Assistant Professor of Radiology

Email: jconklin1@mgh.harvard.edu

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Recent Publications

• Gallo-Bernal S, Pena-Trujillo V, Shoaib N, Machado-Rivas F, Victoria T, Khadir R, Milshteyn E, Guidon A, Conklin J, Gee MS. Deep learning reconstruction improves appendix visualization on pediatric magnetic resonance imaging (MRI): a single-center experience. Pediatr Radiol. 2026 Jun 06.
• Chiang CH, Buathong S, Hajati A, Tabari A, Lo WC, Nickel D, Clifford B, Sellers R, Cauley SF, Conklin J, Huang SY. Clinical Evaluation of Deep Learning-Reconstructed Postcontrast 3D T1-Weighted Volume Interpolated Breath-Hold Examination (VIBE) Compared with Standard VIBE for Detection of Internal Auditory Canal Lesions. AJNR Am J Neuroradiol. 2026 Jun 03. 47(6):1635-1642
• Hajati A, Chiang CH, Buathong S, Tabari A, Yee S, Polak D, Splitthoff DN, Clifford B, Lo WC, Huang Y, Cauley SF, Conklin JM, Huang SY. Clinical Evaluation of Scout Accelerated Motion Estimation and Reduction (SAMER) Motion-Corrected 2D T2-Weighted TSE 3T Brain MRI in the Neurologic Intensive Care Unit. AJNR Am J Neuroradiol. 2026 Apr 02. 47(4):972-979
• Ghatak A, Newbury-Chaet I, Mercaldo SF, Chin JK, Halle MA, L'Italien E, MacDonald AL, Schultz AS, Buch K, Conklin J, Mehan WA, Pomerantz S, Rincon S, Bizzo BC, Hillis JM. Evaluation of an artificial intelligence model for the identification of obstructive hydrocephalus on computed tomography of the head. Eur Radiol. 2026 Jun. 36(6):5032-5042
• Fujita S, Polak D, Nickel D, Splitthoff DN, Huang Y, Gil N, Buathong S, Chiang CH, Lo WC, Clifford B, Cauley SF, Conklin J, Huang SY. Motion-Informed 3D Deep Learning Reconstruction in Patients with Cognitive Impairment. AJNR Am J Neuroradiol. 2026 Feb 03. 47(2):446-453