Lin Yang, Ph.D.

Lin Yang
Lin Yang, Ph.D.
Associate Professor
Primary Faculty
Imaging informatics, biomedical image analysis, machine learning, and computer aided diagnosis
1064 Center Drive, NEB 364, PO Box 116131, Gainesville, FL 32611
Office Phone: 
(352) 294-2228
Office Fax: 
(352) 273-9221
B.S., Electrical and Computer Engineering, Xian Jiaotong University, 1999
M.S., Electrical and Computer Engineering, Xian Jiaotong University, 2002
Ph.D., Electrical and Computer Engineering, Rutgers University, 2009

Research Summary: 

Dr. Yang is the founder of the Biomedical Image Computing and Imaging Informatics (BICI2) lab. His major research interests are focus on biomedical image analysis and imaging informatics, computer vision, biomedical informatics and machine learning. He also is working on highperformance computing and computed-aided health care and information technology using big data for personalized/precise medicine.

Honors and Awards:

• Biomedical Imaging Technology Study Section, NIH Center for Scientific Review, 2016
• MICCAI Young Scientist Best Paper Award, 2015
• Young Investigator Paper and Travel Award, Sixth North America Neuroendocrine Tumor Society (NANETS) Conference, 2014
• Young Investigator Paper and Travel Award, European Neuroendocrine Tumor Society (ENETS) Conference as the selected representatives of NANETS (one of only three representatives for North America), 2014
• NIH Young Investigator Paper and Travel Award, International Symposium on Biomedical Imaging (ISBI), 2008

Selected Publications:

Google Scholar Citations Link

Fuyong Xing, Hai Su, Janna Neltner, Lin Yang, Automatic Ki-67 counting using robust cell detection and online dictionary learning, IEEE Transaction on Biomedical Engineering (TBME), Vol. 61, No. 3, pp. 859-870, 2013

Hai Su, Fuyong Xing, Jonah Lee, Charlotte Peterson, Lin Yang, Automatic myonuclear detection in isolated single muscle fiber using robust ellipse fitting and sparse optimization, Accepted to IEEE/ACM Transaction on Computational Biology and Bioinformatics (TCBB), 2013

Baiyang Liu, Junzhou Huang, Casimir Kulikowski, Lin Yang, Robust visual tracking using local sparse appearance model and K-Selection, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 35, No. 12, pp. 2968-2981, 2013

Xin Qi, Fuyong Xing, David J. Foran and Lin Yang, Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set, IEEE Transaction on Biomedical Engineering (TBME), Vol. 59, No. 3, pp. 754-765, 2012

Lin Yang, Bogdan Georgescu, Yefeng Zheng, Wang Yang, Peter Meer and Dorin Comaniciu, Prediction based collaborative trackers (PCT): A robust and accurate approach toward 3D medical object tracking, IEEE Transaction on Medical Imaging (TMI), Vol. 30, No. 11, pp. 1921-1932, 2011