Associate Professor

J. Crayton Pruitt Family Department of Biomedical Engineering (BME)

Department of Electrical and Computer Engineering (ECE)

Department of Computer and Information Science and Engineering (CISE)

University of Florida | J. Crayton Pruitt Family Department of Biomedical Engineering | Department of Electrical and Computer Engineering | Department of Computer and Information Science and Engineering

PI Mailing Address (please use the exact mailing address for all the mails. Don't use the BICI2 office and lab addresses):
Dr. Lin Yang
J. Crayton Pruitt Family Department of Biomedical Engineering,
University of Florida,
1275 Center Drive,
Biomedical Sciences Building JG-56, P. O. Box 116131, Gainesville, FL, 32611-6131, U. S. A.
Phone: 352-294-2228
Fax: 352-273-9221

BICI2 Lab:
350 and 364 New Engineering Building,
1064 Center Drive,
Gainesville, FL, 32611-6130, U. S. A.
Phone: 352-294-2229
Fax: 352-273-9221

Education

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

Publication

Selected Peer Reviewed Journals:

  1. Fuyong Xing, Yuanpu Xie, Hai Su, Fujun Liu, Lin Yang, "Deep learning in microscopic image analysis: A survey", accepted to IEEE Transaction on Neural Network and Learning System (TNNLS), 2017
  2. Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang, "Supervised graph hashing for histopathology image retrieval and classification", accepted to Medical Image Analysis (MIA), Vol. 22, pp. 117-128, 2017
  3. Manish Sapkota, Fujun Liu, Yuanpu Xie, Hai Su, Fuyong Xing, Lin Yang, "AIIMD: An integrated framework of automatic idiopathic inflammatory myopathy diagnosis for muscle", accepted to IEEE Journal of Biomedical and Health Informatics(JBHI), 2017
  4. Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi, Xiangfei Kong, Hai Su, and Lin Yang, "Efficient and Robust Cell Detection: A Structured Regression Approach", accepted to Medical Image Analysis (MIA), 2017.
  5. Hai Su, Fuyong Xing, Lin Yang, "Robust cell detection of histopathological brain tumor images using sparse reconstruction and adaptive dictionary selection", accepted to IEEE Transaction on Medical Imaging (TMI), 2016.
  6. Xiaoshuang Shi, Zhenhuo Guo, Feiping Nie, Lin Yang, Jane You, and Dacheng Tao, "Two-dimensional whitening reconstruction for enhancing robustness of principle component analysis", accepted to IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), 2016
  7. Fuyong Xing, Lin Yang, "Robust nucleus/cell detection and segmentation for digital pathology and microscopic images: A comprehensive review", accepted to IEEE Reviews in Biomedical Engineering (RBME), 2015.
  8. Tahsin Kurc, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee Cooper, Michael Nalisnik, Lin Yang, Joel Saltz, David J Foran, "Scalable Analysis of Big Pathology Image Data Cohorts using Efficient Methods and High-Performance Computing Strategies", accepted to BMC Bioinformatics, 2015
  9. Xiaofan Zhang, Fuyong Xing, Hai Su, Lin Yang, Shaoting Zhang, "High throughput histopathology image analysis via robust cell segmentation and hashing", Medical Image Analysis (MIA), Vol. 26, No. 1, pp. 306-315, 2015
  10. Fuyong Xing, Lin Yang, "An automatic learning-based framework for robust nucleus segmentation", accepted to IEEE Transaction on Medical Imaging (TMI), 2015.
  11. Hongyuan Wang, Fuyong Xing, Hai Su, Arnold Stromberg, Lin Yang, “Novel image markers for non-small cell lung cancer classification and survival prediction”, BMC Bioinformatics, 2014
  12. Xin Qi, Daihou Wang, Ivan Rodero, Javier Diaz-Montes, Rebekah H Gensure, Fuyong Xing, Hua Zhong, Lauri Goodell, Manish Parashar, David J Foran, Lin Yang, “Content-based histopathology image retrieval using CometCloud”, accepted to BMC Bioinformatics, 2014
  13. Christopher S. Fry, Jonah D. Lee, Jyothi Mula, Tyler J. Kirby, Janna R. Jackson, Fujun Liu, Lin Yang, Esther E. Dupont-Versteegden, John J. McCarthy, Charlotte A. Peterson, "Inducible depletion of satellite cells in adult, sedentary mice impairs muscle regenerative capacity without affecting sarcopenia", Nature Medicine, Vol. 21, pp. 76-80, 2015.
  14. Nicolas Wein, Adeline Vulin, Maria Sofia Falzarano, Christina Al-Khalili Szigyarto, Baijayanta Maiti, Andrew Findlay, Kristin H. Heller, Mathias Uhlen, Baskar Bakthavachalu, Sonia Messina, Giuseppe Vita, Chiara Passarelli, Francesca Gualandi, Steve D. Wilton, Louise Rodino-Klapec, Lin Yang, Diane M. Dunn, Daniel Schoenberg, Robert B. Weiss, Michael T. Howard, A. Ferlini, Kevin Flanigan "Translation from a DMD exon 5 IRES results in a functional dystrophin isoform that attenuates dystrophinopathy in humans and mice", Nature Medicine, Vol. 20, No. 9, pp. 992-1000, 2014.
  15. 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”, Journal of Applied Physiology (JAP), Vol. 115, No. 11, pp. 1714-1724, 2013
  16. 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
  17. Fujun Liu, Abigail L. Mackey, Ratchakrit Srikuea, Karyn Esser, Lin Yang, “Automated image segmentation of haemotoxylin and eosin stained skeletal muscle cross-sections”, Journal of Microscopy (JM), Vol. 252, No. 3, pp. 275-285, 2013
  18. Lin Yang, Xin Qi, Fuyong Xing, Tahsin Kurc, Joel Saltz, David J. Foran, “Parallel content based sub-image retrieval using hierarchical searching”, Bioinformatics, Vol. 30, No. 7, pp. 996-1002, 2013
  19. 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
  20. Baiyang Liu, Junzhou Huang, Casimir Kulikowski, Lin Yang, "Robust visual tracking using local sparse apperance model and K-Selection",IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 35, No. 12, pp. 2968-2981, 2013
  21. 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
  22. Xin Qi, Fuyong Xing, David J. Foran, Lin Yang, "A fast, automatic segmentation algorithm for locating and delineating touching cell boundaries in Imaged histopathology ", Journal of Methods in Medical Informatics (JMMI), Vol. 51, No. 3, pp. 91- 102, 2012
  23. Rebekah H. Gensure, David J. Foran, Vincent M. Lee, Vyacheslav Gendel, Salma K. Jabbour, Darren R. Carpizo, John L. Nosher, Lin Yang, "Evaluation of hepatic tumor response to Yttrium-90 radioembolization therapy using texture signatures generated from contrast-enhanced CT images", Academic Radiology, Vol. 19, No. 10, pp. 1201-1207, 2012
  24. Xin Qi, Hyunjoo Kim, Fuyong Xing, Manish Parashar, David J. Foran, Lin Yang, “The analysis of image feature robustness using CometCloud”, Journal of Pathology Informatics (JPI), Vol. 3, No. 33, pp. 1-13, 2012
  25. 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: A software system for 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
  26. 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
  27. Jianqin Qu, Leiguang Gong and Lin Yang, "A 3D point matching algorithm for affine registration", International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 6, No. 2, pp. 229-237, 2010.
  28. 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 (TITB), Vol. 13, No. 3, pp. 291-299, 2009
  29. 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 Information Technology in Biomedicine (TITB), Vol. 13, No. 4, pp. 636-644, 2009
  30. Oncel Tuzel, Lin Yang, Peter Meer and David J. Foran, "Classification of hematologic malignancies using texton signatures", Pattern Analysis and Applications (PAA), Vol. 10, No. 4, pp. 277-290, 2007.
  31. Lin Yang, Peter Meer and David J. Foran, "Unsupervised segmentation based on robust estimation and color active contour models", IEEE Transaction on Information Technology in Biomedicine (TITB) , Vol. 9, No. 3, pp. 475-486, 2005.

Other Peer Reviewed Journals:

  1. Sandra Donkervoort, Ying Hu, Tanya Stojkovic, Nicol Voermans, A. Reghan Foley, Meganne E Leach, Jahannaz Dastgir, Veronique Bolduc, Thomas Cullup, Alix de Becdelievre, Lin Yang, Hai Su, Katherine Meilleur, Alice Schindler, Erik-Jan Kamsteeg, Pascale Richard, Russell Butterfield, Thomas L. Winder, Thomas Crawford, Robert B. Weiss, Francesco Muntoni, Valerie Allamand, Carsten G. Bonnemann, "Mosaicism for dominant COLVI mutations as a cause for intra-familial phenotypic variability", Accepted to Human Mutation, 2014
  2. Michael Spencer, Lin Yang, Akosua Adu, Brian S. Finlin, Beibei Zhu, Lindsey R. Shipp, Neda Rasouli, Charlotte A. Peterson, Philip Kern, "Pioglitazone treatment reduces adipose tissue inflammation through reduction of mast cell and macrophage number and by improving vascularity", Accepted to PLOS ONE, 2014
  3. Michael W. Lawlor, Marissa G. Viola, Hui Meng, Rachel V. Edelstein,  Fujun Liu, Ke Yan, Elizabeth J. Luna, Alexandra Lerch-Gaggl, Ray Hoffmann, Christopher R. Pierson, Anna Buj-Bello, Jennifer L. Lachey, Scott Pearsall, Lin Yang, Cecilia Hillard, Alan H. Beggs, "Differential muscle hypertrophy is associated with satellite cell numbers and Akt pathway activation following activin type IIB receptor inhibition in Mtm1 p.R69C mice", Accepted to American Journal of Pathology (AJP), 2014

  4. Hui Meng, Paul M. L. Janssen, Robert W. Grange, Lin Yang, Alan H. Beggs, Lindsay C. Swanson, Stacy A. Cossette, Alison Frase, Martin K. Childers, Henk Granzier, Emanuela Gussoni, Michael W. Lawlor, "Tissue triage and freezing for models of skeletal muscle disease", Accepted to Journal of Visualized Experiments (JOVE), 2013
  5. 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
  6. David J. Foran, Wenjin Chen and Lin Yang, "Automated image interpretation computer-assisted diagnosis", Analytical Cellular Pathology (ACP), Vol. 34, No. 6, pp. 279-300, 2011

Peer Reviewed Conferences (In computational related fields, such as biomedical image computing, computer vision, machine learning, and data mining, etc., premium conferences are often more prestigious and selective than many journals. Please click this link to check the conference ranking). MICCAI, IPMI, CVPR, ICCV, and ECCV are all premium conferences in biomedical image analysis, computer vision, and pattern recognition. Their proceedings papers are all full-length papers that have been subjected to double-blind peer review that is more stringent than many journals. This is reflected in the low acceptance and high citation rate of MICCAI, IPMI, CVPR, ICCV, and ECCV Proceedings papers. This is another link to show premium conferences in our field from an established researcher at INRIA, France.

  1. Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang, "TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References", The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017 oral (3.6% acceptance rate)
  2. Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang, "Improving deep pancreas segmentation in CT and MRI image via recurrent neural contextual learning and direct loss function", The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017
  3. Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Lin Yang, "Cell encoding for histopathology image classification", The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017
  4. Zizhao Zhang, Yuanpu, Xie, Fuyong Xing, Mason Mcgough, Lin Yang, "MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 oral (2.7% acceptance rate)
  5. Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota Lin Yang, "Asymmetric Discrete Graph Hashing", Accepted to The 31rd AAAI Conference on Artificial Intelligence (AAAI), 2017.
  6. Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang, "Kernel-Based Supervised Discrete Hashing for Image Retrieval", Accepted to The 14th European Conference on Computer Vision (ECCV), 2016.
  7. Yuanpu Xie, Zizhao Zhang, Manish Sapkota, Lin Yang, "Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation", Accepted to The 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.
  8. Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang, "Transfer Shape Priors Towards High-throughput Microscopy Image Segmentation", Accepted to The 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.
  9. Jinzheng Cai, Le Lu, Qian Yin, Zizhao Zhang, Fuyong Xing, Lin Yang, "Pancreas Segmentation using Graph based Data Fusion with Convolutional Neural Networks", Accepted to The 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.
  10. Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang, "SemiContour: A semi-supervised learning approach for contour detection", Accepted to IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  11. Hai Su, Yong Shen, Fuyong Xing, Xin Qi, Kim M. Hirshfield, Lin Yang, and David J. Foran, "Robust automatic breast cancer staging using a combination of functional genomics and image-omics", Proc. International Conference on Engineering in Medicine and Biology Society (EMBS), pp. 7226-7229, 2015
  12. Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang, "Weighted hashing with multiple cues for cell-level analysis of histopathology images", The 24th Biennial International Conference on Information Processing in Medical Imaging (IPMI), Vol. 24, pp. 303-314, 2015
  13. Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang, "Scalable analysis of histopathology images via robust cellular segmentation and weighted hashing", 2015 International Conference on Computer Vision and Patter Recognition (CVPR), 2015
  14. Fuyong Xing, Lin Yang, "Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-approximated Active Contour", The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 9351, pp. 332-339, 2015
  15. Fujun Liu, Fuyong Xing, Zizhao Zhang, Mason Mcgough, Lin Yang, "Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation", The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 9351, pp. 324-331, 2015
  16. Fujun Liu, Lin Yang, "A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set", The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 9351, pp. 349-357, 2015
  17. Yuanpu Xie, Fuyong Xing, Xiangfei Kong, Hai Su, Lin Yang, "Beyond Classification: Structured Regression For Robust Cell Detection Using Convolutional Neural Network", The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 9351, pp. 358-365, 2015
  18. Yuanpu Xie, Xiangfei Kong, Fuyong Xing, Fujun Liu, Hai Su, Lin Yang, "Deep Voting: A Robust Approach Towards Nucleus Localization In Microscopy Images", The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 9351, pp. 374-382, 2015
  19. Hai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang, "Robust Cell Detection and Segmentation in Histopathological Images using Sparse Reconstruction and Stacked Denoising Autoencoders", The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 9351, pp. 383-390, 2015
  20. Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris Metaxas, "Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis", The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 9351, pp. 366-373, 2015
  21. Hai Su, Fujun Liu, Yuanpu Xie, Fuyong Xing, Sreenivasan Meyyappan, Lin Yang, "Region segmentation in histopathological breast cancer images using deep convolutional neural network", 2015 International Symposium on Biomedical Imaging (ISBI), 2015
  22. Fuyong Xing, Lin Yang, "Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor", 2015 International Symposium on Biomedical Imaging (ISBI), 2015
  23. Manish Sapkota, Fuyong Xing, Hai Su, Lin Yang, "Automatic muscle perimysium annotation using deep convolutional neural network", 2015 International Symposium on Biomedical Imaging (ISBI), 2015
  24. Xiaofan Zhang, Lin Yang, Wei Liu, Hai Su, Shaoting Zhang, "Mining histopathology images via compsite hashing and online learning", 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014
  25. Fujun Liu, Fuyong Xing, Lin Yang, “Robust muscle cell segmentation using region selection with dynamic programming”,2014 International Symposium on Biomedical Imaging (ISBI), 2013
  26. Fujun Liu, Fuyong Xing, Hai Su, Lin Yang, “Touching adipocyte cells decomposition using combinatorial optimization”,2014 International Symposium on Biomedical Imaging (ISBI), 2013
  27. Daihou Wang, Xin Qi, Manish Parashar, David J. Foran, Lin Yang, “High throughput content-based image retrieval using GPGPU”, The Six High Performance Computing Workshop Associated with The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 1, pp. 1-8, 2013
  28. Xin Qi, Daihou Wang, Javier Diaz-Montes, Ivan Rodero, Tony Pan, Abulimit Aji, Lee Cooper, Fuyong Xing, Manish Parashar, David J. Foran, Lin Yang, “Exploring online nuclear segmentation on large fluorescence brain tumor images using CometCloud”, The Six High Performance Computing Workshop Associated with The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 1, pp. 50-58, 2013
  29. Fuyong Xing, Hai Su, Lin Yang, “An integrated framework for automatic Ki-67 scoring in pancreatic neuroendocrine tumor”, The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 8149, pp. 436-443, 2013
  30. Fuyong Xing, Lin Yang, “Robust Selection-based Sparse Shape Model for Lung Cancer Image Segmentation”, The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 8151, pp. 404-412, 2013
  31. Fuyong Xing, Lin Yang, “Robust cell segmentation for non-small cell lung cancer”, 2013 International Symposium on Biomedical Imaging (ISBI), Vol. 1, pp. 386-389, 2013
  32. Hai Su, Fuyong Xing, Jonah Lee, Charlotte Peterson, Lin Yang, “Learning based automatic detection of myonuclei in isolated single skeletal muscle fibers using multi-focus image fusion”, 2013 International Symposium on Biomedical Imaging (ISBI), Vol. 1, pp. 432-435, 2013
  33. Xin Qi, Rebekah H. Gensure, David J. Foran, Lin Yang, "Content-based white blood cell retrieval on bright-field pathology images", SPIE International Symposium on Medical Imaging (SPIE), Vol. 8676, pp. 100-110, 2013
  34. Fuyong Xing, Baiyang Liu, Xin Qi, David J. Foran, Lin Yang, "Digital tissue microarray classification using sparse reconstruction", SPIE International Symposium on Medical Imaging (SPIE), Vol. 8314, pp. 50-60, 2012
  35. Xin Qi, Fuyong Xing, Meghana Ghadge, Ivan Rodero, Moustafa Abdelbaky, Manish Parashar, Evita Sadimin, David Foran, Lin Yang ,"Content-based image retrieval on imaged peripheral blood smear specimens using high performance computation", Data- and Compute-intensive Clinical and Translation Imaging associated with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 1, pp. 11-19, 2012
  36. Fuyong Xing, Xin Qi, David J. Foran, Tahsin Kurc, Joel Saltz, Lin Yang ,"Content-based parallel sub-image retrieval", Data- and Compute-intensive Clinical and Translation Imaging associated with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 1, pp. 31-40, 2012
  37. 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), Vol. 1, pp. 1-8, 2011
  38. Xin Qi, Fuyong Xing, David J. Foran and Lin Yang, "Comparative performance analysis of stained histopathology specimens using RGB and multispectral Imaging", SPIE International Symposium on Medical Imaging(SPIE), Vol. 7963, pp. 120-128, 2011
  39. Lin Yang, Hyunjoo Kim, Manish Parashar and David Foran, "High throughput landmark based image registration using Cloud computing", High Performance Computing (HP) workshop associated with Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 1, pp. 21-29, 2011
  40. Xin Qi, Hyunjoo Kim, Fuyong Xing, Manish Parashar, David Foran and Lin Yang, "The analysis of image texture feature robustness using CometCloud", High Performance Computing (HP) workshop associated with Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 1, pp. 80-88, 2011
  41. Xin Qi, Fuyong Xing, David J. Foran and Lin Yang, "GPU enabled parallel touching cell segmentation using mean shift based seed detection and repulsive level set", High Performance Computing (HP) workshop associated with Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 1, pp. 30-40, 2010
  42. Tahsin Kurc, Patrick Widener, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vijay Kumar, Vicky Chu, Lee Cooper, Jun Kong, Ashish Sharma, Tony Pan, Joel Saltz, David Foran, "Grid-enabled, high-performance microscopy image analysis", High Performance Computing (HP) workshop associated with Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vol. 1, pp. 11-20, 2010
  43. Baiyang Liu, Lin Yang, Junzhou Huang, P. Meer, Leiguang Gong, Casimir Kulikowski, "Robust and fast visual tracking with two stage sparse optimization", 11th European Conference on Computer Vision (ECCV), Vol. 6314, pp. 624-637, 2010
  44. Baiyang Liu, Lin Yang, Casimir Kulikowski, Jinghao Zhou, Leiguang Gong, David J. Foran, Salma J. Jabbour and Ning J. Yue. "An adaptive tracking algorithm of lung tumors in fluoroscopy using online learned collaborative trackers ", IEEE International Symposium on Biomedical Imaging (ISBI), Vol. 1, pp. 209-212, 2010
  45. Hyunjoo Kim, Manish Parashar, David J. Foran and Lin Yang, "Investigating the use of automatic cloudbursts for high-throughput medical image registration", IEEE International Conference on Grid Computing (GRID), Vol. 1, pp. 34-41, 2009.
  46. Lin Yang, Leiguang Gong, Hong Zhang, John L. Nosher and David J. Foran, "A parallel point matching algorithm for landmark based image registration using multicore platform", 2009 European Conference on Parallel Computing (Euro-par), Vol. 5704, pp. 936-947, 2009
  47. Lin Yang, Salma Jabbour, Jinghao Zhou, Bruce Haffty, David J. Foran and Ning J. Yue, "A fast and robust dynamic tracking method of the moving deformable targets in the fluoroscopy image sequence for image guided radiotherapy", the 51th American Association of Physicists in Medicine, 2009
  48. 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", Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Vol. 1, pp. 1306-1309, 2009.
  49. 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", Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Vol. 1, pp. 494-497, 2009.
  50. Lin Yang, Leiguang Gong, Hong Zhang, John L. Nosher and David J. Foran, "A multicore based parallel image registration method", Proc. International Conference on Engineering in Medicine and Biology Society (EMBS), Vol. 1, pp. 98-101, 2009.
  51. 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), Vol. 11, pp. 833-841, 2008..
  52. 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), Vol. 1, pp. 1-8, 2008.
  53. Lin Yang, Bogdan Georgescu, Yefeng Zheng, David J. Foran and Dorin Comaniciu. "A fast and accurate tracking algorithm of left ventricles in 3D echocardiography", Proc. International Symposium on Biomedical Imaging (ISBI) , Vol. 5, pp. 221-224, 2008.
  54. 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), Vol. 10, pp. 617-625, 2007
  55. 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), Vol. 1, pp. 1-8, 2007.
  56. Lin Yang and David J. Foran. "A variational framework for partially occluded image segmentation using coarse to fine shape alignment and semi-parametric density approximation", Proc. IEEE International Conference on Image Processing (ICIP), Vol. 1, pp. 137-140, 2007.
  57. Dazhang Gu, Lin Yang and Lonnie R. Welch. "A predictive, decentralized load balancing approach", 19th Proc. IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vol. 1, pp. 131-140, 2005.
  58. Lin Yang, Jundong Liu, Charles D. Cavanaugh and Lonnie R. Welch, "A L2E-based QoS forecasting technique for dynamic, distributed real-time systems", Proc. International Conference on Parallel and Distributed Processing Techniques and Applications, Vol. 1, pp. 100-104, 2003.
  59. Lin Yang, Jundong Liu, Charles D. Cavanaugh and Lonnie R. Welch, "A robust QoS forecasting algorithm for a dynamic, distributed real-time testbed", Proc. IEEE International Workshop on Computer Architectures for Machine Perception, Vol. 1, pp. 96-100, 2003

Book Chapters:

  1. Lin Yang and David J. Foran, Parametric and geometric deformable models: An application in biomaterials and medical imaging . Suri/Farag, eds, Vol. 2, Chapter 4, pp. 95-122, Springer, ISBN: 0-387-31204-8,2006.
  2. Xiaoping Shen and Lin Yang, Handbook of medical image analysis: segmentation and registration models, Suri/Wilson/Laxminarayan, eds, Vol. 1, Chapter 1, 47 pp., Kluwer, ISBN: 0306485508, 2005

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