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Gopichandh Danala
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2020 – today
- 2022
- [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - 2021
- [j5]Seyedehnafiseh Mirniaharikandehei
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: 105937 (2021) - [j4]Morteza Heidari
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. IEEE Trans. Biomed. Eng. 68(9): 2764-2775 (2021) - [c13]Gopichandh Danala
An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c12]Gopichandh Danala
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Medical Imaging: Computer-Aided Diagnosis 2021 - [c11]Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Medical Imaging: Computer-Aided Diagnosis 2021 - [c10]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
A novel feature reduction method to improve performance of machine learning model. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [j3]Morteza Heidari
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: 104284 (2020) - [j2]Prasanna Porwal
IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. Medical Image Anal. 59 (2020) - [c9]Gopichandh Danala
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: 113171V - [i3]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 abs/2006.12229 (2020) - [i2]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 abs/2009.00675 (2020) - [i1]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 abs/2009.09937 (2020)
2010 – 2019
- 2019
- [j1]Bin Zheng
Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art 2: 1-14 (2019) - [c8]Gopichandh Danala
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: 109530M - [c7]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari
Association of computer-aided detection results and breast cancer risk. Medical Imaging: Computer-Aided Diagnosis 2019: 109500I - 2018
- [c6]Morteza Heidari
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Medical Imaging: Computer-Aided Diagnosis 2018: 105750P - [c5]Faranak Aghaei, Gopichandh Danala
Association between mammogram density and background parenchymal enhancement of breast MRI. Medical Imaging: Computer-Aided Diagnosis 2018: 105752O - [c4]Gopichandh Danala
Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Medical Imaging: Computer-Aided Diagnosis 2018: 105752K - [c3]Abolfazl Zargari Khuzani, Gopichandh Danala
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Medical Imaging: Computer-Aided Diagnosis 2018: 105752L - [c2]Faranak Aghaei, Gopichandh Danala
Applying a new mammographic imaging marker to predict breast cancer risk. Medical Imaging: Computer-Aided Diagnosis 2018: 105753N - 2017
- [c1]Gopichandh Danala
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. Medical Imaging: Computer-Aided Diagnosis 2017: 1013449
Coauthor Index
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