Yuchen Qiu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Comput. Methods Programs Biomed.

Publications

Zhaoxu Zhang, Shihong Fu, Jiayi Li, Yuchen Qiu, Zhenwei Shi, Yuanheng Sun
Spatiotemporal Analysis and Prediction of Carbon Emissions from Energy Consumption in China through Nighttime Light Remote Sensing. Remote. Sens. 16 (1) (2024)
Patrik W. Gilley, Ke Zhang, Neman Abdoli, Youkabed Sadri, Laura Adhikari, Kar-Ming Fung, Yuchen Qiu
Development and Assessment of Multiple Illumination Color Fourier Ptychographic Microscopy for High Throughput Sample Digitization. Sensors 24 (14) (2024)
Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu
Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients. Comput. Biol. Medicine 172 (2024)
Zhaoxu Zhang, Xutong Li, Yuchen Qiu, Zhenwei Shi, Zhongling Gao, Yanjun Jia
A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province. Remote. Sens. 16 (6) (2024)
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, Dery Gamero, Eveling Castro Gutierrez, Yuchen Qiu, Bin Zheng, Javier A. Jo
An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen Moore, Robert S. Mannel, Yuchen Qiu
Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients. CoRR (2023)
Neman Abdoli, Ke Zhang, Patrik W. Gilley, Xuxin Chen, Youkabed Sadri, Theresa C. Thai, Lauren E. Dockery, Kathleen Moore, Robert S. Mannel, Yuchen Qiu
Evaluating the Effectiveness of 2D and 3D Features for Predicting Tumor Response to Chemotherapy. CoRR (2023)
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Virtual Adversarial Training for Semi-supervised Breast Mass Classification. CoRR (2022)
Seyedehnafiseh Mirniaharikandehei, Alan B. Hollingsworth, Meredith A. Jones, Hong Liu, Yuchen Qiu, Bin Zheng
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng
Developing interactive computer-aided detection tools to support translational clinical research. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms. CoRR (2022)
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Recent advances and clinical applications of deep learning in medical image analysis. Medical Image Anal. 79 (2022)
Wei Wang, Yuchen Qiu, Shichang Xuan, Wu Yang
Early Rumor Detection Based on Deep Recurrent Q-Learning. Secur. Commun. Networks 2021 (2021)
Yuchen Qiu, Chao Xiao, LingHui Peng, Junhui Wang, Ziyang Kang, Shiming Li, Lei Wang
A Novel Ring-based Small-World NoC for Neuromorphic Processor. ASAP (2021)
Xuxin Chen, Ximin Wang, Ke Zhang, Roy Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Recent advances and clinical applications of deep learning in medical image analysis. CoRR (2021)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Medical Imaging: Computer-Aided Diagnosis (2021)
Yuchen Qiu, Lei Wang, Xiaofan Chen, Lianhua Qu
Enhancing the Performance of Liquid State Machine with Time-Division Sampling and Reservoir Reconstructing. HPCC/DSS/SmartCity/DependSys (2021)
Xuxin Chen, Wei Liu, Theresa C. Thai, Tara Castellano, Camille C. Gunderson, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. Comput. Methods Programs Biomed. 197 (2020)
Yuchen Qiu, Yuanyuan Qiao, Aimin Zhang, Jie Yang
Residence and Workplace Recovery: User Privacy Risk in Mobility Data. ICDAR@ICMR (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int. J. Medical Informatics 144 (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. CoRR (2020)
Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art 2 (2019)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
Association of computer-aided detection results and breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2019)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Xuxin Chen, Abolfazl Zargari, Alan B. Hollingsworth, Hong Liu, Bin Zheng, Yuchen Qiu
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput. Methods Programs Biomed. 179 (2019)
Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Medical Imaging: Computer-Aided Diagnosis (2018)
Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Medical Imaging: Computer-Aided Diagnosis (2018)
Yue Du, Roy Zhang, Abolfazl Zargari, Theresa C. Thai, Camille C. Gunderson, Katherine M. Moxley, Hong Liu, Bin Zheng, Yuchen Qiu
A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification. Medical Imaging: Digital Pathology (2018)
Shiju Yan, Yunzhi Wang, Faranak Aghaei, Yuchen Qiu, Bin Zheng
Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction. Int. J. Comput. Assist. Radiol. Surg. 12 (10) (2017)
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images. Medical Imaging: Computer-Aided Diagnosis (2017)
Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2017)
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images. Comput. Methods Programs Biomed. 144 (2017)
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients. Medical Imaging: Computer-Aided Diagnosis (2016)
Nastaran Emaminejad, Wei Qian, Yubao Guan, Maxine Tan, Yuchen Qiu, Hong Liu, Bin Zheng
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. IEEE Trans. Biomed. Eng. 63 (5) (2016)
Yuchen Qiu, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2016)
Maxine Tan, Zheng Li, Yuchen Qiu, Scott D. McMeekin, Theresa C. Thai, Kai Ding, Kathleen N. Moore, Hong Liu, Bin Zheng
A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. IEEE Trans. Medical Imaging 35 (1) (2016)
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. BMC Medical Imaging 16 (2016)
Yuchen Qiu, Yunzhi Wang, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology. Medical Imaging: Computer-Aided Diagnosis (2016)
Yuchen Qiu, Xianglan Lu, Maxine Tan, Shibo Li, Hong Liu, Bin Zheng
An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study. Medical Imaging: Digital Pathology (2015)
Sreeram Dhurjaty, Yuchen Qiu, Maxine Tan, Hong Liu, Bin Zheng
A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Yuchen Qiu, Maxine Tan, Scott D. McMeekin, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2015)
Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
A new CAD approach for improving efficacy of cancer screening. Medical Imaging: Computer-Aided Diagnosis (2015)
Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qiu, Bin Zheng
A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment. Medical Imaging: Computer-Aided Diagnosis (2015)