[1] Yiyu Zhang, Hongming Li, Qiang Zheng*, “A comprehensive characterization of hippocampal feature ensemble serves as individualized brain signature for Alzheimer’s disease: deep learning analysis in 3238 participants worldwide”, European Radiology, online ahead of print, 2023. (IF=7.034)

[2] Qiang Zheng, Bin Liu, Yan Gao, Lijun Bai, Yu Cheng, Honglun Li, “HGM-cNet: Integrating hippocampal gray matter probability map into a cascaded deep learning framework improves hippocampus segmentation”, European Journal of Radiology, online ahead of print, 2023. (IF=4.531)

[3] Xiaolin Jiang, Shuai Wang, Qiang Zheng*, “Deep-learning measurement of intracerebral haemorrhage with mixed precision training: a coarse-to-fine study”, Clinical Radiology, 78(4): e328-e335, 2023. (IF=3.389)

[4] Qiang Zheng, Bin Liu, Xiangrong Tong, Jungang Liu, Jian Wang, Lin Zhang, “Automated measurement of leg length discrepancy from infancy to adolescence based on cascaded LLDNet and comprehensive assessment”, Quantitative Imaging in Medicine and Surgery, 13(2): 852, 2023. (IF=4.63)

[5] Qiang Zheng, Yiyu Zhang, Honglun Li, Xangrong Tong, Minhui Ouyang, “How segmentation methods affect hippocampal radiomic feature accuracy in Alzheimer’s disease analysis?” European Radiology, 2022 (IF=7.034)

[6] Yuanyuan Liu, Cunying Cui, Yannan Li, Ying Wang, Yanbin Hu, Minfu Bai, Danqing Huang, Qiang Zheng*, Lin Liu*, “Predictive value of the echocardiographic noninvasive myocardial work index for left ventricular reverse remodeling in patients with multivessel coronary artery disease after percutaneous coronary intervention,” Quantitative Imaging in Medicine and Surgery, 2022 (IF=4.63)

[7] Kun Zhao, Qiang Zheng, Martin Dyrba, Timothy Rittman, Ang Li, Tongtong Che, Pindong Chen, Yuqing Sun, Xiaopeng Kang, Qiongling Li, Bing Liu, Yong Liu, Shuyu Li, “Regional radiomics similarity networks reveal distinct subtypes and abnormality patterns in mild cognitive impairment,” Advanced Science, 2022 (IF=17.521)

[8] Yanan Li, Qiang Zheng*, Cunying Cui, Yuanyuan Liu, Yanbin Hu, Danqing Huang, Ying Wang, Jun Liu, Lin Liu*, “Application value of myocardial work technology by non-invasive echocardiography in evaluating left ventricular function in patients with chronic heart failure,” Quantitative Imaging in Medicine and Surgery, 2022 (IF=4.63)

[9] Qiang Zheng, Zhipu Ge, Han Du, Gang Li, “Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam computed tomography by deep learning,” International Journal of Legal Medicine, 2021. (法医TOP期刊, IF=2.791)

[10] Qiang Zheng, C.W. Freeman, M. Hwang, “Sex-related differences in arterial spin-labelled perfusion of metabolically active brain structures in neonatal hypoxic–ischaemic encephalopathy,” Clinical Radiology, 2021. (IF=3.389)

[11] Qiang Zheng, Maxim Itkin, Yong Fan, “Quantification of thoracic lymphatic flow patterns using dynamic contrast-enhanced MR Lymphangiography,” Radiology, vol. 296, no. 1, pp.202-207, Apr 2020. (影像学TOP期刊，IF=29.146)

[12] Qiang Zheng, Sphoorti Shellikeri, Hao Huang, Misun Hwang, Raymond W Sze, “Deep learning measurement of leg length discrepancy in children based on radiographs,” Radiology, vol. 296, no.1, pp.152-158, Apr 2020. (影像学TOP期刊，IF=29.146)

[13] Qiang Zheng, Juan Sebastian Martin-Saavedra, Sandra Saade-Lemus, Arastoo Vossough, Giulio Zuccoli, Fabrício Guimarães Gonçalves, Colbey W Freeman, Minhui Ouyang, Varun Singh, Michael A Padula, Sara B Demauro, John Flibotte, Eric C Eichenwald, John A Detre, Raymond Wang Sze, Hao Huang, Misun Hwang, “Cerebral Pulsed Arterial Spin Labeling Perfusion Weighted Imaging Predicts Language and Motor Outcomes in Neonatal Hypoxic-Ischemic Encephalopathy,” Frontiers in Pediatrics, vol. 8, pp. 576489-576489, Sep 2020. (IF=3.569)

[14] Qiang Zheng, C.W. Freeman, M. Hwang, Radiologic-pathologic evidence of brain injury: Hypoperfusion in the Papez circuit results in poor neurodevelopmental outcomes in neonatal hypoxic-ischemic encephalopathy, Childs Nervous System, vol.37, no. 1, pp. 63-68, Jul 2020. (IF=1.532)

[15] Qiang Zheng, Susan Furth, Gregory Tasian, Yong Fan, "Computer aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features", Journal of Pediatric Urology, vol.15, no.1, pp.e1-e7, Feb 2019. (IF=1.921)

[16] Qiang Zheng, Yihong Wu, Yong Fan, "Integrating semi-supervised and supervised learning methods for label fusion in multi-atlas based image segmentation", Frontiers in Neuroinformatics, vol. 12, no. 69, pp. 1-11, Oct 2018. (IF=3.739)

[17] Qiang Zheng, Honglun Li, Baode Fan, Shuanhu Wu, Jindong Xu, “Integrating support vector machine and graph cuts for medical image segmentation,” Journal of Visual Communication and Image Representation, vol. 55, pp. 157-165, Aug 2018. (IF=2.887)

[18] Qiang Zheng, Steven Warner, Gregory Tasian, Yong Fan*, "A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images," Academic Radiology, vol.25, no.9, pp.1136-1145, Sep 2018. (IF=5.482)

[19] Henry Cheng, Qiang Zheng, Xiaofeng Zhu, Amanda M. Smith, Yiwen Qian, Rupal O’Quinn, Frank Silvestry, Yuchi Han, Marielle Scherrer-Crosbie, Victor Ferrari, Kevin Duffy, Dinesh Jagasia, Christos Davatzikos, Yong Fan, and Bonnie Ky, "The use of machine learning for predict Doxorubicin cardiotoxicity, " vol.71, no. 11, Journal of the American College of Cardiology, 2018. (IF=27.203)

[20] Qiang Zheng*, Honglun Li, Baode Fan, Shuanhu Wu, Jindong Xu, Zhulou Cao, “Modified localized multiplicative graph cuts based active contour model for object segmentation based on dynamic narrow band scheme,” Biomedical Signal Processing and Control, vol. 33, pp. 119-131, Mar 2017. (IF=5.076)

部分会议报告：

[1] Qiang Zheng, Chenying Zhao, Minhui Ouyang, Arastoo Vossough, Giulio Zuccoli, Raymond Wang Sze, Hao Huang, Misun Hwang, “Decreased fractional anisotropy in the diffusion tensor imaging of neonatal hypoxic-ischemic encephalopathy with normal conventional MRI,” International Society for Magnetic Resonance in Medicine (ISMRM) 2020 Annual meeting, April 18-23, Poster. (Abstract)

[2] Qiang Zheng, Angela N. Viaene, Colbey W. Freeman, Misun Hwang, “Radiologic-pathologic evidence of brain injury: Hypoperfusion in the Papez circuit results in poor neurodevelopmental outcomes in neonatal hypoxic ischemic encephalopathy,” The Society for Pediatric Radiology (SPR) 2020 Annual meeting, May 9-15, Oral. (Abstract)

[3] Qiang Zheng, Shellikeri, Sphoorti, Misun Hwang, Raymond Sze, Automatic Measurement of Leg Length Discrepancies in Pediatric Patients on X-Ray Imaging using Deep Learning, RSNA 2019, Oral. (Abstract)

[4] Qiang Zheng, Minhui Ouyang, Juan Sebastian Martin-Saavedra, Sandra Saade-Lemus, Qinlin Yu, Raymond Wang Sze, John Flibotte, John Detre, Hao Huang, Misun Hwang, "Increased brain perfusion in neonatal hypoxic ischemic injury with negative reading of DWI, T1/T2-weighted images: Implications of perfusion MRI for reperfusion response monitoring and prognostication," International Society for Magnetic Resonance in Medicine (ISMRM) 2019 Annual meeting, May 11-16, Oral power pitch presentation. (Abstract)

[5] Qiang Zheng, Juan S. Martin-Saavedra, Minhui Ouyang, Sandra Saade-Lemus, Qinlin Yu, Hao Huang, Raymond Sze, Misun Hwang, "Quantitative ASL perfusion method for detection of neonatal hypoxic ischemic injury as reference standard for developing contrast-enhanced ultrasound," The Society of Pediatric Radiology (SPR) 2019 Annual Meeting, Apr 30-May 4, Oral. (Abstract)

[6] Qiang Zheng, Juan S. Martin-Saavedra, Minhui Ouyang, Sandra Saade-Lemus, Qinlin Yu, Hao Huang, Raymond Sze, Misun Hwang, "Region-specific perfusion alterations in neonatal hypoxic ischemic injury evaluated with arterial spin labeling MRI," The Society of Pediatric Radiology (SPR) 2019 Annual Meeting, Apr 30-May 4, Oral. (Abstract)

[7] Qiang Zheng, Yong Fan*, "Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation," IEEE 15th International Symposium on Biomedical Imaging (ISBI), pp. 154-157, Washington DC, USA, Apr 4-7, 2018. (Full paper)

[8] Qiang Zheng, Gregory Tasian, Yong Fan*, "Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging," IEEE 15th International Symposium on Biomedical Imaging (ISBI), pp. 1487-1490, Washington DC, USA, Apr 4-7, 2018. (Full paper)

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