Gopichandh Danala

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 26

Top Topics

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Publications

Gopichandh Danala, Sai Kiran Reddy Maryada, Huong Pham, Warid Islam, Meredith A. Jones, Bin Zheng
Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng
Developing interactive computer-aided detection tools to support translational clinical research. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Warid Islam, Gopichandh Danala, Huong Pham, Bin Zheng
Improving the performance of computer-aided classification of breast lesions using a new feature fusion method. Medical Imaging: Computer-Aided Diagnosis (2022)
Sai Kiran Reddy Maryada, William Booker, Gopichandh Danala, Catherine An Ha, Sanjana Mudduluru, Dean F. Hougen, Bin Zheng
Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images. Medical Imaging: Computer-Aided Diagnosis (2022)
Huong Pham, Meredith A. Jones, Tiancheng Gai, Warid Islam, Gopichandh Danala, Javier A. Jo, Bin Zheng
Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients. Medical Imaging: Computer-Aided Diagnosis (2022)
Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Medical Imaging: Computer-Aided Diagnosis (2021)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Medical Imaging: Computer-Aided Diagnosis (2021)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
A novel feature reduction method to improve performance of machine learning model. Medical Imaging: Computer-Aided Diagnosis (2021)
Gopichandh Danala, Masoom Desai, Sama Astani, Bahram Rabbani, Jorge G. Ortiz-Garcia, Bin Zheng
An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. IEEE Trans. Biomed. Eng. 68 (9) (2021)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. Comput. Methods Programs Biomed. 200 (2021)
Gopichandh Danala, Sai Kiran Reddy Maryada, Morteza Heidari, Bappaditya Ray, Masoom Desai, Bin Zheng
A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for breast lesion classification. CoRR (2020)
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
IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. Medical Image Anal. 59 (2020)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. CoRR (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int. J. Medical Informatics 144 (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. CoRR (2020)
Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art 2 (2019)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
Association of computer-aided detection results and breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2019)
Gopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng
Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng
Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Medical Imaging: Computer-Aided Diagnosis (2018)
Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Medical Imaging: Computer-Aided Diagnosis (2018)
Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng
Association between mammogram density and background parenchymal enhancement of breast MRI. Medical Imaging: Computer-Aided Diagnosis (2018)
Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Medical Imaging: Computer-Aided Diagnosis (2018)
Faranak Aghaei, Gopichandh Danala, Alan B. Hollingsworth, Rebecca G. Stough, Melanie Pearce, Hong Liu, Bin Zheng
Applying a new mammographic imaging marker to predict breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2018)
Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2017)