Gopichandh Danala

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.

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.

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.

Association between mammogram density and background parenchymal enhancement of breast MRI

Wei Qian, Ali Zarafshani, Hong Liu, 2018, Medical Imaging.

Applying a new mammographic imaging marker to predict breast cancer risk

Bin Zheng, Gopichandh Danala, Hong Liu, 2018, Medical Imaging.

Developing a Quantitative Ultrasound Image Feature Analysis Scheme to Assess Tumor Treatment Efficacy Using a Mouse Model

Morteza Heidari, Bin Zheng, Seyedehnafiseh Mirniaharikandehei, 2019, Scientific Reports.

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.

Computer-aided classification of breast masses using contrast-enhanced digital mammograms

Teresa Wu, Morteza Heidari, Bin Zheng, 2018, 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.

Association of computer-aided detection results and breast cancer risk

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

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 computer-aided image analysis and visualization tool to predict region-specific brain tissue “at risk” for developing acute ischemic stroke

Morteza Heidari, Bin Zheng, Gopichandh Danala, 2019, Medical Imaging.

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images

Morteza Heidari, University of Oklahoma, USA, 2020, Comput. Methods Programs Biomed..

Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage

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

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.

A novel feature reduction method to improve performance of machine learning model

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

An optimal machine learning model for breast lesion classification based on random projection algorithm for feature optimization

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

An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage

Gopichandh Danala, Bin Zheng, Masoom Desai, 2021 .

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

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

Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms

Teresa Wu, Morteza Heidari, Bin Zheng, 2018, Annals of Biomedical Engineering.