Assistant Professor

University of Kentucky | Biomedical Informatics | Computer Science

PI Mailing Address:
Lin Yang
Division of Biomedical Informatics,
Department of Biostatistics,
Department of Computer Science,
230D Multidisciplinary Science Building,
725 Rose Street,
University of Kentucky,
Lexington, KY, 40536-0082, U. S. A.
Phone: 859-218-2248
Fax: 859-257-9019

BICI2 Lab Mailing Address:
230A, B, C Multidisciplinary Science Building,
725 Rose Street,
Lexington, KY, 40536-0082, U. S. A.
Fax: 859-257-9019

Education

Ph. D., M. S.: Rutgers University | Electrical Computer Engineering
M. S., B. S.: Xian Jiaotong University | Information and Signal Processing

Research Areas:

  1. Biomedical Image Analysis
  2. Imaging Informatics
  3. Computer Vision and Machine Learning

Muscle Image Analysis and Imaging Informatics:

muscle image segmentation results

Robust, Automatic, and High Throughput Image Quantification and Imaging Informatics Tool for Muscle

Related Papers:

  1. Jyoti Mula, Jonah Lee, Fujun Liu, Lin Yang, Charlotte Peterson, "Automatic image analysis of skeletal muscle fibre cross-sectional area", Journal of Applied Physiology (JAP), Vol 114, No. 1, pp. 148-155, 2013
  2. Hai Su, Fuyong Xing, Jonah Lee, Charlotte Peterson, Lin Yang, “Single skeletal muscle fibers using multi-focus image fusion”, International Symposium on Biomedical Imaging (ISBI), 2013
  3. Fujun Liu, Abigail L. Mackey, Ratchakrit Srikuea, Karyn A. Esser, Lin Yang, “Automatic image segmentation of Hemotoxylin and Eosin stained skeletal muscle cross-sections”, Accepted to Journal of Microscopy, 2013
  4. Hai Su, Fuyong Xing, Jonah Lee, Charlotte Peterson, Lin Yang, “Automatic myonuclear detection in isolated single muscle fibers using robust ellipse fitting and two stage sparse optimization”, Accepted to IEEE/ACM Transaction on Computational Biology and Bioinformatics (TCBB), 2013
  5. Lin Yang, Xin Qi, Fuyong Xing, Tahsin Kurc, Joel Saltz, David J. Foran, “Parallel Content Based Sub-image Retrieval Using Hierarchical Searching”, Accepted to Bioinformatics, 2013
  6. Fujun Liu, Christopher S. Fry, Jyothi Mula, Janna R. Jackson, Jonah D. Lee, Charlotte A. Peterson, Lin Yang, “Automated Fiber-type-specific Cross-sectional Area Assessment and Myonuclei Counting in Skeletal Muscle”, Accepted to Journal of Applied Physiology (JAP), 2013

Project website

muscle image segmentation results

Biomedical Image Analysis:

Robust Automatic Detection, Segmentation and Tracking of 3D Deformable Objects: Prediction Based Collaborative Trackers (PCT)

Related Papers:

  1. Lin Yang, Bogdan Georgescu, Yefeng Zheng, Peter Meer and Dorin Comaniciu, "3D Ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers", Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008 (pdf, demo)
  2. 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 (pdf, demo1, demo2, demo3)

Registration Guided Tracking for Lung Tumor

Related Papers:

  1. Baiyang Liu, Lin Yang , Casimir Kulikowski, Leiguang Gong, David J. Foran, Salma J. Jabbour and Ning J. Yue. " Dynamic online registration guided collaborative tracking of lung tumor movement in fluoroscopic videos", IEEE International Symposium on Biomedical Imaging (ISBI), 2011 (pdf, demo)

Multiple Touching Cell Segmentation

Related Papers:

  1. Lin Yang, Oncel Tuzel, Peter Meer and David J. Foran, "Automatic image analysis of histopathology specimens using concave vertex graph", Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2008 (pdf, demo)
  2. Lin Yang, Peter Meer and David J. Foran, "Unsupervised analysis of imaged pathology specimens based on robust estimation and color active contour models", IEEE Trans. on Information Technology in Biomedicine (TITIB), 2005 (pdf)
  3. 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. 754-652, 2012(pdf)

Image Registration Using A Multicore Processor

Related Papers:

  1. Lin Yang, Leiguang Gong, Hong Zhang, John L. Nosher and David J. Foran, "A parallel point matching algorithm for landmark based image registration using a multicore platform", European Conference on Parallel Computing (Euro-par), 2009 (pdf)

Liver Segmentation

Related Papers:

  1. Hong Zhang, Lin Yang, David J. Foran, John Nosher, Peter Yim, "3D segmentation of the liver using free-form deformation based on boosting and deformation gradients", IEEE International Symposium on Biomedical Imaging (ISBI), 2009 (pdf)

Imaging Informatics:

Imaging Informatics System for Breast Cancer

Related Papers:

  1. Lin Yang, Wenjin Chen, Peter Meer, Gratian Salaru, Michael D. Feldman and David J. Foran, "High throughput analysis of breast cancer specimens on the Grid", Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2007. (pdf)
  2. Lin Yang, Wenjin Chen, Peter Meer, Gratian Salaru, Viktors Berstis and David J. Foran, "Virtual microscopy and grid-enabled decision support for large scale analysis of imaged pathology specimens", IEEE Transaction on Informtion Trachnology in Biomedicine (TITIB), Vol. 13, No. 4, 2009 (pdf, demo)
  3. David J. Foran , Lin Yang, Wenjin Chen, Jun Hu, Lauri A. Goodell, Michael Reiss, Fusheng Wang, Tahsin Kurc, Tony Pan, Ashish Sharma, and Joel Saltz. "Image miner: Comparative analysis of tissue microarrays using content based image retrieval, high performance computing, and Grid technology", Journal of American Medical Information Association (JAMIA), Vol. 18, No. 4, pp. 403-415, 2011 (pdf)

Imaging Informatics System for Blood Cancer

Related Papers:

  1. Lin Yang , Oncel Tuzel, Wenjin Chen, Peter Meer, Gratian Salaru, Lauri A. Goodell and David J. Foran, "PathMiner: A web-based tool for computer assisted diagnostics in pathology", IEEE Transaction on Information Technology in Biomedicine (TITIB). Vol. 13, No. 3, pp. 291-299, 2009 (pdf, demo)
  2. David J. Foran, Lin Yang, Oncel Tuzel, Wenjin Chen, Jun Hu, Tahsin Kurc, Renato Ferreira, Joel Saltz, "A caGrid-enabled, learning based image segmentation method for histopathology specimens", IEEE International Symposium on Biomedical Imaging (ISBI), 2009 (pdf)
  3. Oncel Tuzel, Lin Yang , Peter Meer and David J. Foran, "Classification of hematologic malignancies using texton signatures", Pattern Analysis and Applications (PAA), 2007. (pdf)

Computer Vision and Machine Learning:

Sparse Online Collaborative Tracking

Related Papers:

  1. 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 (PAMI), 2012(pdf, website)
  2. 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, 2011 (pdf, demo1, demo2, demo3)
  3. Baiyang Liu, Lin Yang, Junzhou Huang, P. Meer, Leiguang Gong, Casimir Kulikowski, "Robust and fast collaborative tracking with two stage sparse optimization", European Conference on Computer Vision (ECCV), 2010 (pdf, demo1, demo2, demo3, demo4, demo5)
  4. Baiyang Liu, Junzhou Huang, Lin Yang, Casimir Kulikowski. "Robust tracking using local sparse appearance model and K-Selection", Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011 (pdf, demo1, demo2, demo3, demo4, demo5, demo6, demo7, demo8)

Project website

Multiple Object Detection and Recognition

Related Papers:

  1. Lin Yang, Peter Meer and David J. Foran, "Multiple class segmentation using a unified framework over mean-shift patches", Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2007. (pdf)

 

My Links

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