Gopichandh Danala

29 papers B 1Journal 9Unranked 19

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Challenges in Data Integration, Monitoring, and Exploration of Methane Emissions: The Role of Data Analysis and Visualization. EnergyVis@VIS Parisa Masnadi Khiabani, Gopichandh Danala, Wolfgang Jentner, David S. Ebert
2024	J	`jnl`	Modeling time series of vegetation indices in tallgrass prairie using machine and deep learning algorithms. Ecol. Informatics Pradeep Wagle, Gopichandh Danala, Catherine Donner, Xiangming Xiao, Corey Moffet, Stacey A. Gunter, Wolfgang Jentner, David S. Ebert
2024	B	`conf`	TRUExT: Trustworthiness Regressor Unified Explainable Tool. IEEE Big Data Catherine Donner, Gopichandh Danala, Wolfgang Jentner, David S. Ebert
2022	—	`conf`	Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images. Computer-Aided Diagnosis Sai Kiran Reddy Maryada, William Booker, Gopichandh Danala, Catherine An Ha, Sanjana Mudduluru, Dean F. Hougen, Bin Zheng
2022	—	`conf`	Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study. Image Perception, Observer Performance, and Technology Assessment Gopichandh Danala, Sai Kiran Reddy Maryada, Huong Pham, Warid Islam, Meredith A. Jones, Bin Zheng
2022	—	`conf`	Developing interactive computer-aided detection tools to support translational clinical research. Image Perception, Observer Performance, and Technology Assessment Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng
2022	—	`conf`	Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients. Computer-Aided Diagnosis Huong Pham, Meredith A. Jones, Tiancheng Gai, Warid Islam, Gopichandh Danala, Javier A. Jo, Bin Zheng
2022	—	`conf`	Improving the performance of computer-aided classification of breast lesions using a new feature fusion method. Computer-Aided Diagnosis Warid Islam, Gopichandh Danala, Huong Pham, Bin Zheng
2021	—	`conf`	A novel feature reduction method to improve performance of machine learning model. Computer-Aided Diagnosis Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2021	—	`conf`	An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage. Biomedical Applications in Molecular, Structural, and Functional Imaging Gopichandh Danala, Masoom Desai, Sama Astani, Bahram Rabbani, Jorge G. Ortiz-Garcia, Bin Zheng
2021	J	`jnl`	Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. IEEE Trans. Biomed. Eng. Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
2021	J	`jnl`	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. Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2021	—	`conf`	Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Computer-Aided Diagnosis Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng
2021	—	`conf`	Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Computer-Aided Diagnosis Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020	—	`conf`	A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke. Biomedical Applications in Molecular, Structural, and Functional Imaging Gopichandh Danala, Sai Kiran Reddy Maryada, Morteza Heidari, Bappaditya Ray, Masoom Desai, Bin Zheng
2020	J	`jnl`	Applying a random projection algorithm to optimize machine learning model for breast lesion classification. CoRR Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
2020	J	`jnl`	Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. CoRR Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2020	J	`jnl`	IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. Medical Image Anal. 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
2020	J	`jnl`	Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. CoRR Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020	J	`jnl`	Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int. J. Medical Informatics Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2019	—	`conf`	Association of computer-aided detection results and breast cancer risk. Computer-Aided Diagnosis Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
2019	—	`conf`	Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke. Biomedical Applications in Molecular, Structural, and Functional Imaging Gopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng
2019	J	`jnl`	Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
2018	—	`conf`	Applying a new mammographic imaging marker to predict breast cancer risk. Computer-Aided Diagnosis Faranak Aghaei, Gopichandh Danala, Alan B. Hollingsworth, Rebecca G. Stough, Melanie Pearce, Hong Liu, Bin Zheng
2018	—	`conf`	Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Computer-Aided Diagnosis Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng
2018	—	`conf`	Association between mammogram density and background parenchymal enhancement of breast MRI. Computer-Aided Diagnosis Faranak Aghaei, Gopichandh Danala, Yunzhi Wang, Ali Zarafshani, Wei Qian, Hong Liu, Bin Zheng
2018	—	`conf`	Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Computer-Aided Diagnosis Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng
2018	—	`conf`	Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Computer-Aided Diagnosis Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2017	—	`conf`	Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. Computer-Aided Diagnosis Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu