Hu, Jason
Image reconstruction
(co-advised with Liyue Shen, ECE)
Honorable Mention for NSF GRFP 2024
Jacobson, Andi
MRI
(co-advised with Jon-Nielsen, Radiology)
Honorable Mention for NSF GRFP 2024
Jia, Yixuan (Isaac)
SPECT imaging;
imaging using machine learning methods
(co-advised with Qing Qu, ECE)
Jones, Robert
MRI
(co-advised with James Balter and Yue Cao, Radiation Oncology)
Kardonik, Sofia
MRI
(co-advised with Doug Noll, BME)
Murguia, Amaya
Quantitative MRI for neuroimaging
(co-advised with Jon-Nielsen, Radiology)
Salazar Cavazos, Javier
Heteroscedastic data analysis
(co-advised with Laura Balzano, ECE)
2021 Rackam Merit Fellow
Xiang, Haowei
MRI
(co-advised with Doug Noll, BME)
Yu, Hongze
Quantitative MRI
(co-advised with Yun Jiang, Radiology)
Tao Hong
2021-
ASL MRI / optimization / machine learning / compressed sensing
Co-mentored with Prof.
Luis Hernandez
Rodrigo Lobos
2023-
MRI
Co-mentored with Profs. Doug Noll
and Zhongming Liu
Anastasia Visheratina
2023-
Eric and Wendy Schmidt AI in Science Postdoctoral Fellow
Nanoscience / Materials Science / Machine learning / Computer vision
Co-mentored with Prof.
Nicholas Kotov,
Department of Chemical Engineering
Xu, Xiaojian
2022-
Inverse problems