Zhongnan Fang

According to our database, Zhongnan Fang authored at least 5 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Merlin: A Vision Language Foundation Model for 3D Computed Tomography.

Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari

CoRR, 2024

2018

Deep Learning Super-Resolution Enables Rapid Simultaneous Morphological and Quantitative Magnetic Resonance Imaging.

Akshay Chaudhari, Zhongnan Fang, Jin Hyung Lee, Garry Gold, Brian A. Hargreaves

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

2017

Comparison of fMRI analysis methods for heterogeneous BOLD responses in block design studies.

Jia Liu, Ben A. Duffy, David Bernal-Casas, Zhongnan Fang, Jin Hyung Lee

NeuroImage, 2017

2016

Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions.

Srikanth Ryali, Yen-Yu Ian Shih, Tianwen Chen, John Kochalka, Daniel L. Albaugh, Zhongnan Fang, Kaustubh Supekar, Jin Hyung Lee, Vinod Menon

NeuroImage, 2016

2015

Optogenetic fMRI reveals distinct, frequency-dependent networks recruited by dorsal and intermediate hippocampus stimulations.

Andrew J. Weitz, Zhongnan Fang, Hyun Joo Lee, Robert S. Fisher, Wesley C. Smith, ManKin Choy, Jia Liu, Peter Lin, Matthew Rosenberg, Jin Hyung Lee

NeuroImage, 2015