ResNet-50 vs VGG-19 vs Training from Scratch: A comparative analysis of the segmentation and classification of Pneumonia from chest x-ray images Agughasi Victor Ikechukwu, Murali S, Deepu R Global Transitions Proceedings, 2021 | 122 | 2021 |
ResNet-50 vs VGG-19 vs training from scratch: A comparative analysis of the segmentation and classification of Pneumonia from chest X-ray images A Victor Ikechukwu, S Murali, R Deepu, RC Shivamurthy Global Transitions Proceedings 2 (2), 375-381, 2021 | 22 | 2021 |
CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis AV Ikechukwu, S Murali Machine Learning: Science and Technology 4 (2), 025021, 2023 | 11 | 2023 |
i-Net: a deep CNN model for white blood cancer segmentation and classification Agughasi Victor Ikechukwu, Murali S International Journal of Advanced Technology and Engineering Exploration …, 2022 | 11* | 2022 |
Semi-supervised labelling of chest x-ray images using unsupervised clustering for ground-truth generation Agughasi Victor Ikechukwu, Murali S Applied Engineering and Technology 2 (3), 188-202, 2023 | 4 | 2023 |
EXPLAINABLE DEEP LEARNING MODEL FOR COVID-19 DIAGNOSIS Agughasi Victor Ikechukwu, Sreyas P, Ahammed Sena, Preetham HM, Raksha KM International Research Journal of Modernization in Engineering Technology …, 2022 | 4* | 2022 |
COPDNet: An Explainable ResNet50 Model for the Diagnosis of COPD from CXR Images AV Ikechukwu, S Murali, B Honnaraju 2023 IEEE 4th Annual Flagship India Council International Subsections …, 2023 | 3 | 2023 |
Resnet-50 Vs VGG-19 Vs Training from Scratch: A Comparative Analysis of The Segmentation and Classification of Pneumonia from Chest X-Ray Images. Global Transitions Proceedings … AV IKECHUKWU, S Murali, R Deepu, RC Shivamurthy | 3 | 2021 |
Semi-supervised labelling of chest x-ray images using unsupervised clustering for ground-truth generation AV Ikechukwu, M Srinivasiah | 1 | |
Global Transitions Proceedings AV Ikechukwu, S Murali, R Deepu, RC Shivamurthy | 1 | |
Energy-efficient deep Q-network: reinforcement learning for efficient routing protocol in wireless internet of things AV Ikechukwu, S Bhimshetty Indonesian Journal of Electrical Engineering and Computer Science 33 (2 …, 2024 | | 2024 |
Machine Learning for Health (ML4H) 2023 S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ... Machine Learning for Health (ML4H), 1-12, 2023 | | 2023 |
xAI: An Explainable AI Model for the Diagnosis of COPD from CXR Images Agughasi Victor Ikechukwu, Murali S 2023 IEEE 2nd International Conference on Data, Decision and Systems (ICDDS …, 2023 | | 2023 |
A fine-tuned Deep Learning model for Medical Image Segmentation Agughasi Victor Ikechukwu, Murali S, Prithvi Raj G. D International Journal of Advanced Research in Computer and Communication …, 2021 | | 2021 |
Early Prognosis of Heart Failure from Clinical Symptoms using K-Means and Naïve Bayes Algorithms Agughasi Victor Ikechukwu, Yashashwini DK Snehil Das M International Journal of Advanced Research in Computer and Communication …, 2020 | | 2020 |
Diagnosis of Chronic Kidney Disease using Naïve Bayes algorithm Supported by Stage Prediction using eGFR Agughasi Victor Ikechukwu, Nivedha K, Prakruthi NM, Fathima Farheen, Harini ... | | 2020 |
AMAL RAJ A Kotal, BS Manoj, CS Kumar, D Basu, AA Kumar, B Shakila, CLP Gupta, ... | | |
Leveraging Transfer Learning for Efficient Diagnosis of Copd Using Cxr Images and Explainable Ai Techniques VI Agughasi Available at SSRN 4637433, 0 | | |