Welcome to make requests on Yubing's publications!  &&  Thanks for citation and review!

 

 

Link for publications on NCBI:

http://www.ncbi.nlm.nih.gov/myncbi/browse/collection/47326897/?sort=date&direction=ascending

 

 

Patent:

    

[1] Jayaram k. Udupa, Dewey Odhner, Drew A.Torigian and Yubing Tong. "Application of Automatic Anatomy Recognition in Medical Tomographic Imagery Based on Fussy Anatomy Models. United States Provisional Patent Application No.61/994,494 filed May 16, 2014 (International Patent, Publication Number: WO 2015/175806 A1, Pub. Date: Nov. 19, 2015, download pdf).

 

[2] Jayaram K. Udupa, Dewey Odhner, Yubing Tong and Drew A.Torigian. “An interactive method for standardization and non-uniformity correction of MR image intensities,” (United States Patent, Pub. No.: US2016/0284071 A1, Pub. Date: Sep. 29, 2016, download pdf).

 

[3] Jayaram K. Udupa, Dewey Odhner, Yubing Tong and Drew A.Torigian. “Automatic localization of body-wide lymph node stations in medical images using fuzzy models,” (PENN reference 15-7410, 2015) US Patent, submitted.

 

 Publication list:

Journal Papers:

[1] Monica. M.S. Matsumoto, Jayaram K.Udupa, Yubing Tong, Babak Saboury, Drew A. Torigian. Quantitative Normal Thoracic Anatomy at CT for Building Population Object Models, Journal of Computerized Medical Imaging and Graphics, (Accepted, download pdf ).

 

[2] Yubing Tong, Jayaram K.Udupa. A novel minimally interactive fuzzy connectedness based segmentation approach of dynamic upper airway MR images. Medical Physics, (Accepted, download pdf ).

 

[3] Kaiqiong Sun, Jayaram K Udupa, Dewey Odhner, Yubing Tong. Automatic thoracic anatomy segmentation at CT using hierarchical fuzzy models and registration. Medical Physics, (Accepted, download pdf ).  

 

[4]Huiqian Wang, Jayaram K. Udupa, Yubing Tong et al. Automatic anatomy recognition in PET/CT Images-A novel approach. Medical Physics, 43 (1), 613-629, 2016 [full paper in pdf].

 

 

[5]Yubing Tong, Jayaram K. Udupa, Drew Torigian. Optimization of abdominal fat quantification on CT imaging through use of standardized anatomic space-A novel approach. Journal of Medical Physics,

41(6):0635011-11, 2014 [full paper in pdf].

 

[6]Jayaram K. Udupa, Dewey Odhner, Liming Zhao,Yubing Tong, Monica M.S. Matsumoto, Krzysztof C. Ciesielski, Alexandre X. Falcao, PavithraVaideeswaran, Victoria Ciesielski,  BabakSaboury, Syedmehrdad Mohammadianrasanani, Sanghun Sin, RaananArens, Drew A. Torigian. Body-Wide Hierarchical Fuzzy Modeling, Recognition and Delineation of Anatomy in Medical Images. Medical Image Analysis 18, 752-771, 2014.[full paper in pdf]

   

[7] Yubing Tong, Faouzi Alaya Cheikh, Fahad Fazal Elahi Guraya, Hubert Konik and Alain Tremeau. A Spatiotemporal Saliency Model for Video Surveillance. 3(1):241-263, Journal of Cognitive Computing,

Springer, 2011.[full paper in pdf]

 

[8 ]Yubing Tong, Faouzi Alaya Cheikh, Hubert Konik and Alain Tremeau. Full reference image quality assessment based on saliency map analysis (International Journal of Imaging Science and Technology, 

54(3):030503-030514, 2010.[full paper in pdf]        [Presentation in pdf]

[9]Robert M Campbell, Jr., Joseph M McDonoough, David A. Mong, Howard Paanitch, Keith Baldwin, J. K. Udupa, Yubing Tong. Caiyun Wu. “The etiology of Thoracic Insufficiency Syndrome in

Neuromuscular Scoliosis based on quantitative dynamic Lung MRI (QdMRI), Spine deformity, vol 2(6), 505-506, 2014(pdf)

 

[10]Wenrui Ding, Yubing Tong and Qishan Zhang. Image and Video Quality Assessment Using Neural Network and SVM, Tsinghua Science and Technology, 16(1): 112-116, 2008. [pdf]

 

[11]Yubing Tong, Qing Chang and Qishan Zhang. H.264 inter-frame sub-block mode and intra-frame mode selection algorithm based on statistic threshold, Optics and Electronics Engineering, Vol 4. 133-136,

2007.  

 

[12] Yubing Tong, Qishan Zhang. Image quality assessing model by using neural network and support vector machine. Journal of Beijing University of Aeronautics and Astronautics, 32(9): 1031-1034, 2006.

 

[13] Qing.Chang, Yubing Tong and Qishan Zhang. Video quality assessing model based on single image quality with different weights, Journal of Beijing University of Aeronautics and Astronautics, 33(3), 313-

316,2007.

 

[14]Y.B.Tong, Q.S.Zhang. Image Quality Assessing Model Based on PSNR and SSIM, Journal of Image & Graphics, 11(12):  1758-1763, 2006. 

 

[15]Y.B.Tong, W.W.Hu, D.K.Yang and Q.S.Zhang. Review of Video Quality Assessment Methods. Journal of CAD & Computer Graphics, 18(5):1-7, 2006.

 

[16] Y.B.Tong, D.K.Yang, Q.S.Zhang. Wavelet Kernel Support Vector Machines for Sparse ApproximationJournal ofElectronics (Springerlink) , 23(4): 539-542, 2006. [pdf]

 

[17]Yubing Tong, Qing Chang, Qishan Zhang. Fast fingerprint classification algorithm based on oriented radial and generalized nonsymmetrical features. Computer Applications, 25(6):1307-1309, 2005.

 

[18]Yubing Tong, Qing Chang, Qishan Zhang, Patterns of SVM in Digital Watermarking, Application Research of Computers, 22(3):147-149, 2005.

 

[19]Y.B.Tong, Q.S.Zhang. Design of USB Fingerprint Capturing Device, Semiconductor and Optics & Electronics,25(1):76-78, 2004. 

 

[20]Yubing Tong, Qing Chang, Qishan Zhang, Document Image Compressing Algorithm Based on Image Content Analyzed and Features Extracted,  Radio Engineering of China, 34(11): 8-10, 2004.

 

[21]Y.B.Tong, Q.Chang, Q.S.Zhang. Embedded System of CCD Video & Image Capturing, Optics and Electronics Engineering, Vol.31, 133-136, 2004.

 

[22]Xiaoyu Yuan, Yubing Tong. PKI Architecture in Fingerprint Identification Application, Information Security and Communication Secrecy, Vol.11, 37-39, 2004.

 

[23]Yubing Tong, Jinpei Wu. Fuzzy Control of Household Washing Machines Based on Frequency Conversion Technology. Journal of Wuyi University, 16(2): 52-57, 2002.

 

[24]Yubing Tong, Jinpei Wu. Fuzzy Control and Frequency Conversion Technique in Washing Machine Based on MC68332 Single chip. Computer Measurement & Control, 10(10): 664-667, 2002.

 

 

Conference Papers:

[1] Yubing Tong, Jayaram K. Udupa et al. Fat segmentation on chest CT images via Fuzzy models, SPIE2016, Medical Imaging(Accepted, pdf ).

 

[2] Yubing Tong, Jayaram K. Udupa et al. Fat quantification and analysis of lung transplant patients on unenhenced chest CT images based on standardized anaotmic space, SPIE2016, Medical

Imaging(Accepted, pdf ).

 

[3] Lidong Huang, Jayaram K. Udupa, Yubing Tong et al. Automatic anatomy recognition on CT images with pathology, SPIE2016, Medical Imaging(Accepted, pdf ).

 

[4] Li Cao, Jayaram K. Udupa, Yubing Tong et al., A general approach to liver lesion segmentation in CT images, SPIE2016, Medical Imaging(Accepted, pdf ).

 

[5] Yu Liu, Jayaram K. Udupa, Yubing Tong et al. Definition and antomatic anatomy recognition of lymph node zones in the abdomen and pelvis on CT images, SPIE2016, Medical Imaging(Accepted, pdf ).

 

[6] Yihua Song, Jayaram K. Udupa, Dewey Odhner, Yubing Tong et al. Lymph node detection in IASLC-defined zones on PET/CT images, SPIE2016, Medical Imaging(Accepted, pdf).

 

[7]Yubing Tong, Jayaram K. Udupa. Automatic anatomy recognition in post-tonsillectomy MR images of obese children with OSAS. Proceeding of SPIE, Medical Imaging, Vol 9414, 94140Z1-6, 2015.   [pdf]

 

[8] Yubing Tong, Jayaram K. Udupa. Interactive non-uniformity correction and intensity standardization of MR images. Proceeding of SPIE, Medical Imaging, Vol 9415, 94111N1-6, 2015.  [pdf]

 

[9] Yubing Tong, Jayaram K. Udupa. MR image analysis of upper airway architecture in children with OSAS. Proceeding of SPIE, Medical Imaging, Vol 9417, 94172J1-6, 2015. [pdf]

 

[10] Liming Zhao, Jayaram K. Udupa, Yubing Tong et al. Automatic anatomy recognition of sparse objects. Proceeding of SPIE, Medical Imaging, Vol 9413, 94133N1-6, 2015.  [pdf]

 

[11] Huiqian Wang, Jayaram K. Udupa, Yubing Tong et al. Automatic anatomy recognition in PET/CT Images. Proceeding of SPIE, Medical Imaging, Vol 9415, 9415181-6, 2015. [pdf]

 

[12] Yubing Tong, Jayaram K. Udupa. Minimally interactive fuzzy connectedness segmentation of 4D dynamic upper airway MR images. Proceeding of SPIE, Medical Imaging, Vol 9038, 90380Z1-7, 2014.  [pdf]

 

[13]Yubing Tong, Jayaram K. Udupa. Standardized anatomic space for abdominal fat quantification. Proceeding of SPIE, Medical Imaging , Vol 9304, 90343D1-7, 2014.  [pdf]

 

[14]Yubing Tong, Jayaram K. Udupa. Graph-based retrospective 4D image construction from free-breathing MRI slice acquisitions. Proceeding of SPIE, Medical Imaging , Vol 9038, 90380I1-7, 2014.  [pdf]

 

[15]Kaiqiong Sun, Jayaram K Udupa, D.Odhner, Yubing Tong. Automatic thoracic anatomy segmentation at CT using hierarchical fuzzy models and registration, Proceeding of SPIE, Medical Imaging, Vol.9036,

90361P1-8, 2014.

 

[16]Yubing Tong, Jayaram K. Udupa. Abdominal Adiposity Quantification at MRI via Fuzzy Model–Based Anatomy Recognition, Proceeding of SPIE, Medical Imaging, Vol.8672, 8672R1-7, 2013. [pdf]

 

[17]Yubing Tong, Jayaram K. Udupa. Recognition of Upper Airway and Surrounding Structures at MRI in Pediatric PCOS and OSAS,  Proceeding of SPIE, Medical Imaging, Vol.8670, 86702S1-7, 2013.  [pdf]

 

[18]Jayaram K. Udupa,Dewey Odhner, Yubing Tong. Fuzzy-Model-Based Body-wide Anatomy Recognition in Medical Images. Proceeding of SPIE, Medical Imaging, Vol.8671, 86712B1-7, 2013.  [pdf]

 

[19]Bahjat Safadi, Yubing Tong and Georges Quénot. Incremental learning for active learning based Multi-learners for image indexing. MMM'2011: Proceedings of the 17th international conference on

Advances in multimedia modeling, Volume Part I/ LNCS Springer, Volume 6523, 240-250, 2011.   [pdf]

 

[20]Yubing Tong, Bahjat Safadi, Georges Quénot. Incremental Multi-Classifier Learning Algorithm on Grid5000 for Large Scale Image Annotation. MM’10/VLS-MCMR'10: Proceedings of the international

workshop on Very-large-scale multimedia corpus, mining and retrieval, 1-6, 2010.  [pdf]

 

[21]Yubing Tong, Hubert Konik and Alain Tremeau. Color Face-Tuned Salient detection For Image Quality Assessment, EUVIP 2010, 253-260, 2010. (Invited paper) [pdf].

 

[22]Fahad Fazal Elahi Guraya, Faouzi Alaya Cheikh, Alain Tremeau, Yubing Tong and Hubert Konik. Predictive Saliency Maps for Surveillance Videos (DCABES 2010/Accepted). [pdf] 

 

[23]Yubing Tong, Hubert Konik, Faouzi Alaya Cheikh, Fahad Fazal Elahi Guraya and Alain Tremeau. Multi-Feature based visual saliency detection in surveillance video, Processing of SPIE , Video

Communication and Image Processing, Vol. 7744, 7744041- 7744049, 2010. (Invited paper).  [pdf].

 

[24]Fahad Fazal Elahi Guraya, Ali Shariq Imran, Yubing Tong, Faouzi Alaya Cheikh. A Non-reference Quality Metric Based on Visual Attention Model for Videos, ISSPA, 10-13, 2010.  [pdf].  

 

[25]Bahjat Safadi and Yubing Tong and Franck Thollard and Georges Quénot and Rainer Stiefelhagen.  Quaero at TRECVID 2010: Semantic Indexing. TRECVID, 1-7, 2010.  

 

[26]Yubing Tong, Qishan Zhang. Multi-parameter hierarchical image quality assessing model based on regressing analysis, Aeronautics & Astronautics Science & Technology Doctoral Forum, Beijing, China,

2006.

 

[27]Li Liu, Yubing Tong, Qing Chang. H.264 Video Compressing System Based on ADSP-BF561. Aero-society 11th and electric-society 4th Conference of DSP Application, China, 2005. 

 

[28]Y.B.TongQ.Chang, Q.S.Zhang. Image Quality Assessing by Using Neural Network and Support Vector Machines. The 5th IEEE International Conference on Machine Learning and Cybernetics, Dalian,

China, Vol7:3987-3990,2006. [pdf]

 

[29]D.K.Yang. Y.B.Tong. Q.S.Zhang. Sparse Approximation Based on Wavelet Kernel SVM, Proceeding of the 4th IEEE International Conference on Machine Learning and Cybernetics, Guangzhou, China,

Vol8, 4249-4253, 2005. [pdf]

 

[30]Y.B.Tong, Q.S.Zhang. Research of Embedded CCD Video & Image Capturing Technique, Proceeding of Chinese Electronics & Information Annual, Vol.B, 664-668, 2004.  

 

[31] Yubing Tong, Jinpei Wu. Control system network: DCS, FCS& Field bus intelligent instruments, 6th Industrial system application conference, Shanxi, 106-109, 2000.

 

Abstract

[1] G. K. Sharma, G. S. Ahuja, D. Odhner, Y. Tong, M. T. Wiedmann, J. Jing, K. Huoh, N. Pham, Z. Chen, J. K. Udupa, B. J. Wong. A Novel image analysis approach to fourier-domain optical coherence tomography of the neonatal airway to quantify early structure and histopathological mucosal changes associated with neonatal subglottic stenosis: relative “fuzzy” connectedness, ASPO 2015 (Abstract accepted)

 

 

[2] Shobhit Sharma, J. K. Udupa, Y. Tong, D. A Torigian. “Effect of MRI intensity standardization on liver tissue characterization: a comparison between normal and cirrhotic livers,” RSNA 2014 (Accepted).

 

[3] Yubing Tong. PhD Thesis: The research on image quality assessment and H.264 video coding technology,Dec, 26th, 2006 (Abstract in pdf).  

 

Draft Submissions (coming soon)

   
[1] Yubing
Tong, Jayaram K. Udupa. A novel graph-based retrospective dynamic MR image construction from free-breathing slice acquisitions. Medical Image Analysis, (2017, Accepted, pdf).  

[2]Yubing Tong, Jayaram K. Udupa, Sanghun Sin, Zhenbing Liu, E. Paul Wileyto, Drew A. Torigian, Raanan Arens. MR image analysis of upper airway architecture in children with OSAS
, PLOS One, (2016, Accepted, pdf) .

[3]Yubing Tong, Jayaram K. Udupa, et al. Chest Fat Quantification via CT Based on Standardized Anatomy Space in Adult Lung Transplant Candidates , PLOS One, ( 2017, Accepted, pdf).

[4]Yubing Tong, Jayaram K. Udupa, et al. Interactive iterative relative fuzzy connectedness lung segmentation on thoracic 4D dynamic MR images. SPIE Medical Imaging 2017 (Accepted, pdf).

[5]Yubing Tong, Jayaram K. Udupa, et al. Virtual landmarks. SPIE Medical Imaging 2017 (Accepted, pdf).

[6]Yubing Tong, Jayaram K. Udupa, et al. Disease quantification on PET/CT images without object delineation. SPIE Medical Imaging 2017 (Accepted, pdf).

[7] Peirui Bai, Jayaram K. Udupa, Yubing Tong et al. Automatic thoracic body region localization. SPIE Medical Imaging 2017 (Accepted, pdf).

[8] Shipeng Xie, Peirui Bai, Yubing Tong et al. Blind deconvolution combined with level set method for correcting cupping artifacts in cone beam CT. SPIE Medical Imaging 2017 (Accepted, pdf).