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Ghazal Azarfar

Showing results (1-10 of 9) with videos related to

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Frontiers in Transplantation|January 21, 2026
2024 transplant AI symposium: key AI models shaping the future of transplant careAnnabel Koivu, Ghazal Azarfar, Saba Maleki, et al.
International Journal of Computer Assisted Radiology and Surgery|July 7, 2023
Deep learning-based age estimation from chest CT scansGhazal Azarfar, Seok-Bum Ko, Scott J Adams, et al.
International Journal of Computer Assisted Radiology and Surgery|March 22, 2023
Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic reviewGhazal Azarfar, Seok-Bum Ko, Scott J Adams, et al.
Transplant International : Official Journal of the European Society for Organ Transplantation|February 27, 2026
Machine Learning-Based Evaluation of Combined EBV and CMV Serostatus as Predictors of Post-Transplant Lymphoproliferative DisorderGhazal Azarfar, Muath A M Alotaibi, Yingji Sun, et al.
Scientific Reports|June 25, 2021
Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO<sub>2</sub> treatmentGhazal Azarfar, Ebrahim Aboualizadeh, Simona Ratti, et al.
American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons|December 6, 2024
Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipientsGhazal Azarfar, Yingji Sun, Elisa Pasini, et al.
The Analyst|September 4, 2018
Estimating and correcting interference fringes in infrared spectra in infrared hyperspectral imagingGhazal Azarfar, Ebrahim Aboualizadeh, Nicholas M Walter, et al.
The Lancet. Digital Health|December 12, 2025
Responsible adoption of multimodal artificial intelligence in health care: promises and challengesGhazal Azarfar, Sara Naimimohasses, Sirisha Rambhatla, et al.
The Lancet. Digital Health|April 8, 2026
A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort studyBima J Hasjim, Ghazal Azarfar, Frank G Lee, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Transplantation|January 21, 2026
2024 transplant AI symposium: key AI models shaping the future of transplant careAnnabel Koivu, Ghazal Azarfar, Saba Maleki, et al.
International Journal of Computer Assisted Radiology and Surgery|July 7, 2023
Deep learning-based age estimation from chest CT scansGhazal Azarfar, Seok-Bum Ko, Scott J Adams, et al.
International Journal of Computer Assisted Radiology and Surgery|March 22, 2023
Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic reviewGhazal Azarfar, Seok-Bum Ko, Scott J Adams, et al.
Transplant International : Official Journal of the European Society for Organ Transplantation|February 27, 2026
Machine Learning-Based Evaluation of Combined EBV and CMV Serostatus as Predictors of Post-Transplant Lymphoproliferative DisorderGhazal Azarfar, Muath A M Alotaibi, Yingji Sun, et al.
Scientific Reports|June 25, 2021
Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO<sub>2</sub> treatmentGhazal Azarfar, Ebrahim Aboualizadeh, Simona Ratti, et al.
American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons|December 6, 2024
Using machine learning for personalized prediction of longitudinal coronavirus disease 2019 vaccine responses in transplant recipientsGhazal Azarfar, Yingji Sun, Elisa Pasini, et al.
The Analyst|September 4, 2018
Estimating and correcting interference fringes in infrared spectra in infrared hyperspectral imagingGhazal Azarfar, Ebrahim Aboualizadeh, Nicholas M Walter, et al.
The Lancet. Digital Health|December 12, 2025
Responsible adoption of multimodal artificial intelligence in health care: promises and challengesGhazal Azarfar, Sara Naimimohasses, Sirisha Rambhatla, et al.
The Lancet. Digital Health|April 8, 2026
A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort studyBima J Hasjim, Ghazal Azarfar, Frank G Lee, et al.
Pageof 1