Gopichandh Danala
Orcid: 0000-0001-6857-9408
According to our database1,
Gopichandh Danala
authored at least 23 papers
between 2017 and 2022.
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Bibliography
2022
Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Developing interactive computer-aided detection tools to support translational clinical research.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Identifying an optimal machine learning generated image marker to predict survival of gastric cancer patients.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Improving the performance of computer-aided classification of breast lesions using a new feature fusion method.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification.
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.
Comput. Methods Programs Biomed., 2021
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.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
An interactive computer-aided detection software tool for quantitative estimation of intracerebral hemorrhage.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
2020
Medical Image Anal., 2020
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
Int. J. Medical Informatics, 2020
A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2019
Developing global image feature analysis models to predict cancer risk and prognosis.
Vis. Comput. Ind. Biomed. Art, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke.
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.
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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Computer-aided classification of breast masses using contrast-enhanced digital mammograms.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Association between mammogram density and background parenchymal enhancement of breast MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
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.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017