Welcome to Yubing's publications!
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Link for publications on NCBI:
Google cites:
https://scholar.google.com/citations?user=2JmiMCEAAAAJ&hl=en
News of 2021
1. Jieyu Li, Jayaram K. Udupa, Yubing Tong, Lisheng Wang, Drew A. Torigian. Segmentation Evaluation with Sparse Ground Truth Data: Simulating True Segmentations as Perfect/Imperfect as Those Generated by Humans. Medical Image Analysis, 2021 (pdf).
2. You Hao, Jayaram K. Udupa, Yubing Tonget al. " OFx: A method of 4D image construction from free-breathing non-gated MRI slice acquisitions of the thorax via optical flux", Medical Image Analysis 72 (2021) 102088 (pdf).
3. Xu G, Cao H, Udupa JK, Tong Y, Torigian DA. DiSegNet: A Deep Dilated Convolutional Encoder-Decoder Architecture for Lymph Node Segmentation on PET/CT images, CMIG 88 (2021) 10185, 2021 (pdf).
4. Lipeng Xie, Jayaram K Udupa, Yubing Tong, Drew A Torigian, Zihan Huang, Rachel M Kogan, Jennifer Ben Nathan, David Wootton, Kokren Choy, Sanghun Sin, Mark E Wagshul, Raanan Arens. Automatic upper airway segmentation in static and dynamic MRI via deep convolutional neural networks. SPIE 2021, Medical Imaging.
5. Jieyu Li, Jayaram K Udupa, Yubing Tong, Dewey Odhner, Drew A Torigian. Anatomy recognition in CT images of head and neck region via precision atlases, SPIE 2021, Medical Imaging.
6. Yubing Tong, Jayaram K Udupa, Joseph M McDonough, Carina Lott, Caiyun Wu, Chamith S Rajapakse, Jason B Anari, Drew A Torigian, Patrick J Cahill. Lung parenchymal characterization via thoracic dynamic MRI in normal children and pediatric patients with TIS, SPIE 2021, Medical Imaging.
7. You Hao, Jayaram K Udupa, Yubing Tong, Caiyun Wu, Hua Li, Joseph M McDonough, Carina Lott, Jason B Anari, Drew A Torigian, Patrick J Cahill. Estimation of the dynamic volume of each lung via rapid limited-slice dynamic MRI, SPIE 2021, Medical Imaging.
8. D Wootton, KR Choy, S Sin, Y Tong, JK Udupa, ME Wagshul, R Arens. Airway Effective Compliance Measurement by Image-Based CFD During Hypopnea, Recovery, and Normal Breaths, TP131. TP131 NOVEL METHODOLOGIES FOR DIAGNOSING SLEEP DISORDERED BREATHING.
2020:
Russel A Hibbs best science paper award in Scoliosis Research Society (SRS) 55th Annual Meeting, online, Sep. 9 - Sep. 13, 2020.
A Novel Imaging Study to Quantify Respiratory Function in Early Onset Scoliosis-Introducing Quantitative Dynamic Magnetic Resonance Imaging (QdMRI). Yubing Tong, PhD; Jayaram K. Udupa, PhD; Joseph M. McDonough, MS; Caiyun Wu, MS; Catherine Qiu, MS; Carina Lott, MS; Nirupa Galagedera, BA; Jason B. Anari, MD; Drew A. Torigian, MA; Patrick J. Cahill, MD, Best Basic Science paper in Scoliosis Research Society (SRS) 55th Annual Meeting online, Sep. 9 - Sep. 13, 2020.
Best science paper award in 14th International Congress on Early Onset Scoliosis (2020 ICEOS Virtual Meeting), November 14, 2020.
Rib-based Anchors do not Impair Chest Wall Motion in Early Onset Scoliosis, Yubing Tong, Jayaram K. Udupa, Joseph M. McDonough, Caiyun Wu, Catherine Qiu, Carina Lott, Nirupa Galagedera, Jason B. Anari, Drew A. Torigian, Patrick J. Cahill, 14th International Congress on Early Onset Scoliosis (2020 ICEOS Virtual Meeting), November 14, 2020.
Journal papers
1. Tong Y, Udupa JK, McDonough JM, Wu C, Sun C, Qiu C, Lott C, Galagedera N, Anari JB, Mayer OH, Torigian DA, Cahill PJ. Thoracic quantitative dynamic MRI to understand developmental changes in normal ventilatory dynamics. Chest. 2020. doi: 10.1016/j.chest.2020.07.066. PubMed PMID: 32768456 ( download pdf ).
2. Agrawal V, Udupa JK, Tong Y, Torigian DA. BRR‐Net: A Tandem Architectural CNN‐ RNN for Automatic Body Region Localization in CT Images, Medical Physics, https://doi.org/10.1002/mp.14439 (download pdf).
3. Al-Naamani N, Pan HM, Anderson MR, Torigian DA, Tong Y, Oyster M, Porteous MK, Palmer S, Arcasoy SM, Diamond JM, Udupa JK, Christie JD, Lederer DJ, Kawut SM. Thoracic Visceral Adipose Tissue Area and Pulmonary Hypertension in Lung Transplant Candidates: The Lung Transplant Body Composition Study. Ann Am Thorac Soc. 2020. doi: 10.1513/AnnalsATS.202003-247OC. PubMed PMID: 32530703 (download pdf).
4. Li J, Udupa JK, Tong Y, Wang L, Torigian DA. LinSEM: Linearizing segmentation evaluation metrics for medical images. Med Image Anal. 2020;60:101601. doi: 10.1016/j.media.2019.101601. PubMed PMID: 31811980; PMCID: PMC6980787 (download pdf ).
5. Xu G, Udupa JK, Tong Y, Odhner D, Cao H, Torigian DA. AAR-LN-DQ: Automatic anatomy recognition based disease quantification in thoracic lymph node zones via FDG PET/CT images without Nodal Delineation. Med Phys. 2020;47(8):3467-84. doi: 10.1002/mp.14240. PubMed PMID: 32418221 (download pdf ).
6. Bitners AC, Sin S, Agrawal S, Lee S, Udupa JK, Tong Y, Wootton DM, Choy KR, Wagshul ME, Arens R. Effect of Sleep on Upper Airway Dynamics in Obese Children with Obstructive Sleep Apnea Syndrome. Sleep. 2020. doi: 10.1093/sleep/zsaa071. PubMed PMID: 32280981 (download pdf).
7. Liu T, Pan J, Torigian DA, Xu P, Miao Q, Tong Y, Udupa JK. ABCNet: A new efficient 3D dense-structure network for segmentation and analysis of body tissue composition on body-torso-wide CT images. Med Phys. 2020;47(7):2986-99. doi: 10.1002/mp.14141. PubMed PMID: 32170754 (download pdf).
8. Udupa JK, Tong Y, Capraro A, McDonough JM, Mayer OH, Ho S, Wileyto P, Torigian DA, Campbell RM, Jr. Understanding Respiratory Restrictions as a Function of the Scoliotic Spinal Curve in Thoracic Insufficiency Syndrome: A 4D Dynamic MR Imaging Study. J Pediatr Orthop. 2020;40(4):183-9. doi: 10.1097/BPO.0000000000001258. PubMed PMID: 32132448; PMCID: PMC6426694.
9. Tong Y, Udupa JK, McDonough JM, Wileyto EP, Capraro A, Wu C, Ho S, Galagedera N, Talwar D, Mayer OH, Torigian DA, Campbell RM. Quantitative Dynamic Thoracic MRI: Application to Thoracic Insufficiency Syndrome in Pediatric Patients. Radiology. 2019;292(1):206-13. doi: 10.1148/radiol.2019181731. PubMed PMID: 31112090. (This paper is also requested to be reprinted in another journal Spine Deformity for benefiting readers in SRS field (Scoliosis Research Society) after receiving the best science paper award from SRS, 2020).
10.Changjian Sun, Yubing Tong, Jayaram K Udupa*. Auto-labeling of respiratory time points in free-breathing thoracic dynamic MR image acquisitions for 4D image construction, (Submitted for IEEE TBME, co-first authorship, and co-mentor for the PhD student, Changjian Sun).
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Conference papers
1. You Hao, Jayaram K Udupa, Yubing Tong. 4D image construction from free-breathing MRI slice acquisitions of the thorax based on a concept of flux. SPIE 2020 Medical Imaging (Accepted, download pdf ).
2. Jieyu Li, Jayaram K Udupa, Yubing Tong. Anatomy segmentation evaluation with sparse ground truth data. SPIE 2020 Medical Imaging (Accepted, download pdf ).
3. Changjian Sun, Jayaram K Udupa, Yubing Tong. Automatic labeling of respiratory phases and detection of abnormal respiratory signals in free-breathing thoracic dynamic MR image acquisitions based on deep learning. SPIE 2020 Medical Imaging (Accepted, download pdf ).
4. Changjian Sun, Jayaram K Udupa, Yubing Tong. Segmentation of 4D images via space-time neural networks. SPIE 2020 Medical Imaging. SPIE 2020 Medical Imaging (Accepted, download pdf ).
5. Jizheng Yi, Jayaram K Udupa, Yubing Tong. Localization and segmentation of optimal slices for chest fat quantification in CT via deep learning. SPIE 2020 Medical Imaging (Accepted, download pdf ).
6. AliAsghar Mortazi, Jayram K Udupa, Yubing Tong, Drew A Torigian. A postacquisition standardization method for positron emission tomography images. SPIE 2020 Medical Imaging (Accepted, download pdf ).
Abstract:
1. A Novel Imaging Study to Quantify Respiratory Function in Early Onset Scoliosis-Introducing Quantitative Dynamic Magnetic Resonance Imaging (QdMRI) Yubing Tong, PhD; Jayaram K. Udupa, PhD; Joseph M. McDonough, MS; Caiyun Wu, MS; Catherine Qiu, MS; Carina Lott, MS; Nirupa Galagedera, BA; Jason B. Anari, MD; Drew A. Torigian, MA; Patrick J. Cahill, MD, Best Basic Science paper in Scoliosis Research Society (SRS) 55th Annual Meeting online, Sep. 9 - Sep. 13, 2020.
2. Pulmonary Hypertension (PH) and Thoracic Cage Function in Patients with Early Onset Scoliosis: Assessment with Quantitative Dynamic Magnetic Resonance Imaging (QdMRI) Yubing Tong, PhD; Jayaram K. Udupa, PhD; Joseph M. McDonough, MS; Caiyun Wu, MS; Catherine Qiu, MS; Carina Lott, MS; Nirupa Galagedera, BA; Catherine M. Avitabile, MD; Jason B. Anari, MD; Drew A. Torigian, MA; Patrick J. Cahill, MD, Scoliosis Research Society (SRS) 55th Annual Meeting online, Sep. 9 - Sep. 13, 2020.
3. Rib-based Anchors do not Impair Chest Wall Motion in Early Onset Scoliosis, Yubing Tong, PhD; Jayaram K. Udupa, PhD; Joseph M. McDonough, MS; Caiyun Wu, MS; Catherine Qiu, MS; Carina Lott, MS; Nirupa Galagedera, BA; Jason B. Anari, MD; Drew A. Torigian, MA; Patrick J. Cahill, MD, 14th International Congress on Early Onset Scoliosis (2020 ICEOS Virtual Meeting). The abstract was selected for a live oral presentation in the awards section.Nov. 14, 2020.
Publications in 2019:
News from Radiology website about our paper at Radiology 2019"Quantitative dynamic lung MRI (QdMRI) study of pediatric patients with thoracic insufficient syndrome", click the link here for the news in details.
Patents
1. Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Drew Torigian et al.,“Quantification And Staging Of Body-Wide Tissue Composition And Of Abnormal States On Medical Images Via Automatic Anatomy Recognition”, U.S. Patent Application No. 16/271,949, Filed February 11, 2019.
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Papers:
1. Tong Y, Uduap JK, Torigian DA, Cahill PJ, Quantitative Dynamic Thoracic MRI (QdMRI) on Normal Children and Pediatric Patients with Thoracic Insufficiency Syndrome (TIS): Quantitative Evaluation of Vertical Expandable Prosthetic Titanium Rib (VEPTR)-based Surgery, RSNA, 12/2/19, (Oral presentation).
2. Anderson MR, Udupa JK, Edwin EA, Diamond JM, Singer JP, Kukreja J, Hays SR, Greenland JR, Ferrante AW, Lippel M, Blue T, McBurnie A, Oyster M, Kalman L, Rushefski M, Wu C, Pednekar G, Liu W, Arcasoy S, Sonett J, D’Ovidio F, Bacchetta M, Newell JD, Torigian D, Cantu E, Farber DL, Giles JT, Tong Y, Palmer S, Ware LB, Hancock WW, Christie JD, Lederer DJ. Adipose tissue quantification and primary graft dysfunction after lung transplantation: The Lung Transplant Body Composition Study. Journal of Heart and Lung Transplantation, 2019; in press
3. Auto-labeling of respiratory time points in free-breathing thoracic dynamic MR image acquisitions for 4D image construction, Changjian Sun, Jilin Univ. (China) and Univ. of Pennsylvania (USA); Yubing Tong, Jayaram K. Udupa, Caiyun Wu, Univ. of Pennsylvania (USA); Shuxu Guo, Jilin Univ. (China); Joseph M. McDonough, The Children’s Hospital of Philadelphia (USA); Drew A. Torigian, Univ. of Pennsylvania (USA); Robert M. Campbell, The Children’s Hospital of Philadelphia (USA), SPIE 2019, Medical Imaging............[10953-45] (download, pdf)
4. A machine learning algorithm for detecting abnormal respiratory cycles in thoracic dynamic
MR image acquisitions, Jayaram K. Udupa, Univ. of Pennsylvania (USA); Changjian Sun, Jilin Univ.
(China) and Univ. of Pennsylvania (USA); Yubing Tong, Caiyun Wu, Univ. of Pennsylvania (USA); Shuxu Guo, Jilin Univ. (China); Drew A. Torigian, Univ. of Pennsylvania (USA); Robert M. Campbell
Jr., The Children’s Hospital of Philadelphia (USA), SPIE 2019, Medical Imaging...............[10948-160] (download, pdf)
5. Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning, Yubing Tong, Jayaram K. Udupa, Drew A. Torigian, Univ. of Pennsylvania (USA), SPIE 2019, Medical Imaging[10951-94] (download, pdf)
6.Tiange Liu, Jayaram Udupa, Qiguang Miao, Yubing Tong, and Drew Torigian, Quantification of body-torso-wide tissue composition on low-dose CT images via Automatic Anatomy Recognition, Medical Physics, 2019 (Accepted, download pdf ).
7.*Peirui Bai, Jayaram K Udupa, *Yubing Tong, Shipeng Xie, Drew A. Torigian. Body region localization in whole-body PET/CT scans using virtual landmarks, 2019 (Accepted, *co-first authorship, download pdf).
8. Tong, YB, Udupa, JK et al. Body-Wide Disease Quantification on PET/CT Images without Explicit Object Delineation, Medical Image Analysis, 2019 (Accepted, download pdf).
9. Tong, YB, Udupa, JK et al. Quantitative dynamic lung MRI (QdMRI) study of pediatric patients with thoracic insufficient syndrome, Radiology, 2019 (Accepted, download pdf), for this publication, the review and commentary -Editorial (download editoral commentary, pdf)
10 Xingyu Wu, Jayaram K Udupa, Yubing Tong, Dewey Odhner et al. AAR-RT-A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design and large-scale evaluation on head-and-neck and thoracic cancer cases, Medical Image Analysis, 2019 (Accepted,download pdf ) , link for download:
https://doi.org/10.1016/j.media.2019.01.008
11. H. Pan, M. Anderson, J. Diamond, S. Palmer, M. Oyster, D. Torigian, M. Porteous, S. Arcasoy, Y. Tong, J. Udupa, J. Christie, S. M. Kawut, D. Lederer, N. Al-Naamani. Subcutaneous adipose tissue is associated with presence of pulmonary hypertension in advanced lung disease. American Thoracic Society International Conference, May 2009. (Accepted, poster presentation)
Publications in 2018:
1. Yubing Tong, Chuang Wang, Jayaram K. Udupa, Caiyun Wu, Gargi Pednekar, Michaela D. Restivo,David J. Lederer, Jason D. Christie, Drew A. Torigian,Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach, SPIE 2018, Medical Imaging (Accepted, download pdf).
2. Yubing Tong, Jayaram K. Udupa, E. Paul Wileyto, Caiyun Wu, Joseph M. McDonough, Anthony Capraro, Oscar H. Mayer, Drew A. Torigian, Robert M. Campbell Jr., Quantitative dynamic MRI (QdMRI) volumetric analysis of pediatric patients with thoracic insufficiency syndrome, SPIE 2018, Medical Imaging (Accepted, download pdf).
3. Yubing Tong, Jayaram K. Udupa, Xingyu Wu, Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning, SPIE 2018, Medical Imaging (Accepted, download pdf).
4. Fengxia Yan, Jayaram K. Udupa, Yubing Tong, et al. Automatic anatomy recognition using neural network learning of object relationships via virtual landmarks, SPIE 2018, Medical Imaging (Accepted, download pdf).
5. Xingyu Wu, Jayaram K. Udupa, Yubing Tong. Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images, SPIE 2018, Medical Imaging (Accepted, download pdf).
6. Basavaraj N. Jagadale, Jayaram K. Udupa, Yubing Tong, Caiyun Wu, MRI in thoracic insufficiency syndrome to assess changes following surgical intervention, SPIE 2018, Medical Imaging (Accepted, download pdf).
7. Jie Song, Jayaram K. Udupa, Yubing Tong, Architectural analysis on dynamic MRI to study thoracic insufficiency syndrome, SPIE 2018, Medical Imaging (Accepted, download pdf).
8. Gargi V. Pednekar, Jayaram K. Udupa, David J. McLaughlin, Xingyu Wu, Yubing Tong. Image quality and segmentation, SPIE 2018, Medical Imaging (Accepted, download pdf).
9. Guoping Xu, Jayaram K. Udupa, Yubing Tong, Dewey Odher et al. Thoracic lymph node station recognition on CT images based on automatic anatomy recognition with an optimal parent strategy, SPIE 2018, Medical Imaging (Accepted, download pdf).
10. Wang,C., Udupa, JK, Tong, YB. et al. Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach, SPIE 2018, Medical Imaging (Accepted, download pdf).
11. Udupa, JK. Tong, YB et al. Understanding respiratory restrictions as a function of the scoliotic spinal curve in thoracic insufficiency syndrome: A 4D dynamic MR imaging study, JPO, 2018 (Accepted, download pdf).
12. Tong, YB, Udupa, JK et al. Radiomics-guided therapy for bladder cancer: Using an Optimal Biomarker Approach to determine extent of bladder cancer invasion from T2-weighted MR images, Advanced Radiation Ocology, 2018 (Accepted, download pdf)
Publication in (2017)
[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
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[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).
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[5]Yubing Tong, Jayaram K. Udupa, et al. Virtual landmarks. SPIE Medical Imaging 2017 (Accepted, pdf).
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[6]Yubing Tong, Jayaram K. Udupa, et al. Disease quantification on PET/CT images without object delineation. SPIE Medical Imaging 2017 (Accepted, pdf).
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[7] Peirui Bai, Jayaram K. Udupa, Yubing Tong et al. Automatic thoracic body region localization. SPIE Medical Imaging 2017 (Accepted, pdf).
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[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).
Before 2017
Patents:
[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).
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[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, Patent. No.: US10043250 B2, granted, Aug. 7, 2018, download pdf).
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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 ).
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[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 ).
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[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 ).
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[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].
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[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].
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[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)
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[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 Approximation，Journal 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.
[1] Yubing Tong, Jayaram K. Udupa et al. Fat segmentation on chest CT images via Fuzzy models, SPIE2016, Medical Imaging(Accepted, pdf ).
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[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.
[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.
[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.
[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.
[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.Tong，Q.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.
[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).
.
.