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Fang-Cheng Yeh

  • MD PhD
  • Assistant Professor
  • University of Pittsburgh
  • 25h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 2400CitationsNumber of citations received by Fang-Cheng's publications. Updated daily.


Fang-Cheng (Frank) Yeh, MD, PhD, joined the Department of Neurological Surgery at the University of Pittsburgh in July of 2016 as an assistant professor. Prior to joining the University of Pittsburgh, Dr. Yeh received his MD degree from National Taiwan University and completed his PhD study in biomedical engineering at Carnegie Mellon University in 2014. Dr. Yeh is currently working on diffusion MRI and its role as image biomarkers for neuropsychiatric disorders. His research focused on novel applications of computational methods to brain connectome research, a challenging field with a lot of known unknowns and unsolved questions that require extensive technological development. He has developed several diffusion MRI methods and applied them to both clinical and translational studies. Dr. Yeh developed High Definition Fiber Tracking (HDFT), an in-vivo diffusion MRI fiber tracking method powered by Dr. Yeh’s work on generalized q-sampling imaging and its derived tracking method. In 2015, the International Society for Magnetic Resonance in Medicine (ISMRM) held an open competition to examine the performance of different diffusion MRI fiber tracking pipelines. Dr. Yeh’s method achieved the highest valid connection score (92.49%, ID:03) among 96 different approaches submitted by a total of 20 groups all over the world. Dr. Yeh is known for his development of DSI Studio, an integrated platform for diffusion MRI analysis, fiber tracking, and 3D tractography visualization. Since its debut in 2008, DSI Studio has been downloaded more than 20,000 times. In 2015 alone, DSI Studio has facilitated more than 50 peer-reviewed publications. These journal papers are published in top-tier journals. DSI Studio provides the core technique for High Definition Fiber Tracking (HDFT), which has been widely used by many research groups to investigate how major fiber pathways are affected by neurological and psychiatric diseases. Dr. Yeh also developed WS-Recognizer, an open-source quantitative pathology tool that analyzes whole slide images and automatically recognizes targets. WS-Recognizer has been used to correlate pathology finding with MRI and visualize tissue characteristics in a panoramic view across the entire tissue section.

Research interests

Recent publications

  • Tract-specific and region of interest analysis of corticospinal tract integrity in subcortical ischemic stroke: Reliability and correlation with motor function of affected lower extremity

    • Tang P
    • Ko Y
    • Luo Z
    • et al.
  • Cell-competition algorithm: A new segmentation algorithm for multiple objects with irregular boundaries in ultrasound images

    • Chen C
    • Chou Y
    • Chen C
    • et al.

Professional experience

Assistant Professor

University of Pittsburgh

July 2016 - Present


Carnegie Mellon University

June 2014 - June 2016(2 years)



Carnegie Mellon Univ.

August 2009 - May 2014(5 years)


National Taiwan University, College of Medicine

September 1998 - June 2006(8 years)

Co-authors (261)

  • Ian Nimmo-Smith