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Pradeep, T., Kalra, G., Leader, J.K., McCoy, J., Dixit, R., Dohar, J., Tobey, A., Sahel, J.A., Pu, J., & Fu, R. (2021). Lesion-Mapping Software for the Measurement of Subperiosteal Abscess Volume for Pediatric Orbital Cellulitis: A Retrospective Chart Review. Ophthalmol Ther, 10(2), 261-271.Springer Nature. doi: 10.1007/s40123-021-00333-6.
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. Eur Radiol, 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 optic disc from fundus images using an asymmetric deep learning network. Pattern Recognit, 112, 107810.Elsevier. doi: 10.1016/j.patcog.2020.107810.
Cuneo, A., Mato, A.R., Rigolin, G.M., Piciocchi, A., Gentile, M., Laurenti, L., Allan, J.N., Pagel, J.M., Brander, D.M., Hill, B.T., Winter, A., Lamanna, N., Tam, C.S., Jacobs, R., Lansigan, F., Barr, P.M., Shadman, M., Skarbnik, A.P., Pu, J.J., Sehgal, A.R., Schuster, S.J., Shah, N.N., Ujjani, C.S., Roeker, L., Orlandi, E.M., Billio, A., Trentin, L., Spacek, M., Marchetti, M., Tedeschi, A., Ilariucci, F., Gaidano, G., Doubek, M., Farina, L., Molica, S., Di Raimondo, F., Coscia, M., Mauro, F.R., de la Serna, J., Medina Perez, A., Ferrarini, I., Cimino, G., Cavallari, M., Cucci, R., Vignetti, M., Foà, R., Ghia, P., & GIMEMA, European Research Initiative (ERIC) on CLL, US study group. (2020). Efficacy of bendamustine and rituximab in unfit patients with previously untreated chronic lymphocytic leukemia. Indirect comparison with ibrutinib in a real-world setting. A GIMEMA-ERIC and US study. Cancer Med, 9(22), 8468-8479.Wiley. doi: 10.1002/cam4.3470.
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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?. Eur Radiol, 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. Occup Environ Med, 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. J Med Imaging (Bellingham), 7(5), 051202.SPIE, the international society for optics and photonics. doi: 10.1117/1.JMI.7.5.051202.
Zhang, J., Du, Y., Bai, L., Pu, J., Jin, C., Yang, J., & Guo, Y. (2020). An Asymptomatic Patient with COVID-19. Am J Respir Crit Care Med, 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, 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. Comput Med Imaging Graph, 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. Respir Res, 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. Biomed Signal Process 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). Erratum to "Vasculature surrounding a nodule: A novel lung cancer biomarker" [Lung Cancer 114 (December) (2017) 38-43]. 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. Comput Med Imaging Graph, 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 Recognit, 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. Inf Sci (N Y), 418-419, 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. J Thorac Dis, 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. J Thorac Cardiovasc Surg, 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. Clin Radiol, 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. Med Phys, 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. Ann Biomed Eng, 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. Phys Med Biol, 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. Physiol Meas, 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. Comput Med Imaging Graph, 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. Med Phys, 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 Inform, 13(Suppl 1), 17-27.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. Med Phys, 41(8), 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. Int J Comput Assist Radiol Surg, 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. Phys Med Biol, 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. Med Phys, 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. Med Image Anal, 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. Eur Radiol, 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. Eur Radiol, 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. Int J Biomed 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. Comput Med Imaging Graph, 36(7), 560-571.Elsevier. doi: 10.1016/j.compmedimag.2012.06.001.
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Pu, J., & Gur, D. (2009). Automated Freehand Sketch Segmentation Using Radial Basis Functions. Comput Aided Des, 41(12), 857-864.Elsevier. doi: 10.1016/j.cad.2009.05.005.
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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., 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.
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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.
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