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

    Article • SLAS TECHNOLOGY, April 2024, Elsevier

    Dr Niranjana Sampathila

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

    Article • Cogent Engineering, March 2024, Taylor & Francis

    Dr Niranjana Sampathila

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

    Article • Scientific Reports, January 2024, Springer Science + Business Media

    Dr Niranjana Sampathila

  4. Wavelet scattering‐ and object detection‐based computer vision for identifying dengue from peripheral blood microscopy

    Article • International Journal of Imaging Systems and Technology, January 2024, Wiley

    Dr Niranjana Sampathila

  5. An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Niranjana Sampathila

  6. Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Niranjana Sampathila

  7. COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador

    Article • SLAS TECHNOLOGY, December 2023, Elsevier

    Dr Niranjana Sampathila

  8. Current trends of artificial intelligence and applications in digital pathology: A comprehensive review

    Article • International Journal of ADVANCED AND APPLIED SCIENCES, December 2023, International Journal of Advanced and Applied Sciences

    Dr Niranjana Sampathila

  9. Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach

    Article • Intelligent Decision Technologies, November 2023, IOS Press

    Dr Niranjana Sampathila

  10. Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence

    Article • Information, August 2023, MDPI AG

    Dr Niranjana Sampathila

  11. Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers

    Article • Annals of Medicine, July 2023, Taylor & Francis

    Dr Niranjana Sampathila

  12. A machine learning and explainable artificial intelligence triage-prediction system for COVID-19

    Article • Decision Analytics Journal, June 2023, Elsevier

    Dr Niranjana Sampathila

  13. Deep learning based detection of monkeypox virus using skin lesion images

    Article • Medicine in Novel Technology and Devices, June 2023, Elsevier

    Dr Niranjana Sampathila

  14. A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence

    Article • Bioengineering, March 2023, MDPI AG

    Dr Niranjana Sampathila

  15. A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome

    Article • Applied System Innovation, February 2023, MDPI AG

    Dr Niranjana Sampathila

  16. Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review

    Article • Diagnostics, February 2023, MDPI AG

    Dr Niranjana Sampathila

  17. Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings

    Article • Computers, February 2023, MDPI AG

    Dr Niranjana Sampathila

  18. Machine Learning-Based Detection of Dengue from Blood Smear Images Utilizing Platelet and Lymphocyte Characteristics

    Article • Diagnostics, January 2023, MDPI AG

    Dr Niranjana Sampathila

  19. Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals

    Article • IEEE Access, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Niranjana Sampathila

  20. Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences

    Article • Diagnostics, December 2022, MDPI AG

    Dr Niranjana Sampathila

  21. Wavelet based machine learning models for classification of human emotions using EEG signal

    Article • Measurement Sensors, December 2022, Elsevier

    Dr Niranjana Sampathila

  22. Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals

    Article • Computers, October 2022, MDPI AG

    Dr Niranjana Sampathila

  23. Classification of Malaria Using Object Detection Models

    Article • Informatics, September 2022, MDPI AG

    Dr Niranjana Sampathila

  24. Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images

    Article • Healthcare, September 2022, MDPI AG

    Dr Niranjana Sampathila

  25. Diagnosing COVID-19 using artificial intelligence: a comprehensive review

    Article • Network Modeling Analysis in Health Informatics and Bioinformatics, July 2022, Springer Science + Business Media

    Dr Niranjana Sampathila

  26. Deep learning model for detection of COVID-19 utilizing the chest X-ray images

    Article • Cogent Engineering, May 2022, Taylor & Francis

    Dr Niranjana Sampathila

  27. Novel Radiomics Features for Automated Detection of Cardiac Abnormality in Patients with Pacemaker

    Article • Computational and Mathematical Methods in Medicine, May 2022, Hindawi Publishing Corporation

    Dr Ali Abbasian Ardakani, Dr Niranjana Sampathila

  28. Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning

    Article • Interdisciplinary Sciences Computational Life Sciences, February 2022, Springer Science + Business Media

    Dr Niranjana Sampathila

  29. Machine learning approach for classification of maculopapular and vesicular rashes using the textural features of the skin images

    Article • Cogent Engineering, December 2021, Taylor & Francis

    Dr Niranjana Sampathila

  30. X-ray versus computerized tomography (CT) images for detection of COVID-19 using deep learning

    Article • F1000Research, December 2021, Faculty of 1000, Ltd.

    Dr Niranjana Sampathila

  31. Intelligent algorithm for detection of dengue using mobilenetv2‐based deep features with lymphocyte nucleus

    Article • Expert Systems, November 2021, Wiley

    Dr Niranjana Sampathila

  32. Application of Artificial Intelligence to Predict the Degradation of Potential mRNA Vaccines Developed to Treat SARS-CoV-2

    Article • September 2021, Springer Science + Business Media

    Dr Niranjana Sampathila

  33. Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis

    Article • Biomedical Signal Processing and Control, July 2021, Elsevier

    Dr Niranjana Sampathila

  34. Battling COVID-19 using machine learning: A review

    Article • Cogent Engineering, January 2021, Taylor & Francis

    Dr Niranjana Sampathila

  35. COVID-19 Mortality Prediction among Patients using Epidemiological parameters: An Ensemble Machine Learning Approach

    Article • Engineered Science, January 2021, Engineered Science Publisher

    Dr Niranjana Sampathila

  36. Computational approach for content‐based image retrieval of K‐similar images from brain MR image database

    Article • Expert Systems, November 2020, Wiley

    Dr Niranjana Sampathila

  37. Performance Analysis of Various Multipliers using 8T-Full adder with 180nm technology

    Article • Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), January 2020, Bentham Science Publishers

    Dr Niranjana Sampathila

  38. Axial Impact Crushing Performance of Bi-tubular Structures with Stiffeners

    Article • International Journal of Innovative Technology and Exploring Engineering, November 2019, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

    Blue Eyes Intelligence Engineering and Sciences Blue Eyes Intelligence Engineering and Sciences Publication, Dr Niranjana Sampathila

  39. Research on IEEE 754 Standard Single Precision Floating Point Multipliers Designed using Urdhva Triyagbhyam Sutra of Vedic Mathematics

    Article • International Journal of Recent Technology and Engineering (IJRTE), November 2019, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

    Blue Eyes Intelligence Engineering and Sciences Blue Eyes Intelligence Engineering and Sciences Publication, Dr Niranjana Sampathila

  40. Design of High Speed 32-bit Floating Point Multiplier using Urdhva Triyagbhyam Sutra of Vedic Mathematics

    Article • International Journal of Recent Technology and Engineering (IJRTE), August 2019, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

    Blue Eyes Intelligence Engineering and Sciences Blue Eyes Intelligence Engineering and Sciences Publication, Dr Niranjana Sampathila

  41. A technology framework for remote patient care in dermatology for early diagnosis

    Article • Informatics in Medicine Unlocked, January 2019, Elsevier

    Dr Niranjana Sampathila

  42. Neural Network Approach for Classification of Human Emotions from EEG Signal

    Article • October 2018, Springer Science + Business Media

    Dr Niranjana Sampathila

  43. Performance Analysis of 64×64 bit Multiplier Designed Using Urdhva Tiryakbyham and Nikhilam Navatashcaramam Dashatah Sutras

    Article • August 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Niranjana Sampathila

  44. Computational approach for diagnosis of malaria through classification of malaria parasite from microscopic image of blood smear

    Article • Biomedical Research, January 2018, OMICS Publishing Group

    Dr Niranjana Sampathila

  45. A Novel Method for the Conversion of Scanned Electrocardiogram (ECG) Image to Digital Signal

    Article • December 2017, Springer Science + Business Media

    Dr Niranjana Sampathila

  46. Morphological and Texture Based Classification of Dementia from MR Images

    Article • Journal of Medical Imaging and Health Informatics, April 2017, American Scientific Publishers

    Dr Niranjana Sampathila

  47. Classification of Brain MR Images Using Corpus Callosum Shape Measurements

    Article • January 2017, IGI Global

    Dr Niranjana Sampathila

  48. K-means clustering approach for segmentation of corpus callosum from brain magnetic resonance images

    Article • November 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Niranjana Sampathila

  49. Raman spectroscopy and conductivity variation of nanocluster carbon thin films grown using a room temperature based cathodic arc process

    Article • Scientia Iranica, June 2011, Elsevier

    Dr Niranjana Sampathila

  50. Quantitative and Indirect Qualitative Analysis Approach for Nanodiamond Using SEM Images and Raman Response

    Article • January 2009, Springer Science + Business Media

    Dr Niranjana Sampathila

  51. Nanocluster carbon thin film as a semiconducting layer and feasibility for device application

    Article • December 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Niranjana Sampathila