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

183

Scholar Citations

4

Scholar h-index

4

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • 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

  • 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
    Agughasi Victor Ikechukwu, Murali S
    International Journal of Advanced Technology and Engineering Exploration 2022

  • 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

  • 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

  • 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

  • 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

  • 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

  • Semi-supervised labelling of chest x-ray images using unsupervised clustering for ground-truth generation
    AV Ikechukwu, M Srinivasiah


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


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: 123

  • 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
    Citations: 22

  • 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: 11

  • 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
    Citations: 11

  • 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: 4

  • 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
    Citations: 4

  • 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: 3

  • 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: 3

  • Semi-supervised labelling of chest x-ray images using unsupervised clustering for ground-truth generation
    AV Ikechukwu, M Srinivasiah

    Citations: 1

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

    Citations: 1