Yuchen Qiu - RankMe

46 papers Journal 24Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Automated Method for Regional-Scale Agricultural Soil Moisture Retrieval Using ISMN Measurements and Sentinel Data in Google Earth Engine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Zhaoxu Zhang, Lei Qian, Yuchen Qiu, Zhenwei Shi, Yuanheng Sun, Wei Xu
2025	J	`jnl`	From CNNs to SAM: A Survey of Deep Learning Techniques for Liver Tumor Segmentation in CT Images. IEEE Access Neman Abdoli, Youkabed Sadri, Patrik W. Gilley, Ke Zhang, Yong Chen, Yuchen Qiu
2025	J	`jnl`	Parameter efficient fine-tunning of foundation model to facilitate tumor response prediction for ovarian cancer patients. BMC Medical Imaging Ke Zhang, Patrik W. Gilley, Neman Abdoli, Theresa C. Thai, Yong Chen, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Qinggong Tang, Yuchen Qiu
2025	J	`jnl`	Utilizing Pseudo Color Image to Improve the Performance of Deep Transfer Learning-Based Computer-Aided Diagnosis Schemes in Breast Mass Classification. J. Imaging Inform. Medicine Meredith A. Jones, Ke Zhang, Rowzat Faiz, Warid Islam, Javier A. Jo, Bin Zheng, Yuchen Qiu
2024	J	`jnl`	A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province. Remote. Sens. Zhaoxu Zhang, Xutong Li, Yuchen Qiu, Zhenwei Shi, Zhongling Gao, Yanjun Jia
2024	J	`jnl`	Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients. Comput. Biol. Medicine Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu
2024	J	`jnl`	Development and Assessment of Multiple Illumination Color Fourier Ptychographic Microscopy for High Throughput Sample Digitization. Sensors Patrik W. Gilley, Ke Zhang, Neman Abdoli, Youkabed Sadri, Laura Adhikari, Kar-Ming Fung, Yuchen Qiu
2024	J	`jnl`	Spatiotemporal Analysis and Prediction of Carbon Emissions from Energy Consumption in China through Nighttime Light Remote Sensing. Remote. Sens. Zhaoxu Zhang, Shihong Fu, Jiayi Li, Yuchen Qiu, Zhenwei Shi, Yuanheng Sun
2023	—	`conf`	An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images. Image Perception, Observer Performance, and Technology Assessment 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
2023	J	`jnl`	Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients. CoRR Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu
2022	—	`conf`	Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. Image Perception, Observer Performance, and Technology Assessment Seyedehnafiseh Mirniaharikandehei, Alan B. Hollingsworth, Meredith A. Jones, Hong Liu, Yuchen Qiu, Bin Zheng
2022	—	`conf`	Developing interactive computer-aided detection tools to support translational clinical research. Image Perception, Observer Performance, and Technology Assessment Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng
2022	J	`jnl`	Recent advances and clinical applications of deep learning in medical image analysis. Medical Image Anal. Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2022	J	`jnl`	Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms. CoRR Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu
2022	J	`jnl`	Virtual Adversarial Training for Semi-supervised Breast Mass Classification. CoRR Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2021	—	`conf`	A Novel Ring-based Small-World NoC for Neuromorphic Processor. ASAP Yuchen Qiu, Chao Xiao, LingHui Peng, Junhui Wang, Ziyang Kang, Shiming Li, Lei Wang
2021	—	`conf`	Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Computer-Aided Diagnosis Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2021	J	`jnl`	Early Rumor Detection Based on Deep Recurrent Q-Learning. Secur. Commun. Networks Wei Wang, Yuchen Qiu, Shichang Xuan, Wu Yang
2021	—	`conf`	Enhancing the Performance of Liquid State Machine with Time-Division Sampling and Reservoir Reconstructing. HPCC/DSS/SmartCity/DependSys Yuchen Qiu, Lei Wang, Xiaofan Chen, Lianhua Qu
2021	J	`jnl`	Recent advances and clinical applications of deep learning in medical image analysis. CoRR Xuxin Chen, Ximin Wang, Ke Zhang, Roy Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2020	J	`jnl`	Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. Comput. Methods Programs Biomed. Xuxin Chen, Wei Liu, Theresa C. Thai, Tara Castellano, Camille C. Gunderson, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2020	J	`jnl`	Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. CoRR Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020	J	`jnl`	Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int. J. Medical Informatics Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020	—	`conf`	Residence and Workplace Recovery: User Privacy Risk in Mobility Data. ICDAR@ICMR Yuchen Qiu, Yuanyuan Qiao, Aimin Zhang, Jie Yang
2019	J	`jnl`	Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. Comput. Methods Programs Biomed. Xuxin Chen, Abolfazl Zargari, Alan B. Hollingsworth, Hong Liu, Bin Zheng, Yuchen Qiu
2019	—	`conf`	Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. Image Perception, Observer Performance, and Technology Assessment Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng
2019	—	`conf`	Association of computer-aided detection results and breast cancer risk. Computer-Aided Diagnosis Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
2019	J	`jnl`	Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
2018	—	`conf`	A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification. Digital Pathology Yue Du, Roy Zhang, Abolfazl Zargari, Theresa C. Thai, Camille C. Gunderson, Katherine M. Moxley, Hong Liu, Bin Zheng, Yuchen Qiu
2018	—	`conf`	Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Computer-Aided Diagnosis Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng
2018	—	`conf`	Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Computer-Aided Diagnosis Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2017	J	`jnl`	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. Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2017	—	`conf`	Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. Computer-Aided Diagnosis Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2017	—	`conf`	Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images. Computer-Aided Diagnosis Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2017	J	`jnl`	Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction. Int. J. Comput. Assist. Radiol. Surg. Shiju Yan, Yunzhi Wang, Faranak Aghaei, Yuchen Qiu, Bin Zheng
2016	J	`jnl`	A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. IEEE Trans. Medical Imaging Maxine Tan, Zheng Li, Yuchen Qiu, Scott D. McMeekin, Theresa C. Thai, Kai Ding, Kathleen N. Moore, Hong Liu, Bin Zheng
2016	—	`conf`	An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology. Computer-Aided Diagnosis Yuchen Qiu, Yunzhi Wang, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
2016	J	`jnl`	Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome. BMC Medical Imaging Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2016	—	`conf`	Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients. Computer-Aided Diagnosis Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
2016	—	`conf`	Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study. Computer-Aided Diagnosis Yuchen Qiu, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
2016	J	`jnl`	Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. IEEE Trans. Biomed. Eng. Nastaran Emaminejad, Wei Qian, Yubao Guan, Maxine Tan, Yuchen Qiu, Hong Liu, Bin Zheng
2015	—	`conf`	A new CAD approach for improving efficacy of cancer screening. Computer-Aided Diagnosis Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
2015	—	`conf`	A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment. Computer-Aided Diagnosis Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qiu, Bin Zheng
2015	—	`conf`	A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study. Biomedical Applications in Molecular, Structural, and Functional Imaging Sreeram Dhurjaty, Yuchen Qiu, Maxine Tan, Hong Liu, Bin Zheng
2015	—	`conf`	An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study. Digital Pathology Yuchen Qiu, Xianglan Lu, Maxine Tan, Shibo Li, Hong Liu, Bin Zheng
2015	—	`conf`	Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study. Computer-Aided Diagnosis Yuchen Qiu, Maxine Tan, Scott D. McMeekin, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng