Victor Ikechukwu Agughasi

@mitmysore.in

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

Victor Ikechukwu Agughasi


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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
552

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Optimized Segmentation and Hybrid
    S Prathibha, KN Madhusudhan, VI Agughasi
    Computing and Machine Learning: Proceedings of CML 2025, Volume 3 3, 291 , 2026
    2026
  • Optimized Segmentation and Hybrid Features for Accurate Diabetic Retinopathy Diagnosis
    S Prathibha, KN Madhusudhan, VI Agughasi
    Lecture Notes in Networks and Systems 1614 (02), 291-305 , 2026
    2026
  • HFFN: A Hybrid Feature Fusion Network for Representing Source Code
    S D, HK Chethan, VI Agughasi
    Inteligencia Artificial 29 (77), 57-77 , 2026
    2026
  • AutoDocDB: A Novel Framework for Automated Source Code Summarization in Database Management Systems via Advanced Text Extraction and CodeT5+ Integration
    D Shruthi, HK Chethan, VI Agughasi
    International Journal of Research and Analytical Reviews ( 13 (1), 284 , 2026
    2026
  • HFFN for Java: A Hybrid Feature Fusion Network for Automated Code Summarization
    S D, HK Chethan, VI Agughasi
    International Journal of Science and Research (IJSR) 15 (1), 1321-1337 , 2026
    2026
  • Evaluating the Feasibility of a Pre-processing Framework for Enhanced Text Information Extraction from Source Codes
    D Shruthi, HK Chethan, VI Agughasi
    Advances in Data-Driven Computing and Intelligent Systems: Selected Papers … , 2025
    2025
  • Firefly-Based Segmentation and Residual Deep Learning for Multi-Class Diabetic Retinopathy Detection
    S Prathibha, KN Madhusudhan, VI Agughasi
    Inteligencia Artificial 28 (76), 223-252 , 2025
    2025
    Citations: 1
  • A Novel Deep Learning-Based Technique for Automatic Source Code Summarization
    HK Chethan, AV Ikechukwu
    International Conference on ICT for Sustainable Development, 525-537 , 2025
    2025
  • Optimizing ResNet50 and VGG19 Networks for Accurate COPD Diagnosis Through CXR Analysis
    VI Agughasi, S Bhimshetty
    Advances in Communication and Applications: Proceedings of ERCICAM 2024 1300 … , 2025
    2025
  • 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
    2024
    Citations: 28
  • Evaluating the Feasibility of a Pre-processing Framework for Enhanced Text Information Extraction from Source Codes
    D Shruthi, HK Chethan, VI Agughasi
    International Conference on Advances in Data-driven Computing and … , 2024
    2024
    Citations: 2
  • 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
    2024
    Citations: 14
  • 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
    2024
    Citations: 13
  • Advances in thermal imaging: a convolutional neural network approach for improved breast cancer diagnosis
    AV Ikechukwu, S Bhimshetty, MV Mala
    2024 International Conference on Distributed Computing and Optimization … , 2024
    2024
    Citations: 10
  • Optimizing ResNet50 and VGG19 Networks for Accurate COPD Diagnosis Through CXR Analysis
    AV Ikechukwu, S Bhimshetty
    International Conference on Emerging Research in Computing, Information … , 2024
    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
    2024
    Citations: 24
  • 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
    2024
    Citations: 6
  • 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
    Citations: 2
  • 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
    Citations: 17
  • 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
    2023
    Citations: 18

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
    2021
    Citations: 303
  • CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
    A Victor Ikechukwu, M S
    Machine Learning: Science and Technology 4 (2), 025021 , 2023
    2023
    Citations: 37
  • i-Net: a deep CNN model for white blood cancer segmentation and classification
    AV Ikechukwu, S Murali
    International Journal of Advanced Technology and Engineering Exploration 9 … , 2022
    2022
    Citations: 34
  • 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
    2024
    Citations: 28
  • 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
    Citations: 24
  • 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
    2023
    Citations: 18
  • 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
    Citations: 17
  • 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
    2023
    Citations: 15
  • 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
    2024
    Citations: 14
  • 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
    2024
    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
    2022
    Citations: 12
  • Advances in thermal imaging: a convolutional neural network approach for improved breast cancer diagnosis
    AV Ikechukwu, S Bhimshetty, MV Mala
    2024 International Conference on Distributed Computing and Optimization … , 2024
    2024
    Citations: 10
  • 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
    2024
    Citations: 6
  • i-Net: a deep CNN model for white blood cancer segmentation and classification
    IA Victor, S Murali
    Int. J. Adv. Technol. Eng. Explor 9 (95) , 2022
    2022
    Citations: 6
  • xAI: an explainable AI model for the diagnosis of COPD from CXR images
    VI Agughasi
    IEEE , 2023
    2023
    Citations: 3
  • 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
    Citations: 3
  • Evaluating the Feasibility of a Pre-processing Framework for Enhanced Text Information Extraction from Source Codes
    D Shruthi, HK Chethan, VI Agughasi
    International Conference on Advances in Data-driven Computing and … , 2024
    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
    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
    2021
    Citations: 2
  • Firefly-Based Segmentation and Residual Deep Learning for Multi-Class Diabetic Retinopathy Detection
    S Prathibha, KN Madhusudhan, VI Agughasi
    Inteligencia Artificial 28 (76), 223-252 , 2025
    2025
    Citations: 1