Yuchen Qiu

发表

Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study

Hong Liu, Bin Zheng, Gopichandh Danala, 2017, Medical Imaging.

Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks

Hong Liu, Bin Zheng, Theresa C. Thai, 2018, Annals of Biomedical Engineering.

A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images

Hong Liu, Bin Zheng, Yunzhi Wang, 2017, Comput. Methods Programs Biomed..

Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images

Hong Liu, Bin Zheng, Yunzhi Wang, 2017, Medical Imaging.

A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

Shiju Yan, Hong Liu, Bin Zheng, 2017, Journal of X-ray science and technology.

Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme

Morteza Heidari, Abolfazl Zargari Khuzani, Bin Zheng, 2018, Medical Imaging.

Computer-aided classification of mammographic masses using visually sensitive image features.

Bin Zheng, Yunzhi Wang, Yuchen Qiu, 2017, Journal of X-ray science and technology.

Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm

Morteza Heidari, Abolfazl Zargari Khuzani, Bin Zheng, 2018, Physics in medicine and biology.

A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study

Bin Zheng, Yuchen Qiu, Hong Liu, 2015, Medical Imaging.

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction

Wei Qian, Morteza Heidari, Abolfazl Zargari Khuzani, 2019, Medical Imaging.

Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome

Hong Liu, Bin Zheng, Yunzhi Wang, 2016, BMC Medical Imaging.

Assessing the performance of quantitative image features on early stage prediction of treatment effectiveness for ovary cancer patients: a preliminary investigation

Bin Zheng, Theresa C. Thai, Kathleen N. Moore, 2018, BiOS.

Developing global image feature analysis models to predict cancer risk and prognosis

Bin Zheng, Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, 2019, Visual Computing for Industry, Biomedicine, and Art.

Improving Performance of Breast Cancer Risk Prediction by Incorporating Optical Density Image Feature Analysis: An Assessment.

Shiju Yan, Bin Zheng, Yunzhi Wang, 2017, Academic radiology.

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients

Wei Qian, Hong Liu, Bin Zheng, 2016, IEEE Transactions on Biomedical Engineering.

Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study

Hong Liu, Bin Zheng, Theresa C. Thai, 2015, Medical Imaging.

A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment

Bin Zheng, Yuchen Qiu, Rohith Reddy Gundreddy, 2015, Medical Imaging.

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer

Bin Zheng, Yuchen Qiu, Abolfazl Zargari, 2019, Comput. Methods Programs Biomed..

A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration

Zheng Li, Bin Zheng, Theresa C. Thai, 2016, IEEE Transactions on Medical Imaging.

An automatic scanning method for high throughput microscopic system to facilitate medical genetic diagnosis: an initial study

Hong Liu, Zheng Li, Bin Zheng, 2012, Photonics West - Biomedical Optics.

Residence and Workplace Recovery: User Privacy Risk in Mobility Data

Yuanyuan Qiao, Jie Yang, Yuchen Qiu, 2020, ICDAR@ICMR.

An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology

Samuel Cheng, Shiju Yan, Hong Liu, 2016, SPIE Medical Imaging.

Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients

Hong Liu, Bin Zheng, Yunzhi Wang, 2016, SPIE Medical Imaging.

Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions

Morteza Heidari, Abolfazl Zargari Khuzani, Bin Zheng, 2018, Medical Imaging.

A new CAD approach for improving efficacy of cancer screening

Lihua Li, Wei Qian, Yan Kang, 2015, Medical Imaging.

Exploring a new bilateral focal density asymmetry based image marker to predict breast cancer risk

Bin Zheng, Seyedehnafiseh Mirniaharikandehei, Yuchen Qiu, 2017, Medical Imaging.

Assessment of short-term breast cancer risk using a frequency domain correlation based imaging marker

Morteza Heidari, Bin Zheng, Seyedehnafiseh Mirniaharikandehei, 2019, Medical Imaging.

A hybrid deep learning approach to predict malignancy of breast lesions using mammograms

Wei Qian, Jing Gong, Morteza Heidari, 2018, Medical Imaging.

Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction

Shiju Yan, Bin Zheng, Yunzhi Wang, 2017, International Journal of Computer Assisted Radiology and Surgery.

Impact of the optical depth of field on cytogenetic image quality

Bin Zheng, Xiaodong Chen, Yuhua Li, 2012, Journal of biomedical optics.

Developing a visual sensitive image features based CAD scheme to assist classification of mammographic masses

Hong Liu, Bin Zheng, Yunzhi Wang, 2017, Medical Imaging.

Association of computer-aided detection results and breast cancer risk

Wei Qian, Morteza Heidari, Bin Zheng, 2019, Medical Imaging.

Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker

Morteza Heidari, Hong Liu, Bin Zheng, 2018, Physics in medicine and biology.

Feature Selection for the Automated Detection of Metaphase Chromosomes: Performance Comparison Using a Receiver Operating Characteristic Method

Yuhua Li, Hong Liu, Bin Zheng, 2014, Analytical cellular pathology.

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Morteza Heidari, Abolfazl Zargari Khuzani, University of Oklahoma, 2020, International Journal of Medical Informatics.

Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study

Samuel Cheng, Shiju Yan, Hong Liu, 2016, SPIE Medical Imaging.

Utilizing deep learning technology to develop a novel CT image marker for categorizing cervical cancer patients at early stage

Hong Liu, Bin Zheng, Theresa C. Thai, 2019, BiOS.

Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions.

Hong Liu, Bin Zheng, Yuchen Qiu, 2015, Medical physics.

Improving efficacy of metastatic tumor segmentation to facilitate early prediction of ovarian cancer patients' response to chemotherapy

Bin Zheng, Gopichandh Danala, Theresa C. Thai, 2017, BiOS.

Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients

Hong Liu, Wei Liu, Yuchen Qiu, 2020, Comput. Methods Programs Biomed..

Increasing the Efficacy of Detecting Residual Cancer Cells Using a Whole-Slide Image Scanning Method and a Computer-Aided Detection Scheme

Bin Zheng, Yuchen Qiu, Hong Liu, 2016 .

An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study

Hong Liu, Shibo Li, Bin Zheng, 2015, Medical Imaging.

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification

Hong Liu, Bin Zheng, Theresa C. Thai, 2018, Medical Imaging.

Early Rumor Detection Based on Deep Recurrent Q-Learning

Wu Yang, Yuchen Qiu, Wei Wang, 2021, Secur. Commun. Networks.

Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm

Morteza Heidari, Bin Zheng, Gopichandh Danala, 2021, Medical Imaging.

Development of a transferring GAN based CAD scheme for breast mass classification: an initial study

Bin Zheng, Theresa C. Thai, Yuchen Qiu, 2021, BiOS.

Recent advances and clinical applications of deep learning in medical image analysis pdf

Bin Zheng, Theresa C. Thai, Yuchen Qiu, 2021, ArXiv.

Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy.

Bin Zheng, Gopichandh Danala, Yuchen Qiu, 2017, Academic radiology.

New method for determining the depth of field of microscope systems.

Liqiang Ren, Yuchen Qiu, Hong Liu, 2011, Applied optics.

Evaluations of Auto-Focusing Methods under a Microscopic Imaging Modality for Metaphase Chromosome Image Analysis

Wei R. Chen, Bin Zheng, Yuchen Qiu, 2013, Analytical cellular pathology.

Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis

Bin Zheng, Yuchen Qiu, Maxine Tan, 2016, Acta radiologica.