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Pu, J., Leader, J.K., Bandos, A., Ke, S., Wang, J., Shi, J., Du, P., Guo, Y., Wenzel, S.E., Fuhrman, C.R., Wilson, D.O., Sciurba, F.C., & Jin, C. (2021). Automated quantification of COVID-19 severity and progression using chest CT images. EUROPEAN RADIOLOGY, 31(1), 436-446.Springer Nature. doi: 10.1007/s00330-020-07156-2.
Wang, L., Gu, J., Chen, Y., Liang, Y., Zhang, W., Pu, J., & Chen, H. (2021). Automated segmentation of the opt ic disc from fundus images using an asymmetric deep learning network. PATTERN RECOGNITION, 112, 107810.Elsevier. doi: 10.1016/j.patcog.2020.107810.
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Pu, J., Leader, J., Bandos, A., Shi, J., Du, P., Yu, J., Yang, B., Ke, S., Guo, Y., Field, J.B., Fuhrman, C., Wilson, D., Sciurba, F., & Jin, C. (2020). Any unique image biomarkers associated with COVID-19?. EUROPEAN RADIOLOGY, 30(11), 6221-6227.Springer Nature. doi: 10.1007/s00330-020-06956-w.
Wang, X., Yu, J., Zhu, Q., Li, S., Zhao, Z., Yang, B., & Pu, J. (2020). Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography. Occupational and Environmental Medicine, 77(9), 597-602.BMJ. doi: 10.1136/oemed-2019-106386.
Yu, J., Yang, B., Wang, J., Leader, J., Wilson, D., & Pu, J. (2020). 2D CNN versus 3D CNN for false-positive reduction in lung cancer screening. JOURNAL OF MEDICAL IMAGING, 7(5), 051202.SPIE, the international society for optics and photonics. doi: 10.1117/1.JMI.7.5.051202.
Zhang, J., Du, Y., Pu, J., Jin, C., Yang, J., Guo, Y., & Bai, L. (2020). An Asymptomatic Patient with COVID-19. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 201(11), 1428-1429.American Thoracic Society. doi: 10.1164/rccm.202002-0241IM.
Zhen, Y., Chen, H., Zhang, X., Meng, X., Zhang, J., & Pu, J. (2020). ASSESSMENT OF CENTRAL SEROUS CHORIORETINOPATHY DEPICTED ON COLOR FUNDUS PHOTOGRAPHS USING DEEP LEARNING. RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES, 40(8), 1558-1564.Wolters Kluwer. doi: 10.1097/IAE.0000000000002621.
Liu, H., Wang, L., Nan, Y., Jin, F., Wang, Q., & Pu, J. (2019). SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images. Computerized Medical Imaging and Graphics, 75, 66-73.Elsevier. doi: 10.1016/j.compmedimag.2019.05.005.
O'Brien, M.E., Chandra, D., Wilson, R.C., Karoleski, C.M., Fuhrman, C.R., Leader, J.K., Pu, J., Zhang, Y., Morris, A., Nouraie, S., Bon, J., Urban, Z., & Sciurba, F.C. (2019). Loss of skin elasticity is associated with pulmonary emphysema, biomarkers of inflammation, and matrix metalloproteinase activity in smokers. RESPIRATORY RESEARCH, 20(1), 128.Springer Nature. doi: 10.1186/s12931-019-1098-7.
Raghu, V.K., Zhao, W., Pu, J., Leader, J.K., Wang, R., Herman, J., Yuan, J.M., Benos, P.V., & Wilson, D.O. (2019). Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models. THORAX, 74(7), 643-649.BMJ. doi: 10.1136/thoraxjnl-2018-212638.
Wang, L., Liu, H., Lu, Y., Chen, H., Zhang, J., & Pu, J. (2019). A coarse-to-fine deep learning framework for optic disc segmentation in fundus images. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 51, 82-89.Elsevier. doi: 10.1016/j.bspc.2019.01.022.
Wang, X., Leader, J.K., Wang, R., Wilson, D., Herman, J., Yuan, J.M., & Pu, J. (2019). Vasculature surrounding a nodule: A novel lung cancer biomarker (vol 114, pg 38, 2017). LUNG CANCER, 135, 234.Elsevier. doi: 10.1016/j.lungcan.2019.07.018.
Zhao, W., Liu, H., Leader, J.K., Wilson, D., Meng, X., Wang, L., Chen, L.A., & Pu, J. (2019). Computerized identification of the vasculature surrounding a pulmonary nodule. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 74, 1-9.Elsevier. doi: 10.1016/j.compmedimag.2019.03.002.
Wang, L., Chen, G., Shi, D., Chang, Y., Chan, S., Pu, J., & Yang, X. (2018). Active contours driven by edge entropy fitting energy for image segmentation. SIGNAL PROCESSING, 149, 27-35.Elsevier. doi: 10.1016/j.sigpro.2018.02.025.
Wang, L., Zhu, J., Sheng, M., Cribb, A., Zhu, S., & Pu, J. (2018). Simultaneous segmentation and bias field estimation using local fitted images. PATTERN RECOGNITION, 74, 145-155.Elsevier. doi: 10.1016/j.patcog.2017.08.031.
Grace, J., Leader, J.K., Nouraie, S.M., Pu, J., Chandra, D., Zhang, Y., Sciurba, F.C., & Bon, J. (2017). Mediastinal and Subcutaneous Chest Fat Are Differentially Associated with Emphysema Progression and Clinical Outcomes in Smokers. RESPIRATION, 94(6), 501-509.Karger Publishers. doi: 10.1159/000479886.
Wang, L., Chang, Y., Wang, H., Wu, Z., Pu, J., & Yang, X. (2017). An active contour model based on local fitted images for image segmentation. INFORMATION SCIENCES, 418, 61-73.Elsevier. doi: 10.1016/j.ins.2017.06.042.
Wang, X., Leader, J.K., Wang, R., Wilson, D., Herman, J., Yuan, J.M., & Pu, J. (2017). Vasculature surrounding a nodule: A novel lung cancer biomarker. LUNG CANCER, 114, 38-43.Elsevier. doi: 10.1016/j.lungcan.2017.10.008.
Wilson, D.O., & Pu, J. (2016). The bell tolls for indeterminant lung nodules: computer-aided nodule assessment and risk yield (CANARY) has the wrong tune. JOURNAL OF THORACIC DISEASE, 8(8), E836-E837.AME Publishing Company. doi: 10.21037/jtd.2016.07.85.
Chan, E.G., Landreneau, J.R., Schuchert, M.J., Odell, D.D., Gu, S., Pu, J., Luketich, J.D., & Landreneau, R.J. (2015). Preoperative (3-dimensional) computed tomography lung reconstruction before anatomic segmentectomy or lobectomy for stage I non-small cell lung cancer. JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 150(3), 523-528.Elsevier. doi: 10.1016/j.jtcvs.2015.06.051.
Gu, S., Li, R., Leader, J.K., Zheng, B., Bon, J., Gur, D., Sciurba, F., Jin, C., & Pu, J. (2015). Obesity and extent of emphysema depicted at CT. Clinical Radiology, 70(5), e14-e19.Elsevier. doi: 10.1016/j.crad.2015.01.007.
Pu, J., Jin, C., Yu, N., Qian, Y., Wang, X., Meng, X., & Guo, Y. (2015). A "loop" shape descriptor and its application to automated segmentation of airways from CT scans. MEDICAL PHYSICS, 42(6), 3076-3084.Wiley. doi: 10.1118/1.4921139.
Tan, M., Pu, J., Cheng, S., Liu, H., & Zheng, B. (2015). Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk. ANNALS OF BIOMEDICAL ENGINEERING, 43(10), 2416-2428.Springer Nature. doi: 10.1007/s10439-015-1316-5.
Tan, M., Qian, W., Pu, J., Liu, H., & Zheng, B. (2015). A new approach to develop computer-aided detection schemes of digital mammograms. PHYSICS IN MEDICINE AND BIOLOGY, 60(11), 4413-4427.IOP Publishing. doi: 10.1088/0031-9155/60/11/4413.
Gu, S., Leader, J., Zheng, B., Chen, Q., Sciurba, F., Kminski, N., Gur, D., & Pu, J. (2014). Direct assessment of lung function in COPD using CT densitometric measures. PHYSIOLOGICAL MEASUREMENT, 35(5), 833-845.IOP Publishing. doi: 10.1088/0967-3334/35/5/833.
Gu, S., Meng, X., Sciurba, F.C., Ma, H., Leader, J., Kaminski, N., Gur, D., & Pu, J. (2014). Bidirectional elastic image registration using B-spline affine transformation. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 38(4), 306-314.Elsevier. doi: 10.1016/j.compmedimag.2014.01.002.
Ju, J., Li, R., Gu, S., Leader, J.K., Wang, X., Chen, Y., Zheng, B., Wu, S., Gur, D., Sciurba, F., & Pu, J. (2014). Impact of Emphysema Heterogeneity on Pulmonary Function. In Bogaard, H. (Ed.). PLOS ONE, 9(11), e113320.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0113320.
Pu, J., Wang, Z., Gu, S., Fuhrman, C., Leader, J.K., Meng, X., Tedrow, J., & Sciurba, F.C. (2014). Pulmonary Fissure Integrity and Collateral Ventilation in COPD Patients. In Idzko, M. (Ed.). PLOS ONE, 9(5), e96631.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0096631.
Qiang, Y., Wang, Q., Xu, G., Ma, H., Deng, L., Zhang, L., Pu, J., & Guo, Y. (2014). Computerized segmentation of pulmonary nodules depicted in CT examinations using freehand sketches. MEDICAL PHYSICS, 41(4), 041917.Wiley. doi: 10.1118/1.4869265.
Tan, M., Pu, J., & Zheng, B. (2014). Optimization of Network Topology in Computer-Aided Detection Schemes Using Phased Searching with NEAT in a Time-Scaled Framework. Cancer Informatics, 13s1(Suppl 1), cin.s13885.SAGE Publications. doi: 10.4137/cin.s13885.
Tan, M., Pu, J., & Zheng, B. (2014). A new and fast image feature selection method for developing an optimal mammographic mass detection scheme. Medical Physics, 41(8Part1), 081906.Wiley. doi: 10.1118/1.4890080.
Tan, M., Pu, J., & Zheng, B. (2014). Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. International Journal of Computer Assisted Radiology and Surgery, 9(6), 1005-1020.Springer Nature. doi: 10.1007/s11548-014-0992-1.
Tan, M., Pu, J., & Zheng, B. (2014). Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme. Physics in Medicine and Biology, 59(15), 4357-4373.IOP Publishing. doi: 10.1088/0031-9155/59/15/4357.
Zhen, Y., Gu, S., Meng, X., Zhang, X., Zheng, B., Wang, N., & Pu, J. (2014). Automated identification of retinal vessels using a multiscale directional contrast quantification (MDCQ) strategy. MEDICAL PHYSICS, 41(9), 092702.Wiley. doi: 10.1118/1.4893500.
Gu, S., Fuhrman, C., Meng, X., Siegfried, J.M., Gur, D., Leader, J.K., Sciurba, F.C., & Pu, J. (2013). Computerized identification of airway wall in CT examinations using a 3D active surface evolution approach. MEDICAL IMAGE ANALYSIS, 17(3), 283-296.Elsevier. doi: 10.1016/j.media.2012.11.003.
Kundu, S., Gu, S., Leader, J.K., Tedrow, J.R., Sciurba, F.C., Gur, D., Kaminski, N., & Pu, J. (2013). Assessment of lung volume collapsibility in chronic obstructive lung disease patients using CT. EUROPEAN RADIOLOGY, 23(6), 1564-1572.Springer Nature. doi: 10.1007/s00330-012-2746-1.
Wang, Z., Gu, S., Leader, J.K., Kundu, S., Tedrow, J.R., Sciurba, F.C., Gur, D., Siegfried, J.M., & Pu, J. (2013). Optimal threshold in CT quantification of emphysema. EUROPEAN RADIOLOGY, 23(4), 975-984.Springer Nature. doi: 10.1007/s00330-012-2683-z.
Gu, S., Wang, Z., Siegfried, J.M., Wilson, D., Bigbee, W.L., & Pu, J. (2012). Automated Lobe‐Based Airway Labeling. International Journal of Biomedical Imaging, 2012(1), 382806.Hindawi. doi: 10.1155/2012/382806.
Gu, S., Wilson, D., Wang, Z., Bigbee, W.L., Siegfried, J., Gur, D., & Pu, J. (2012). Identification of pulmonary fissures using a piecewise plane fitting algorithm. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 36(7), 560-571.Elsevier. doi: 10.1016/j.compmedimag.2012.06.001.
Meng, X., Qiang, Y., Zhu, S., Fuhrman, C., Siegfried, J.M., & Pu, J. (2012). Illustration of the obstacles in computerized lung segmentation using examples. MEDICAL PHYSICS, 39(8), 4984-4991.Wiley. doi: 10.1118/1.4737023.
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Gu, S., Wilson, D., Tan, J., & Pu, J. (2011). Pulmonary nodule registration: Rigid or nonrigid?. MEDICAL PHYSICS, 38(7), 4406-4414.Wiley. doi: 10.1118/1.3602457.
Pu, J., Fuhrman, C., Good, W.F., Sciurba, F.C., & Gur, D. (2011). A Differential Geometric Approach to Automated Segmentation of Human Airway Tree. IEEE TRANSACTIONS ON MEDICAL IMAGING, 30(2), 266-278.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMI.2010.2076300.
Pu, J., Paik, D.S., Meng, X., Roos, J.E., & Rubin, G.D. (2011). Shape "Break-and-Repair" Strategy and Its Application to Automated Medical Image Segmentation. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 17(1), 115-124.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TVCG.2010.56.
Pu, J., Fuhrman, C., Durick, J., Leader, J.K., Klym, A., Sciurba, F.C., & Gur, D. (2010). Computerized assessment of pulmonary fissure integrity using high resolution CT. MEDICAL PHYSICS, 37(9), 4661-4672.Wiley. doi: 10.1118/1.3475937.
Tan, J., Pu, J., Zheng, B., Wang, X., & Leader, J.K. (2010). Computerized comprehensive data analysis of Lung Imaging Database Consortium (LIDC). MEDICAL PHYSICS, 37(7), 3802-3808.Wiley. doi: 10.1118/1.3455701.
Park, S.C., Pu, J., & Zheng, B. (2009). Improving Performance of Computer-aided Detection Scheme by Combining Results From Two Machine Learning Classifiers. ACADEMIC RADIOLOGY, 16(3), 266-274.Elsevier. doi: 10.1016/j.acra.2008.08.012.
Pu, J., & Gur, D. (2009). Automated freehand sketch segmentation using radial basis functions. COMPUTER-AIDED DESIGN, 41(12), 857-864.Elsevier. doi: 10.1016/j.cad.2009.05.005.
Pu, J., Leader, J.K., Zheng, B., Knollmann, F., Fuhrman, C., Sciurba, F.C., & Gur, D. (2009). A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations. IEEE TRANSACTIONS ON MEDICAL IMAGING, 28(5), 710-719.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMI.2008.2010441.
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Pu, J., Zheng, B., Leader, J.K., & Gur, D. (2008). An ellipse-fitting based method for efficient registration of breast masses on two mammographic views. MEDICAL PHYSICS, 35(2), 487-494.Wiley. doi: 10.1118/1.2828188.
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Pu, J., & Ramani, K. (2007). Priority-based geometric constraint satisfaction. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 7(4), 322-329.ASME International. doi: 10.1115/1.2795301.
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Wang, L., Huang, Y., Lin, B., Wu, W., Chen, H., & Pu, J. (2019). Automatic Classification of Exudates in Color Fundus Images Using an Augmented Deep Learning Procedure. In Proceedings of the Third International Symposium on Image Computing and Digital Medicine, (pp. 31-35).Association for Computing Machinery (ACM). doi: 10.1145/3364836.3364843.
Wang, L., Liu, H., Zhang, J., Chen, H., & Pu, J. (2019). Automated segmentation of the optic disc using the deep learning. In Angelini, E.D., & Landman, B.A. (Eds.). In Progress in Biomedical Optics and Imaging, 10949, (p. 1094923-1094923-9).SPIE, the international society for optics and photonics. doi: 10.1117/12.2510372.
Wang, L., Liu, H., Zhang, J., Chen, H., & Pu, J. (2019). Computerized assessment of glaucoma severity based on color fundus images. In Gimi, B., & Krol, A. (Eds.). In Progress in Biomedical Optics and Imaging, 10953, (p. 1095322-1095322-9).SPIE, the international society for optics and photonics. doi: 10.1117/12.2510446.
Bon, J.M., Perera, S., Leader, J.K., Pu, J., Chandra, D., Zhang, Y., Fuhrman, C., & Sciurba, F.C. (2016). A Multilobar Visual Scoring System (mlvs) Responsive To Short Term Change In Lung CT Emphysema. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 193.
Grace, J., Leader, J.K., Pu, J., Chandra, D., Zhang, Y., Sciurba, F.C., & Bon, J.M. (2016). Chest Subcutaneous And Mediastinal Fat And Their Associations With Emphysema And Bone Mineral Density. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 193.
Bon, J., Leader, J.K., Zhang, Y., Chandra, D., Pu, J., Greenspan, S.L., & Sciurba, F. (2015). Body Composition Change Is Associated With Clinical Outcomes But Not Consistently With Body Mass Index Change In Patients With Smoking-Related Lung Disease. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 191.
Zheng, B., Qian, W., Li, L., Pu, J., Kang, Y., Lure, F., Tan, M., & Qiu, Y. (2015). A new CAD approach for improving efficacy of cancer screening. In Hadjiiski, L.M., & Tourassi, G.D. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 9414, (p. 941424-941424-7).SPIE, the international society for optics and photonics. doi: 10.1117/12.2076775.
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Gu, S., Zhen, Y., Wang, N., & Pu, J. (2013). Computerized detection of retina blood vessel using a piecewise line fitting approach. In Novak, C.L., & Aylward, S. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 8670, (p. 86702i-86702i-7).SPIE, the international society for optics and photonics. doi: 10.1117/12.2007786.
Hariharan, H., Wenzel, S., Zheng, B., Whiting, B., Pu, J., Gur, D., & Leader, J.K. (2013). Texture-based CT Image analysis of asthma. In Weaver, J.B., & Molthen, R.C. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 8672, (p. 86720d-86720d-6).SPIE, the international society for optics and photonics. doi: 10.1117/12.2006887.
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