Barath Narayanan Narayanan

发表

Automated quantification of DNA damage via deep transfer learning based analysis of comet assay images

Shekhar Bhansali, Mahsa Karbaschi, Srikanth Namuduri, 2019, Optical Engineering + Applications.

Analysis of various classification techniques for computer aided detection system of pulmonary nodules in CT

Russell C. Hardie, Barath Narayanan Narayanan, Temesguen M. Kebede, 2016, 2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS).

Performance analysis of machine learning and pattern recognition algorithms for Malware classification

Barath Narayanan Narayanan, Temesguen M. Kebede, Ouboti Djaneye-Boundjou, 2016, 2016 IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS).

Ensemble Malware Classification System Using Deep Neural Networks

Barath Narayanan Narayanan, Venkata Salini Priyamvada Davuluru, 2020 .

Review—Deep Learning Methods for Sensor Based Predictive Maintenance and Future Perspectives for Electrochemical Sensors

Shekhar Bhansali, Srikanth Namuduri, Barath Narayanan Narayanan, 2020 .

Performance Analysis of Feature Selection Techniques for Support Vector Machine and its Application for Lung Nodule Detection

Russell C. Hardie, Barath Narayanan Narayanan, Temesguen M. Kebede, 2018, NAECON 2018 - IEEE National Aerospace and Electronics Conference.

Transfer-to-Transfer Learning Approach for Computer Aided Detection of COVID-19 in Chest Radiographs

Russell C. Hardie, Barath Narayanan Narayanan, Venkata Salini Priyamvada Davuluru, 2020, AI.

A Computationally Efficient U-Net Architecture for Lung Segmentation in Chest Radiographs

Russell C. Hardie, Barath Narayanan Narayanan, R. Hardie, 2019, 2019 IEEE National Aerospace and Electronics Conference (NAECON).

Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy

Russell C. Hardie, Barath Narayanan Narayanan, Manawaduge Supun De Silva, 2020, Journal of medical imaging.

Two-stage deep learning architecture for pneumonia detection and its diagnosis in chest radiographs

Russell C. Hardie, Barath Narayanan Narayanan, Venkata Salini Priyamvada Davuluru, 2020, Medical Imaging.

Performance analysis of machine learning and deep learning architectures for malaria detection on cell images

Russell C. Hardie, Barath Narayanan Narayanan, Redha A. Ali, 2019, Optical Engineering + Applications.

Combination of Traditional and Deep Learning based Architectures to Overcome Class Imbalance and its Application to Malware Classification

Barath Narayanan Narayanan, Ouboti Djaneye-Boundjou, Temesguen Messay-Kebede, 2018, NAECON 2018 - IEEE National Aerospace and Electronics Conference.

Understanding Deep Neural Network Predictions for Medical Imaging Applications pdf

Russell C. Hardie, Barath Narayanan Narayanan, Redha Ali, 2019, ArXiv.

Super-resolution Imaging Technology

Barath Narayanan Narayanan, Milad Mahour, Kareem Soliman, 2016 .

Convolutional Neural Network for Classification of Histopathology Images for Breast Cancer Detection

Redha Ali, Barath Narayanan Narayanan, Vignesh Krishnaraja, 2019, 2019 IEEE National Aerospace and Electronics Conference (NAECON).

Support vector machine and convolutional neural network based approaches for defect detection in fused filament fabrication

Barath Narayanan Narayanan, Nilesh U. Powar, Kelly Beigh, 2019, Optical Engineering + Applications.

Performance analysis of a computer-aided detection system for lung nodules in CT at different slice thicknesses

Barath Narayanan Narayanan, Temesguen Messay Kebede, Russell Craig Hardie, 2018, Journal of medical imaging.

New classifier architecture and training methodologies for lung nodule detection in chest radiographs and computed tomography

Barath Narayanan Narayanan, B. Narayanan, 2017 .

Automated material identification and segmentation using deep learning for laser powder bed fusion

Dathan Erdahl, Barath Narayanan Narayanan, Solomon Duning, 2020, Optical Engineering + Applications.

Video captioning using weakly supervised convolutional neural networks

Barath Narayanan Narayanan, Dylan Flaute, 2020, Optical Engineering + Applications.

Blown Wing Aerodynamic Coefficient Predictions Using Traditional Machine Learning and Data Science Approaches

Sidaard Gunasekaran, Barath Narayanan Narayanan, Samuel A. Barnhart, 2021, AIAA Scitech 2021 Forum.