Publications by authors named "Krishnaraj Chadaga"

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AlzStack: Forecasting early-onset Alzheimer's with an explainable AI system using multiple data balancing techniques.
Venkata Aditi Modali, Manohar Pavanya, R Vijaya Arjunan, D Cenitta, Niranjana Sampathila, Krishnaraj Chadaga

Glob Epidemiol· June 2026

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Proposed dense variational autoencoder model integrated with contrastive learning for foot ulcer classification.
Gunjan Shandilya, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Krishnaraj Chadaga

Sci Rep· January 2026

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A Model of the First Trimester Evaluation of Foetal Movements and Their Outcomes via Explainable Artificial Intelligence: A Multicentric Study.
Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao

Healthc Technol Lett· September 2025

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Explainable artificial intelligence driven insights into smoking prediction using machine learning and clinical parameters.
S Aishwarya, P C Siddalingaswamy, Krishnaraj Chadaga

Sci Rep· July 2025

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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.
Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao

Sci Rep· July 2025

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Detection of breast cancer using machine learning and explainable artificial intelligence.
Tharunya Arravalli, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, D Cenitta, Rajagopala Chadaga

Sci Rep· July 2025

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Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes.
B S Dhruva Darshan, Niranjana Sampathila, G Muralidhar Bairy, Srikanth Prabhu, Sushma Belurkar, Krishnaraj Chadaga

Sci Rep· January 2025

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Author Correction: An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients.
Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga

Sci Rep· January 2025

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Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine.
Ali Muhaimil, Saikiran Pendem, Niranjana Sampathilla, Priya P S, Kaushik Nayak, Krishnaraj Chadaga

F1000Res· November 2024

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An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients.
Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga

Sci Rep· October 2024

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Detection of anemic condition in patients from clinical markers and explainable artificial intelligence.
B S Dhruva Darshan, Niranjana Sampathila, Muralidhar G Bairy, Sushma Belurkar, Srikanth Prabhu, Krishnaraj Chadaga

Technol Health Care· July 2024

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SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques.
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Devadas Bhat

SLAS Technol· April 2024

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Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers.
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth

Sci Rep· January 2024

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Artificial intelligence for diagnosis of mild-moderate COVID-19 using haematological markers.
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, Niranjana Sampathila, Shashikiran Umakanth, Rajagopala Chadaga

Ann Med· December 2023

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COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador.
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, Niranjana Sampathila, Shashikiran Umakanth

SLAS Technol· December 2023

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A decision support system for osteoporosis risk prediction using machine learning and explainable artificial intelligence.
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Rajagopala Chadaga, Srikanth Prabhu

Heliyon· December 2023

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Deep learning based detection of monkeypox virus using skin lesion images.
Tushar Nayak, Krishnaraj Chadaga, Niranjana Sampathila, Hilda Mayrose, Nitila Gokulkrishnan

Med Nov Technol Devices· June 2023

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A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence.
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, Niranjana Sampathila, Shashikiran Umakanth, Rajagopala Chadaga

Bioengineering (Basel)· March 2023

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Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review.
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Sumith Nireshwalya, Swathi S Katta

Diagnostics (Basel)· February 2023

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AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model.
Vasundhara Acharya, Gaurav Dhiman, Krishna Prakasha, Pranshu Bahadur, Ankit Choraria, Krishnaraj Chadaga

Comput Intell Neurosci· October 2022

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Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images.
Niranjana Sampathila, Krishnaraj Chadaga, Neelankit Goswami, Rajagopala P Chadaga, Mayur Pandya

Healthcare (Basel)· September 2022

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Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning.
Krishnaraj Chadaga, Chinmay Chakraborty, Srikanth Prabhu, Shashikiran Umakanth, Vivekananda Bhat

Interdiscip Sci· June 2022

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