A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study. - Sreeram Dhurjaty; Yuchen Qiu; Maxine Tan; Hong Liu 003; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment. - Rohith Reddy Gundreddy; Maxine Tan; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study. - Yuchen Qiu; Maxine Tan; Scott D. McMeekin; Theresa C. Thai; Kathleen N. Moore; Kai Ding; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

A new CAD approach for improving efficacy of cancer screening. - Bin Zheng 001; Wei Qian 001; Lihua Li 002; Jiantao Pu; Yan Kang; Fleming Lure; Maxine Tan; Yuchen Qiu (Computer-Aided Diagnosis, 2015)

An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study. - Yuchen Qiu; Xianglan Lu; Maxine Tan; Shibo Li; Hong Liu 003; Bin Zheng 001 (Digital Pathology, 2015)

An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology. - Yuchen Qiu; Yunzhi Wang 002; Shiju Yan; Maxine Tan; Samuel Cheng 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study. - Yuchen Qiu; Shiju Yan; Maxine Tan; Samuel Cheng 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients. - Yunzhi Wang 002; Yuchen Qiu; Theresa C. Thai; Kathleen N. Moore; Kai Ding; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. - Yunzhi Wang 002; Yuchen Qiu; Theresa C. Thai; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (BMC Medical Imaging, 2016)

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. - Nastaran Emaminejad; Wei Qian 001; Yubao Guan; Maxine Tan; Yuchen Qiu; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2016)

A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. - Maxine Tan; Zheng Li; Yuchen Qiu; Scott D. McMeekin; Theresa C. Thai; Kai Ding; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Medical Imaging, 2016)

Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. - Gopichandh Danala; Yunzhi Wang 002; Theresa C. Thai; Camille Gunderson; Katherine Moxley; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Computer-Aided Diagnosis, 2017)

Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images. - Yunzhi Wang 002; Yuchen Qiu; Theresa C. Thai; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2017)

Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction. - Shiju Yan; Yunzhi Wang 002; Faranak Aghaei; Yuchen Qiu; Bin Zheng 001 (Int. J. Comput. Assist. Radiol. Surg., 2017)

A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images. - Yunzhi Wang 002; Yuchen Qiu; Theresa C. Thai; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (Comput. Methods Programs Biomed., 2017)

Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. - Morteza Heidari; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. - Abolfazl Zargari Khuzani; Gopichandh Danala; Morteza Heidari; Yue Du; Najmeh Mashhadi; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification. - Yue Du; Roy Zhang; Abolfazl Zargari; Theresa C. Thai; Camille C. Gunderson; Katherine M. Moxley; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Digital Pathology, 2018)

Association of computer-aided detection results and breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2019)

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2019)

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. - Xuxin Chen; Abolfazl Zargari; Alan B. Hollingsworth; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Comput. Methods Programs Biomed., 2019)

Developing global image feature analysis models to predict cancer risk and prognosis. - Bin Zheng 001; Yuchen Qiu; Faranak Aghaei; Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala (Vis. Comput. Ind. Biomed. Art, 2019)

Residence and Workplace Recovery: User Privacy Risk in Mobility Data. - Yuchen Qiu; Yuanyuan Qiao 002; Aimin Zhang; Jie Yang 023 (ICDAR@ICMR, 2020)

Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. - Xuxin Chen; Wei Liu 116; Theresa C. Thai; Tara Castellano; Camille C. Gunderson; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Comput. Methods Programs Biomed., 2020)

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Int. J. Medical Informatics, 2020)

A Novel Ring-based Small-World NoC for Neuromorphic Processor. - Yuchen Qiu; Chao Xiao; LingHui Peng; Junhui Wang; Ziyang Kang; Shiming Li; Lei Wang 011 (ASAP, 2021)

Enhancing the Performance of Liquid State Machine with Time-Division Sampling and Reservoir Reconstructing. - Yuchen Qiu; Lei Wang 011; Xiaofan Chen; Lianhua Qu (HPCC/DSS/SmartCity/DependSys, 2021)

Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

Recent advances and clinical applications of deep learning in medical image analysis. - Xuxin Chen; Ximin Wang; Ke Zhang; Roy Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2021)

Early Rumor Detection Based on Deep Recurrent Q-Learning. - Wei Wang 076; Yuchen Qiu; Shichang Xuan; Wu Yang 001 (Secur. Commun. Networks, 2021)

Developing interactive computer-aided detection tools to support translational clinical research. - Gopichandh Danala; Seyedehnafiseh Mirniaharikandehei; Meredith A. Jones; Tiancheng Gai; Sai Kiran Reddy Maryada; Dee Wu; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. - Seyedehnafiseh Mirniaharikandehei; Alan B. Hollingsworth; Meredith A. Jones; Hong Liu 003; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Virtual Adversarial Training for Semi-supervised Breast Mass Classification. - Xuxin Chen; Ximin Wang; Ke Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2022)

Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms. - Xuxin Chen; Ke Zhang; Neman Abdoli; Patrik W. Gilley; Ximin Wang; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2022)

Recent advances and clinical applications of deep learning in medical image analysis. - Xuxin Chen; Ximin Wang; Ke Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Medical Image Anal., 2022)

An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images. - Alireza Abdihamzehkolaei; Seyedehnafiseh Mirniaharikandehei; Angel Choquehuanca; Marco Aedo Lopez; Wilmer Pacheco; Laura Estacio; Victor Cahui; Luis Huallpa; Kevin Quiñonez; Valeria Calderón; Ana Maria Gutiérrez; Ana Vargas; et al. (Image Perception, Observer Performance, and Technology Assessment, 2023)

Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients. - Ke Zhang; Neman Abdoli; Patrik W. Gilley; Youkabed Sadri; Xuxin Chen; Theresa C. Thai; Lauren Dockery; Kathleen N. Moore; Robert S. Mannel; Yuchen Qiu (CoRR, 2023)

Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients. - Ke Zhang; Neman Abdoli; Patrik W. Gilley; Youkabed Sadri; Xuxin Chen; Theresa C. Thai; Lauren Dockery; Kathleen N. Moore; Robert S. Mannel; Yuchen Qiu (Comput. Biol. Medicine, 2024)

Spatiotemporal Analysis and Prediction of Carbon Emissions from Energy Consumption in China through Nighttime Light Remote Sensing. - Zhaoxu Zhang; Shihong Fu; Jiayi Li; Yuchen Qiu; Zhenwei Shi; Yuanheng Sun (Remote. Sens., 2024)

A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province. - Zhaoxu Zhang; Xutong Li; Yuchen Qiu; Zhenwei Shi; Zhongling Gao; Yanjun Jia (Remote. Sens., 2024)

Development and Assessment of Multiple Illumination Color Fourier Ptychographic Microscopy for High Throughput Sample Digitization. - Patrik W. Gilley; Ke Zhang; Neman Abdoli; Youkabed Sadri; Laura Adhikari; Kar-Ming Fung; Yuchen Qiu (Sensors, 2024)