- Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models
R Jalloul, CH Krishnappa, VI Agughasi, R Alkhatib
Technologies 13 (1), 7 2024
- Leveraging Transfer Learning for Efficient Diagnosis of COPD Using CXR Images and Explainable AI Techniques
Agughasi Victor Ikechukwu
Inteligencia Artificial 27 (74), 133-151 2024
- The Superiority of Fine-tuning over Full-training for the Efficient Diagnosis of COPD from CXR Images
Agughasi Victor Ikechukwu
Inteligencia Artificial 27 (74), 62-79 2024
- Advances in Thermal Imaging: A Convolutional Neural Network Approach for Improved Breast Cancer Diagnosis
AV Ikechukwu, S Bhimshetty, R Deepu, MV Mala
2024 International Conference on Distributed Computing and Optimization 2024
- 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
- Effective Approach for Fine-Tuning Pre-Trained Models for the Extraction of Texts From Source Codes
D Shruthi, HK Chethan, VI Agughasi
ITM Web of Conferences 65, 03004 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
- 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
- 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
- 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
- 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
- i-Net: a deep CNN model for white blood cancer segmentation and classification
S Murali, AV Ikechukwu
Int. J. Adv. Technol. Eng. Explor. 9 2022
- i-Net: a deep CNN model for white blood cancer segmentation and classification
AV Ikechukwu, S Murali
Int. J. Adv. Technol. Eng. Explor 9 (95), 1448-1464 2022
- Explainable deep learning model for Covid-19 diagnosis
AV Ikechukwu, P Sreyas, A Sena, H Preetham, K Raksha
IRJMETS, vol. 04, no. 07 10 (11), 3051-3059 2022
- 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
- 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
- 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
- DeepuR. C. Shivamurthy.(2021). ResNet-50 vs VGG-19 vs training from scratch: a comparative analysis of pneumonia segmentation and classification from chest X-ray images
AV Ikechukwu, S MuraliR
Proceedings on Global Transitions. Vol, no2, pp375-381. https://doi. org/10 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. Global Transitions Proceedings
AV Ikechukwu, S Murali, R Deepu, RC Shivamurthy
2021
- Early Prognosis of Heart Failure from Clinical Symptoms using K-Means and Nave Bayes Algorithms
Agughasi Victor Ikechukwu, Yashashwini DK Snehil Das M
International Journal of Advanced Research in Computer and Communication 2020