Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. - Gopichandh Danala; Yunzhi Wang 002; Theresa C. Thai; Camille Gunderson; Katherine Moxley; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Computer-Aided Diagnosis, 2017)

Applying a new mammographic imaging marker to predict breast cancer risk. - Faranak Aghaei; Gopichandh Danala; Alan B. Hollingsworth; Rebecca G. Stough; Melanie Pearce; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Association between mammogram density and background parenchymal enhancement of breast MRI. - Faranak Aghaei; Gopichandh Danala; Yunzhi Wang 002; Ali Zarafshani; Wei Qian 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Computer-aided classification of breast masses using contrast-enhanced digital mammograms. - Gopichandh Danala; Faranak Aghaei; Morteza Heidari; Teresa Wu; Bhavika Patel; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. - Morteza Heidari; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. - Abolfazl Zargari Khuzani; Gopichandh Danala; Morteza Heidari; Yue Du; Najmeh Mashhadi; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke. - Gopichandh Danala; Morteza Heidari; Faranak Aghaei; Bappaditya Ray; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Association of computer-aided detection results and breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2019)

Developing global image feature analysis models to predict cancer risk and prognosis. - Bin Zheng 001; Yuchen Qiu; Faranak Aghaei; Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala (Vis. Comput. Ind. Biomed. Art, 2019)

A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke. - Gopichandh Danala; Sai Kiran Reddy Maryada; Morteza Heidari; Bappaditya Ray; Masoom Desai; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Int. J. Medical Informatics, 2020)

IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. - Prasanna Porwal; Samiksha Pachade; Manesh Kokare; Girish Deshmukh; Jaemin Son; Woong Bae; Lihong Liu; Jianzong Wang; Xinhui Liu; Liangxin Gao; Tianbo Wu; Jing Xiao 006; et al. (Medical Image Anal., 2020)

An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage. - Gopichandh Danala; Masoom Desai; Sama Astani; Bahram Rabbani; Jorge G. Ortiz-Garcia; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. - Gopichandh Danala; Masoom Desai; Maryum Shoukat; Ahmer Asif; Morteza Heidari; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

A novel feature reduction method to improve performance of machine learning model. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Sivaramakrishnan Lakshmivarahan; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Sivaramakrishnan Lakshmivarahan; Bin Zheng 001 (Comput. Methods Programs Biomed., 2021)

Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. - Morteza Heidari; Sivaramakrishnan Lakshmivarahan; Seyedehnafiseh Mirniaharikandehei; Gopichandh Danala; Sai Kiran Reddy Maryada; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2021)

Improving the performance of computer-aided classification of breast lesions using a new feature fusion method. - Warid Islam; Gopichandh Danala; Huong Pham; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images. - Sai Kiran Reddy Maryada; William Booker; Gopichandh Danala; Catherine An Ha; Sanjana Mudduluru; Dean F. Hougen; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients. - Huong Pham; Meredith A. Jones; Tiancheng Gai; Warid Islam; Gopichandh Danala; Javier A. Jo; Bin Zheng 001 (Computer-Aided Diagnosis, 2022)

Developing interactive computer-aided detection tools to support translational clinical research. - Gopichandh Danala; Seyedehnafiseh Mirniaharikandehei; Meredith A. Jones; Tiancheng Gai; Sai Kiran Reddy Maryada; Dee Wu; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study. - Gopichandh Danala; Sai Kiran Reddy Maryada; Huong Pham; Warid Islam; Meredith A. Jones; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

TRUExT: Trustworthiness Regressor Unified Explainable Tool. - Catherine Donner; Gopichandh Danala; Wolfgang Jentner; David S. Ebert (IEEE Big Data, 2024)

Challenges in Data Integration, Monitoring, and Exploration of Methane Emissions: The Role of Data Analysis and Visualization. - Parisa Masnadi Khiabani; Gopichandh Danala; Wolfgang Jentner; David S. Ebert (EnergyVis@VIS, 2024)

Modeling time series of vegetation indices in tallgrass prairie using machine and deep learning algorithms. - Pradeep Wagle; Gopichandh Danala; Catherine Donner; Xiangming Xiao; Corey Moffet; Stacey A. Gunter; Wolfgang Jentner; David S. Ebert (Ecol. Informatics, 2024)