Gopichandh Danala

According to our database, Gopichandh Danala authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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 Ebert

Proceedings of the IEEE Workshop on Energy Data Visualization, 2024

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

Proceedings of the Medical Imaging 2022: Image Perception, 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

Proceedings of the Medical Imaging 2022: Image Perception, 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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Improving the performance of computer-aided classification of breast lesions using a new feature fusion method.

Warid Islam, Gopichandh Danala, Huong Pham, Bin Zheng

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

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, Bin Zheng

IEEE Trans. Biomed. Eng., 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

Comput. Methods Programs Biomed., 2021

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

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng

Proceedings of the Medical Imaging 2021: 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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

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, Fengyan Wang, Baocai Yin, Yunzhi Wang, Gopichandh Danala, Linsheng He, Yoon Ho Choi, Fabrice Mériaudeau

Medical Image Anal., 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

Int. J. Medical Informatics, 2020

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

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019

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

Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala

Vis. Comput. Ind. Biomed. Art, 2019

Association of computer-aided detection results and breast cancer risk.

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

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

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

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

Proceedings of the Medical Imaging 2018: 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

Proceedings of the Medical Imaging 2018: 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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Association between mammogram density and background parenchymal enhancement of breast MRI.

Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

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, Bin Zheng

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

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

Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017