Mahdieh Kazemimoghadam, Ph.D. Instructor School Medical School Department Radiation Oncology Biography Mahdieh Kazemimoghadam, Ph.D., is an Instructor of Radiation Oncology at UT Southwestern Medical Center. She is part of the Department of Radiation Oncology’s Division of Medical Physics & Engineering and specializes in machine learning, deep learning, and artificial intelligence-based algorithms to improve patient care and to accommodate automating clinical workflow. Dr. Kazemimoghadam earned her doctorate degree in biomedical engineering from UT Dallas. Following graduation, she started a postdoctoral research position at UT Southwestern in the Medical Artificial Intelligence and Automation Lab (MAIA). Her research interests include medical image segmentation, deep learning in healthcare, and integrating artificial intelligence into clinical workflow. Research Interest Artificial intelligence in medicine Deep learning and predictive models Medical image segmentation Publications Leveraging global binary masks for structure segmentation in medical images Kazemimoghadam M, Yang Z, Chen M, Ma L, Lu W, Gu X Physics in medicine and biology 2023 Sep 68 A deep learning approach for automatic delineation of clinical target volume in stereotactic partial breast irradiation (S-PBI) Kazemimoghadam M, Yang Z, Chen M, Rahimi A, Kim N, Alluri P, Nwachukwu C, Lu W, Gu X Physics in medicine and biology 2023 May 68 Ensemble learning for glioma patients overall survival prediction using pre-operative MRIs Yang Z, Chen M, Kazemimoghadam M, Ma L, Stojadinovic S, Wardak Z, Timmerman R, Dan T, Lu W, Gu X Physics in medicine and biology 2022 Dec 67 An Activity Recognition Framework for Continuous Monitoring of Non‐Steady‐State Locomotion of Individuals with Parkinson’s Disease Kazemimoghadam M, Fey NP Applied Sciences (Switzerland) 2022 May 12 Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation Yang Z, Chen M, Kazemimoghadam M, Ma L, Stojadinovic S, Timmerman R, Dan T, Wardak Z, Lu W, Gu X Physics in medicine and biology 2022 Jan 67 Saliency-guided deep learning network for automatic tumor bed volume delineation in post-operative breast irradiation Kazemimoghadam M, Chi W, Rahimi A, Kim N, Alluri P, Nwachukwu C, Lu W, Gu X Physics in medicine and biology 2021 Sep 66 Continuous Classification of Locomotion in Response to Task Complexity and Anticipatory State Kazemimoghadam M, Fey NP Frontiers in Bioengineering and Biotechnology 2021 Apr 9 Biomechanical signals of varied modality and location contribute differently to recognition of transient locomotion Kazemimoghadam M, Fey NP Sensors (Switzerland) 2020 Sep 20 1-13 Body Segment Mechanical Signal Contributions to Continuous Prediction of Locomotor Transitions Performed under Varying Anticipation Kazemimoghadam M, Fey NP 2019 Jul 5331-5334 Continuous Classification of Locomotor Transitions Performed under Altered Cutting Style, Complexity and Anticipation Kazemimoghadam M, Li W, Fey N 2018 Oct 972-977 Results 1-10 of 13 1 2 Next Last Professional Associations/Affiliations American Association of Physicists in Medicine (2020)
