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Showing results 1 to 6 of 6

1
A deep learning approach for robust and accurate deconvolution of DSC MRI perfusion calculation

Asaduddin, Muhammad; Kim, Eung Yeop; Park, Sung-Hong, 2023 ISMRM & ISMRT Annual Meeting & Exhibition , pp.2763, International Society for Magnetic Resonance in Medicine, 2023-06-06

2
Acquiring perfusion maps from contrast-enhanced MRA using deep learning approaches

Asaduddin, Muhammad; Roh, Hong Gee; Kim, Hyun Jeong; Kim, Eung Yeop; Park, Sung-Hong, 2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, pp.1587, International Society for Magnetic Resonance in Medicine, 2022-05-10

3
Generative diffusion model for DSC MRI artifact correction

Asaduddin, Muhammad; Kim, Eung Yeop; Park, Sung-Hong, 2023 ISMRM & ISMRT Annual Meeting & Exhibition , pp.2946, International Society for Magnetic Resonance in Medicine, 2023-06-06

4
Mapping Cerebral Perfusion from Time-Resolved Contrast-enhanced MR Angiographic Data

Asaduddin, Muhammad; Do, Won-Joon; Kim, Eung Yeop; Park, Sung-Hong, MAGNETIC RESONANCE IMAGING, v.61, pp.143 - 148, 2019-09

5
Perfusion Maps Acquired From Dynamic Angiography MRI Using Deep Learning Approaches

Asaduddin, Muhammad; Roh, Hong Gee; Kim, Hyun Jeong; Kim, Eung Yeop; Park, Sung-Hong, JOURNAL OF MAGNETIC RESONANCE IMAGING, v.57, no.2, pp.456 - 469, 2023-02

6
Three compartment model approach to acquiring kinetic information of reactive contrast agent for MRI = MRI 반응성 조영제의 역학 정보를 얻기위한 3구획 모델 접근법link

Asaduddin, Muhammad; Park, Sung-Hong; et al, 한국과학기술원, 2020

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