Publications

Book chapters


  • Khodaei, S., & Keshavarz-Motamed, Z. (2023). Enhancing Medical Imaging with Computational Modeling for Aortic Valve Disease Intervention Planning. In K. Daimi, A. Alsadoon, & S. Seabra Dos Reis (Eds.), Current and Future Trends in Health and Medical Informatics (pp. 19–46). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-42112-9_2
  • B. Rahmatikaregar, S. Shirani, Z. Keshavarz-Motamed. (2022). A review of automatic cardiac segmentation using deep learning and deformable models. CRC press Taylor and Francis Group, 29-82. (Book title: Artificial Intelligence in Healthcare and Medicine; Editors: K. Najarian, D. Kahrobaei, E. Dominguez, R. Soroushmehr; ISBN 9781003120902).

Journal Papers


2024


  • Keshavarz-Motamed, Z. (2024). Ventricular pressure-volume loop and other heart function metrics can elucidate etiology of failure of TAVI and interventions. REC: Interventional Cardiology (English Edition), 13235. https://doi.org/10.24875/RECICE.M23000438 INVITED EDITORIAL
  • Smith, S., Michalski, P., Carette, J., & Keshavarz-Motamed, Z. (2024). State of the Practice for Lattice Boltzmann Method Software. Archives of Computational Methods in Engineering, 31(1), 313–350. https://doi.org/10.1007/s11831-023-09981-2
  • Rahmati, B., Shirani, S., & Keshavarz-Motamed, Z. (2024). Redundant co-training: Semi-supervised segmentation of medical images using informative redundancy. Neurocomputing, 579, 127446. https://doi.org/10.1016/j.neucom.2024.127446

2023


  • Abdelkhalek, M., Bahadormanesh, N., Ganame, J., & Keshavarz-Motamed, Z. (2023). Incremental prognostic value of intensity-weighted regional calcification scoring using contrast CT imaging in TAVR. European Heart Journal – Imaging Methods and Practice, 1(2), qyad027. https://doi.org/10.1093/ehjimp/qyad027
  • Khodaei, S., Garber, L., Abdelkhalek, M., Maftoon, N., Emadi, A., & Keshavarz‐Motamed, Z. (2023). Reducing Long‐Term Mortality Post Transcatheter Aortic Valve Replacement Requires Systemic Differentiation of Patient‐Specific Coronary Hemodynamics. Journal of the American Heart Association, 12(11), e029310. https://doi.org/10.1161/JAHA.123.029310
  • Garber, L., Khodaei, S., Maftoon, N., & Keshavarz-Motamed, Z. (2023). Impact of TAVR on coronary artery hemodynamics using clinical measurements and image‐based patient‐specific in silico modeling. Scientific Reports, 13(1), Article 1. https://doi.org/10.1038/s41598-023-31987-w
  • Bahadormanesh, N., Tomka, B., Abdelkhalek, M., Khodaei, S., Maftoon, N., & Keshavarz-Motamed, Z. (2023). A Doppler-exclusive non-invasive computational diagnostic framework for personalized transcatheter aortic valve replacement. Scientific Reports, 13(1), Article 1. https://doi.org/10.1038/s41598-023-33511-6
  • Khodaei, S., Abdelkhalek, M., Maftoon, N., Emadi, A., & Keshavarz-Motamed, Z. (2023). Early Detection of Risk of Neo-Sinus Blood Stasis Post-Transcatheter Aortic Valve Replacement Using Personalized Hemodynamic Analysis. Structural Heart, 100180. https://doi.org/10.1016/j.shj.2023.100180
  • Abdelkhalek, M., Daeian, M., Chavarria, J., Sellers, S., Gulsin, G., Leipsic, J., Sheth, T., & Keshavarz-Motamed, Z. (2023). Patterns and Structure of Calcification in Aortic Stenosis. JACC: Cardiovascular Imaging, 16(9), 1224–1226. https://doi.org/10.1016/j.jcmg.2023.02.011
  • Abdelkhalek, M., Daeian, M., & Keshavarz-Motamed, Z. (2023). Regional assessment of aortic valve calcification using topographic maps in contrast-enhanced CT: In-vivo sex and severity-based differences in calcific presentation. Quantitative Imaging in Medicine and Surgery, 14(1), 19–19. https://doi.org/10.21037/qims-23-778
  • Bahadormanesh, N., Tomka, B., Kadem, M., Khodaei, S., & Keshavarz-Motamed, Z. (2023). An ultrasound-exclusive non-invasive computational diagnostic framework for personalized cardiology of aortic valve stenosis. Medical Image Analysis, 87, 102795. https://doi.org/10.1016/j.media.2023.102795
  • Rahmati, B., Shirani, S., & Keshavarz-Motamed, Z. (2024). Redundant co-training: Semi-supervised segmentation of medical images using informative redundancy. Neurocomputing, 579, 127446. https://doi.org/10.1016/j.neucom.2024.127446

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