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Niranjana Sampathila

Professor and Associate Dean

Manipal Institute of Technology

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Research Interests

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Professors in Medical Imaging

Articles (20)

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Collaborators (9)

Muralikrishna H

Assistant Professor

Manipal Institute of Technology

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Tracy Kolbe-Alexander

University of Southern Queensland

AUSTRALIA

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Priya Pattath Sankaran

Assistant Professor

Kasturba Medical College, Manipal

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U. Rajendra Acharya

University of Southern Queensland

AUSTRALIA

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Ravinesh Deo

Professor

University of Southern Queensland

AUSTRALIA

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Abhijith S

Research Scholar

Manipal University

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Abdul Hafeez-Baig

A/Professor

University of Southern Queensland

AUSTRALIA

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Devadas Bhat

Assistant professor (Sr. Scale)

Manipal Institute of Technology

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Krishnaraj Chadaga

Assistant Professor (Full time)

Manipal University

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Niranjana Sampathila

Research Interests

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Articles (20)

DVTPRED: an explainable machine learning framework for the early prediction of deep vein thrombosis

Diagnostic Accuracy of Artificial Intelligence Models for Differentiation of Squamous Cell Carcinoma and Adenocarcinoma of Lung—A Systematic Review

MRI-based machine learning models for differentiating Parkinson’s disease and Progressive Supranuclear Palsy [version 1; peer review: awaiting peer review]

Machine Learning-Based Gallstone Prediction Using Clinical Markers and Multiple Explainable AI Methods

Explainable AI-Integrated Stacked Machine-Learning Model for Detection of Infectious Conditions Utilizing Vital Signs and Hematological Biomarkers

Significance of essential vital signs for analysis of risk level of critical care patients – a review

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction

Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System

Behavioural Intentions to Adopt Artificial Intelligence in Healthcare: Exploring the Perception of Healthcare Professionals

Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy

Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine [version 2; peer review: 2 approved, 1 approved with reservations, 1 not approved]

Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine

Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers

Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach

Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks

Quality Assessment of MRI-Radiomics-Based Machine Learning Methods in Classification of Brain Tumors: Systematic Review

Explainable Artificial Intelligence and Deep Learning Methods for the Detection of Sickle Cell by Capturing the Digital Images of Blood Smears

Digital Pathology in Healthcare: Current Trends and Future Perspective

SADXAI: Predicting social anxiety disorder using multiple interpretable artificial intelligence techniques

Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers

Collaborators (9)

Muralikrishna H

Tracy Kolbe-Alexander

Priya Pattath Sankaran

U. Rajendra Acharya

Ravinesh Deo

Abhijith S

Abdul Hafeez-Baig

Devadas Bhat

Krishnaraj Chadaga

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