in nuclear medicine and artificial intelligence applications in thoracic and cardiovascular radiology. During residency, Dr. Liu was instrumental in a collaborative project at Washington University to introduce radiology into the anatomy curriculum, providing more clinical experiences for medical students earlier in their training. His clinical interests include interstitial lung disease, lung cancer, and vascular imaging.


06/2022 - Thoracic Radiology, Stanford University
06/2021 - Diagnostic Radiology, Mallinckrodt Institute of Radiology
MD, 06/2016 - Medicine, University of Southern California
BS, MS, 06/2009 - Electrical Engineering, Stanford University


Li, Z., Benabdallah, N., Abou, D.S., Baumann, B.C., Dehdashti, F., Ballard, D.H., Liu, J., Jammalamadaka, U., Laforest, R., Wahl, R.L. and Thorek, D.L.. A projection-domain low-count quantitative SPECT method for α-particle emitting radiopharmaceutical therapy. IEEE Transactions on Radiation and Plasma Medical Sciences. 2022.
Liu JA, Yang IY, Tsai EB. Artificial Intelligence (AI) for Lung Nodules, From the AJR Special Series on AI Applications. AJR Am J Roentgenol. 2022 Nov; 219(5):703-712.
Benabdallah N, Scheve W, Dunn N, Silvestros D, Schelker P, Abou D, Jammalamadaka U, Laforest R, Li Z, Liu J, Ballard DH, Maughan NM, Gay H, Baumann BC, Hobbs RF, Rogers B, Iravani A, Jha AK, Dehdashti F, Thorek DLJ. Practical considerations for quantitative clinical SPECT/CT imaging of alpha particle emitting radioisotopes. Theranostics. 2021; 11(20):9721-9737.
Routman DM, Bian SX, Diao K, Liu JL, Yu C, Ye J, Zada G, Chang EL. The growing importance of lesion volume as a prognostic factor in patients with multiple brain metastases treated with stereotactic radiosurgery. Cancer Med. 2018 03; 7(3):757-764.
Donoho DA, Wen T, Liu J, Zarabi H, Christian E, Cen S, Zada G, McComb JG, Krieger MD, Mack WJ, Attenello FJ. The effect of NACHRI children's hospital designation on outcome in pediatric malignant brain tumors. J Neurosurg Pediatr. 2017 Aug; 20(2):149-157.
Bian SX, Routman D, Liu J, Yang D, Groshen S, Zada G, Trakul N, Wong MK, Yu C, Chang EL. Prognostic factors for melanoma brain metastases treated with stereotactic radiosurgery. J Neurosurg. 2016 12; 125(Suppl 1):31-39.
Chung P, Heller JA, Etemadi M, Ottoson PE, Liu JA, Rand L, Roy S. Rapid and low-cost prototyping of medical devices using 3D printed molds for liquid injection molding. J Vis Exp. 2014 Jun 27; (88):e51745.
Etemadi M, Chung P, Heller JA, Liu JA, Rand L, Roy S. Towards BirthAlert--A Clinical Device Intended for Early Preterm Birth Detection. IEEE Trans Biomed Eng. 2013 Dec; 60(12):3484-93.
Etemadi M, Chung P, Heller JA, Liu J, Grossman-Kahn R, Rand L, Roy S. Novel device to trend impedance and fluorescence of the cervix for preterm birth detection. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:176-9.