Victor Ikechukwu Agughasi

@mitmysore.in

Research Scholar, Department of Computer Science and Engineering
Maharaja Institute of Technology Mysore

I am a research scholar seeking for collaborations in medical imaging, especially in explainable AI models for disease diagnosis and prognosis.

EDUCATION

BSc (2010)
MSc (2016)
Ph.D. (in view)

RESEARCH INTERESTS

Medical Image Processing, Machine Learning, Deep Learning, Explainable AI models and Computer Vision

349

Scholar Citations

Scholar h-index

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

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

MOST CITED SCHOLAR PUBLICATIONS

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
Citations: 22

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
Citations: 13

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
Citations: 10

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
Citations: 9

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
Citations: 7

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
Citations: 6

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
Citations: 5

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
Citations: 4

Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ...
Machine Learning for Health (ML4H), 1-12 2023
Citations: 2

Diagnosis of Chronic Kidney Disease using Nave Bayes algorithm Supported by Stage Prediction using eGFR
Agughasi Victor Ikechukwu, Nivedha K, Prakruthi NM, Fathima Farheen, Harini ...
2020
Citations: 1

Global Transitions Proceedings
AV Ikechukwu, S Murali, R Deepu, RC Shivamurthy

Citations: 1