Jie Deng, Ph.D.

Jie Deng, Ph.D., is a Professor in the Department of Radiation Oncology’s Division of Medical Physics & Engineering.

Prior to joining UT Southwestern, Dr. Deng was an Associate Professor of Diagnostic Radiology at Northwestern University and Rush University Medical Center. She is a certified magnetic resonance imaging (MRI) medical physicist by the American Board of Medical Physics.

Dr. Deng received her Ph.D. in biomedical engineering from Northwestern University. She also received her Master of Science in Law degree from Northwestern Pritzker Law School.

Dr. Deng has extensive clinical and research experience in MRI physics, quantitative MRI, oncological imaging, imaging processing, and AI applications in medical imaging. Specifically, she has been continuously working on clinical implementation, development, and improvement of advanced MRI technologies in tissue characterization, functional MRI for therapeutic response evaluation, AI-assisted disease diagnosis, and image quality improvement.

• Adaptive radiotherapy
• Artificial intelligence in modern radiation therapy
• Functional oncological MRI
• MRI-guided radiation therapy

Bony structure enhanced synthetic CT generation using Dixon sequences for pelvis MR-only radiotherapy

Liang X, Yen A, Bai T, Godley A, Shen C, Wu J, Meng B, Lin MH, Medin P, Yan Y, Owrangi A, Desai N, Hannan R, Garant A, Jiang S, Deng J Medical physics 2023 Dec 50 7368-7382

Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a downsampling-invariant deformable registration (D2R) model

Xiao H, Han X, Zhi S, Wong YL, Liu C, Li W, Liu W, Wang W, Zhang Y, Wu H, Lee HF, Cheung LY, Chang HC, Liao YP, Deng J, Li T, Cai J Radiotherapy and Oncology 2023 Dec 189

Automatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model

Vahedifard F, Liu X, Adepoju JO, Zhao S, Ai HA, Marathu KK, Supanich M, Byrd SE, Deng J American Journal of Neuroradiology 2023 Oct 44 1191-1200

Ensemble learning and personalized training for the improvement of unsupervised deep learning-based synthetic CT reconstruction

Olberg S, Choi BS, Park I, Liang X, Kim JS, Deng J, Yan Y, Jiang S, Park JC Medical physics 2023 Mar 50 1436-1449

Image-based motion artifact reduction on liver dynamic contrast enhanced MRI

Wu Y, Liu J, White GM, Deng J Physica Medica 2023 Jan 105

MR image reconstruction from undersampled data for image-guided radiation therapy using a patient-specific deep manifold image prior

Grandinetti J, Gao Y, Gonzalez Y, Deng J, Shen C, Jia X Frontiers in Oncology 2022 Nov 12

Water Specific MRI T1 Mapping for Evaluating Liver Inflammation Activity Grades in Rats With Methionine-Choline-Deficient Diet-Induced Nonalcoholic Fatty Liver Disease

Wan Q, Peng H, Lyu J, Liu F, Cheng C, Qiao Y, Deng J, Zheng H, Wang Y, Zou C, Liu X Journal of Magnetic Resonance Imaging 2022 Nov 56 1429-1436

A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI

Wu Y, Wu J, Dou Y, Rubert N, Wang Y, Deng J Biomedical Signal Processing and Control 2022 Feb 72

Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review

Kunze KN, Rossi DM, White GM, Karhade AV, Deng J, Williams BT, Chahla J Arthroscopy - Journal of Arthroscopic and Related Surgery 2021 Feb 37 771-781

Quantitative magnetic resonance imaging for determining bone marrow fat fraction at 1.5 T and 3.0 T: a technique to noninvasively assess cellularity and potential malignancy of the bone marrow

Samet JD, Deng J, Schafernak K, Arva NC, Lin X, Peevey J, Fayad LM Pediatric radiology 2021 Jan 51 94-102

• American Association of Physicists in Medicine (AAPM) (2016)
• American Society for Radiation Oncology (ASTRO) (2016)
• International Society of Magnetic Resonance in Medicine (ISMRM) (2016)
• Radiological Society of North America (RSNA) (2016)