Bin Zheng 0001 - researchr alias

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Viewing Publication 1 - 38 from 38

2023

Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray imagesLin Guo, Kunlei Hong, Qian Xiao, Lingjun Qian, Stefan Jaeger 0001, Bin Zheng 0001, Shenwen Quan, Li Xia, Guanxun Cheng, Y. M. Fleming Lure. miipop 2023: [doi]

Improving medical image segmentation and classification using a novel joint deep learning modelSanjana Mudduluru, Sai Kiran Reddy Maryada, William Booker, Dean F. Hougen, Bin Zheng 0001. micad 2023: [doi]

Deep learning-based rectum segmentation on low-field prostate MRI to assist image-guided biopsyHuong Pham, Dang Bich Thuy Le, Meredith Sadinski, Ram Narayanan, Aleksandar Nacev, Bin Zheng 0001. miigp 2023: [doi]

2022

Recent advances and clinical applications of deep learning in medical image analysisXuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen Moore, Robert S. Mannel, Hong Liu 0003, Bin Zheng 0001, Yuchen Qiu. mia, 79:102444, 2022. [doi]

Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment studyGopichandh Danala, Sai Kiran Reddy Maryada, Huong Pham, Warid Islam, Meredith A. Jones, Bin Zheng 0001. miipop 2022: [doi]

Developing interactive computer-aided detection tools to support translational clinical researchGopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng 0001. miipop 2022: [doi]

Improving the performance of computer-aided classification of breast lesions using a new feature fusion methodWarid Islam, Gopichandh Danala, Huong Pham, Bin Zheng 0001. micad 2022: [doi]

Fusion of handcrafted and deep transfer learning features to improve performance of breast lesion classificationMeredith A. Jones, Huong Pham, Tiancheng Gai, Bin Zheng 0001. micad 2022: [doi]

Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus imagesSai Kiran Reddy Maryada, William Booker, Gopichandh Danala, Catherine An Ha, Sanjana Mudduluru, Dean F. Hougen, Bin Zheng 0001. micad 2022: [doi]

Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumorsSeyedehnafiseh Mirniaharikandehei, Alan B. Hollingsworth, Meredith A. Jones, Hong Liu 0003, Yuchen Qiu, Bin Zheng 0001. miipop 2022: [doi]

Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patientsHuong Pham, Meredith A. Jones, Tiancheng Gai, Warid Islam, Gopichandh Danala, Javier A. Jo, Bin Zheng 0001. micad 2022: [doi]

2MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion ScansTianyu Shi, Huiyan Jiang, Bin Zheng 0001. tbe, 69(1):108-118, 2022. [doi]

2021

Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhageGopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng 0001. micad 2021: [doi]

An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhageGopichandh Danala, Masoom Desai, Sama Astani, Bahram Rabbani, Jorge G. Ortiz-Garcia, Bin Zheng 0001. mibam 2021: [doi]

Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion ClassificationMorteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu 0003, Bin Zheng 0001. tbe, 68(9):2764-2775, 2021. [doi]

Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithmMorteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng 0001. micad 2021: [doi]

A novel feature reduction method to improve performance of machine learning modelSeyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng 0001. micad 2021: [doi]

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT imagesSeyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng 0001. cmpb, 200:105937, 2021. [doi]

2020

2019

Developing global image feature analysis models to predict cancer risk and prognosisBin Zheng 0001, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala. vciba, 2:1-14, 2019. [doi]

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancerXuxin Chen, Abolfazl Zargari, Alan B. Hollingsworth, Hong Liu 0003, Bin Zheng 0001, Yuchen Qiu. cmpb, 179, 2019. [doi]

Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic strokeGopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng 0001. mibam 2019: [doi]

Assessment of a quantitative mammographic imaging marker for breast cancer risk predictionMorteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng 0001. miipop 2019: [doi]

Association of computer-aided detection results and breast cancer riskSeyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng 0001. micad 2019: [doi]

A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammogramsKaiming Yin, Shiju Yan, Chengli Song, Bin Zheng 0001. cars, 14(2):237-248, 2019. [doi]

Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profileAli Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng 0001. mibam 2019: 1095304 [doi]

2018

SD-CNN: A shallow-deep CNN for improved breast cancer diagnosisFei Gao, Teresa Wu, Jing Li, Bin Zheng 0001, Lingxiang Ruan, Desheng Shang, Bhavika Patel. cmig, 70:53-62, 2018. [doi]

2017

Current source enhancements in Electrical Impedance Spectroscopy (EIS) to cancel unwanted capacitive effectsAli Zarafshani, Thomas Bach, Chris R. Chatwin, Liangzhong Xiang, Bin Zheng 0001. mibam 2017: [doi]

2015

An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial studyYuchen Qiu, Xianglan Lu, Maxine Tan, Shibo Li, Hong Liu, Bin Zheng 0001. midp 2015: [doi]

2002

2001

Correction of digitized mammograms to enhance soft display and tissue composition measurementXiao-Hui Wang, Bin Zheng 0001, Yuan-Hsiang Chang, Walter F. Good. miigp 2001: [doi]

Computerized analysis of lesions in 3D MR breast imagesHe Wang, Bin Zheng 0001, Walter F. Good, Xiao-Hui Wang. miip 2001: [doi]

1999

Multi-image CAD employing features derived from ipsilateral mammographic viewsWalter F. Good, Bin Zheng 0001, Yuan-Hsiang Chang, Xiao-Hui Wang, Glenn S. Maitz, David Gur. miip 1999: [doi]

1998

Assessment of mass detection using tissue background information as input to a computer-assisted diagnosis schemeBin Zheng 0001, Yuan-Hsiang Chang, Walter F. Good, David Gur. miip 1998: [doi]

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2023

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2020

2019

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2015

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1999

1998

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