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Srikanth Prabhu

Showing results (1-10 of 20) with videos related to

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F1000Research|August 11, 2025
Region-wise landmarks-based feature extraction employing SIFT, SURF, and ORB feature descriptors to recognize Monozygotic twins from 2D/3D Facial ImagesGangothri Sanil, Krishna Prakasha K, Srikanth Prabhu, et al.
International Journal of Surgery Protocols|October 22, 2020
Effectiveness of proprioceptive training versus conventional exercises on postural sway in patients with early knee osteoarthritis - A randomized controlled trial protocolAshish John Prabhakar, Abraham M Joshua, Srikanth Prabhu, et al.
Interdisciplinary Sciences, Computational Life Sciences|February 8, 2022
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine LearningKrishnaraj Chadaga, Chinmay Chakraborty, Srikanth Prabhu, et al.
Bioengineering (Basel, Switzerland)|April 28, 2023
A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial IntelligenceKrishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, et al.
Annals of Medicine|July 12, 2023
Artificial intelligence for diagnosis of mild-moderate COVID-19 using haematological markersKrishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, et al.
SLAS Technology|September 9, 2023
COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from EcuadorKrishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, et al.
Scientific Reports|February 18, 2026
Interpretable machine learning and deep neural networks for ICU admission prediction in paediatric respiratory patientsV Srirama, Roshan Kumar, Krishnaraj Chadaga, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|February 10, 2024
Detection of anemic condition in patients from clinical markers and explainable artificial intelligenceB S Dhruva Darshan, Niranjana Sampathila, Muralidhar G Bairy, et al.
SLAS Technology|March 20, 2024
SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniquesKrishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Scientific Reports|January 20, 2024
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markersKrishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
F1000Research|August 11, 2025
Region-wise landmarks-based feature extraction employing SIFT, SURF, and ORB feature descriptors to recognize Monozygotic twins from 2D/3D Facial ImagesGangothri Sanil, Krishna Prakasha K, Srikanth Prabhu, et al.
International Journal of Surgery Protocols|October 22, 2020
Effectiveness of proprioceptive training versus conventional exercises on postural sway in patients with early knee osteoarthritis - A randomized controlled trial protocolAshish John Prabhakar, Abraham M Joshua, Srikanth Prabhu, et al.
Interdisciplinary Sciences, Computational Life Sciences|February 8, 2022
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine LearningKrishnaraj Chadaga, Chinmay Chakraborty, Srikanth Prabhu, et al.
Bioengineering (Basel, Switzerland)|April 28, 2023
A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial IntelligenceKrishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, et al.
Annals of Medicine|July 12, 2023
Artificial intelligence for diagnosis of mild-moderate COVID-19 using haematological markersKrishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, et al.
SLAS Technology|September 9, 2023
COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from EcuadorKrishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat, et al.
Scientific Reports|February 18, 2026
Interpretable machine learning and deep neural networks for ICU admission prediction in paediatric respiratory patientsV Srirama, Roshan Kumar, Krishnaraj Chadaga, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|February 10, 2024
Detection of anemic condition in patients from clinical markers and explainable artificial intelligenceB S Dhruva Darshan, Niranjana Sampathila, Muralidhar G Bairy, et al.
SLAS Technology|March 20, 2024
SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniquesKrishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Scientific Reports|January 20, 2024
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markersKrishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Pageof 2