Victor Ikechukwu Agughasi

@mitmysore.in

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



                          

https://researchid.co/victoragughasi

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

7

Scholar h-index

6

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

  • 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
    Citations: 228

  • 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
    Citations: 22

  • 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

  • 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
    Citations: 10

  • 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

  • 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
    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

  • 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
    Citations: 2

  • 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

  • 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
    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