Research output per year
Research output per year
- 36 results
Search results
-
2023
A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence
Chadaga, K., Prabhu, S., Bhat, V., Sampathila, N., Umakanth, S. & Chadaga, R., 04-2023, In: Bioengineering. 10, 4, 439.Research output: Contribution to journal › Article › peer-review
Open Access11 Citations (Scopus) -
A Distinctive Explainable Machine Learning Framework for Detection of Polycystic Ovary Syndrome
Khanna, V. V., Chadaga, K., Sampathila, N., Prabhu, S., Bhandage, V. & Hegde, G. K., 04-2023, In: Applied System Innovation. 6, 2, 32.Research output: Contribution to journal › Article › peer-review
Open Access12 Citations (Scopus) -
A machine learning and explainable artificial intelligence approach for predicting the efficacy of hematopoietic stem cell transplant in pediatric patients
Chadaga, K., Prabhu, S., Sampathila, N. & Chadaga, R., 11-2023, In: Healthcare Analytics. 3, 100170.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
Khanna, V. V., Chadaga, K., Sampathila, N., Prabhu, S. & Rajagopala Chadaga, P., 06-2023, In: Decision Analytics Journal. 7, 100246.Research output: Contribution to journal › Article › peer-review
Open Access -
Artificial intelligence for diagnosis of mild-moderate COVID-19 using haematological markers
Chadaga, K., Prabhu, S., Bhat, V., Sampathila, N., Umakanth, S. & Chadaga, R., 01-12-2023, In: Annals of Medicine. 55, 1, p. 2233541 1 p., 2233541.Research output: Contribution to journal › Article › peer-review
Open Access -
Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals
Sharma, M., Lodhi, H., Yadav, R., Sampathila, N., Swathi, K. S. & Rajendra Acharya, U., 2023, In: IEEE Access. 11, p. 50946-50961 16 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings
Krishnamoorthy, A., Bairy, G. M., Siddeshappa, N., Mayrose, H., Sampathila, N. & Chadaga, K., 02-2023, In: Computers. 12, 2, 43.Research output: Contribution to journal › Article › peer-review
Open Access -
Classification of human emotional states based on valence-Arousal scale using electroencephalogram
Shashi Kumar, G., Sampathila, N. & Martis, R., 01-04-2023, In: Journal of Medical Signals and Sensors. 13, 2, p. 173-182 10 p.Research output: Contribution to journal › Article › peer-review
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Deep learning based detection of monkeypox virus using skin lesion images
Nayak, T., Chadaga, K., Sampathila, N., Mayrose, H., Gokulkrishnan, N., Bairy G, M., Prabhu, S., S, S. K. & Umakanth, S., 06-2023, In: Medicine in Novel Technology and Devices. 18, 100243.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence
Nayak, T., Chadaga, K., Sampathila, N., Mayrose, H., Muralidhar Bairy, G., Prabhu, S., Katta, S. S. & Umakanth, S., 2023, In: Applied Mathematics in Science and Engineering. 31, 1, 2225698.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine Learning-Based Detection of Dengue from Blood Smear Images Utilizing Platelet and Lymphocyte Characteristics
Mayrose, H., Bairy, G. M., Sampathila, N., Belurkar, S. & Saravu, K., 01-2023, In: Diagnostics. 13, 2, 220.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence
Susmita, S., Chadaga, K., Sampathila, N., Prabhu, S., Chadaga, R. & Swathi Katta, S., 08-2023, In: Information (Switzerland). 14, 8, 435.Research output: Contribution to journal › Article › peer-review
Open Access -
2022
Classification of Malaria Using Object Detection Models
Krishnadas, P., Chadaga, K., Sampathila, N., Rao, S., Swathi, K. S. & Prabhu, S., 12-2022, In: Informatics. 9, 4, 76.Research output: Contribution to journal › Article › peer-review
Open Access11 Citations (Scopus) -
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Chadaga, K., Chakraborty, C., Prabhu, S., Umakanth, S., Bhat, V. & Sampathila, N., 06-2022, In: Interdisciplinary Sciences: Computational Life Sciences. 14, 2, p. 452-470 19 p.Research output: Contribution to journal › Article › peer-review
Open Access25 Citations (Scopus) -
Computational approach for content-based image retrieval of K-similar images from brain MR image database
Sampathila, N., Pavithra & Martis, R. J., 08-2022, In: Expert Systems. 39, 7, e12652.Research output: Contribution to journal › Article › peer-review
14 Citations (Scopus) -
Customized Deep Learning Classifier for Detection of Acute Lymphoblastic Leukemia Using Blood Smear Images
Sampathila, N., Chadaga, K., Goswami, N., Chadaga, R. P., Pandya, M., Prabhu, S., Bairy, M. G., Katta, S. S., Bhat, D. & Upadya, S. P., 10-2022, In: Healthcare (Switzerland). 10, 10, 1812.Research output: Contribution to journal › Article › peer-review
Open Access14 Citations (Scopus) -
Deep learning model for detection of COVID-19 utilizing the chest X-ray images
Abdul Gafoor, S., Sampathila, N., Madhushankara, M. & Swathi, K. S., 2022, In: Cogent Engineering. 9, 1, 2079221.Research output: Contribution to journal › Article › peer-review
Open Access11 Citations (Scopus) -
Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences
Erten, M., Acharya, M. R., Kamath, A. P., Sampathila, N., Bairy, G. M., Aydemir, E., Barua, P. D., Baygin, M., Tuncer, I., Dogan, S. & Tuncer, T., 12-2022, In: Diagnostics. 12, 12, 3181.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Machine learning approach for classification of maculopapular and vesicular rashes using the textural features of the skin images
Sudhakara Upadya, P., Sampathila, N., Hebbar, H. & Pai, S. B., 2022, In: Cogent Engineering. 9, 1, 2009093.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Machine Learning Models for Classification of Human Emotions Using Multivariate Brain Signals
Kumar G. S, S., Arun, A., Sampathila, N. & Vinoth, R., 10-2022, In: Computers. 11, 10, 152.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Novel Radiomics Features for Automated Detection of Cardiac Abnormality in Patients with Pacemaker
Umesh Pai, M., Ardakani, A. A., Kamath, A., Raghavendra, U., Gudigar, A., Venkatesh, N., Samanth, J., Devasia, T., Prabhu, M. A., Sampathila, N. & Bairy, G. M., 2022, In: Computational and Mathematical Methods in Medicine. 2022, p. 1279749 1279749.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach
Chadaga, K., Prabhu, S., Sampathila, N., Chadaga, R., Swathi, S. & Sengupta, S., 2022, In: Cogent Engineering. 9, 1, 2143040.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus) -
Wavelet based machine learning models for classification of human emotions using EEG signal
Kumar G S, S., Sampathila, N. & Tanmay, T., 12-2022, In: Measurement: Sensors. 24, 100554.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
2021
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis
Khandekar, R., Shastry, P., Jaishankar, S., Faust, O. & Sampathila, N., 07-2021, In: Biomedical Signal Processing and Control. 68, 102690.Research output: Contribution to journal › Article › peer-review
41 Citations (Scopus) -
COVID-19 Mortality Prediction among Patients Using Epidemiological Parameters: An Ensemble Machine Learning Approach
Chadaga, K., Prabhu, S., Umakanth, S., Bhat, V. K., Sampathila, N., Chadaga, R. P. & Prakasha, K. K., 2021, In: Engineered Science. 16, p. 221-233 13 p.Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus) -
Intelligent algorithm for detection of dengue using mobilenetv2-based deep features with lymphocyte nucleus
Mayrose, H., Sampathila, N., Bairy, G. M., Belurkar, S., Saravu, K., Basu, A. & Khan, S., 2021, (Accepted/In press) In: Expert Systems.Research output: Contribution to journal › Article › peer-review
5 Citations (SciVal) -
X-ray versus computerized tomography (CT) images for detection of COVID-19 using deep learning
Siddeshappa, N., Varur, T., Subramani, K., Puranik, S. & Sampathila, N., 2021, In: F1000Research. 10, 1292.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
2020
Performance analysis of various multipliers using 8T-full adder with 180nm technology
Sai Venkatramana Prasada, G. S., Seshikala, G. & Niranjana, S., 2020, In: Recent Advances in Electrical and Electronic Engineering. 13, 6, p. 864-870 7 p.Research output: Contribution to journal › Article › peer-review
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2019
A technology framework for remote patient care in dermatology for early diagnosis
Sudhakara, U. P., Hebbar, H., Arunkumar, G. & Sampathila, N., 01-01-2019, In: Informatics in Medicine Unlocked. 15, 100171.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Design of high speed 32-bit floating point multiplier using Urdhva Triyagbhyam sutra of vedic mathematics
Sai Venkatramana Prasada, G. S., Seshikala, G. & Niranjana, S., 01-07-2019, In: International Journal of Recent Technology and Engineering. 8, 2 Special issue 3, p. 1064-1067 4 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Homecare system for demented people using IoT
Rao, S., Tilekar, V. S. & Sampathila, N., 11-2019, In: International Journal of Innovative Technology and Exploring Engineering. 9, 1, p. 1043-1046 4 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Research on IEEE 754 standard single precision floating point multipliers designed using urdhva triyagbhyam sutra of vedic mathematics
Sai Venkatramana Prasada, G. S., Seshikala, G. & Niranjana, S., 09-2019, In: International Journal of Recent Technology and Engineering. 8, 2 Special Issue 11, p. 2990-2993 4 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
2018
Computational approach for diagnosis of malaria through classification of malaria parasite from microscopic image of blood smear
Sampathila, N., Shet, N. & Basu, A., 01-01-2018, In: Biomedical Research (India). 29, 18, p. 3464-3468 5 p.Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus) -
2017
Morphological and texture based classification of dementia from mr images
Bhalerao, G. V., Hrabuska, R. & Sampathila, N., 01-04-2017, In: Journal of Medical Imaging and Health Informatics. 7, 2, p. 293-304 12 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
2016
Android based remote fall monitoring and generating location alert
Antony, F., Sobrun, P., Suluru, S. & Sampathila, N., 01-02-2016, In: International Journal of Applied Engineering Research. 11, 1, p. 669-674 6 p.Research output: Contribution to journal › Article › peer-review
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2011
Raman spectroscopy and conductivity variation of nanocluster carbon thin films grown using a room temperature based cathodic arc process
De, S., Niranjana, S., Satyanarayana, B. S. & Mohan Rao, K., 2011, In: Scientia Iranica. 18, 3 F, p. 797-803 7 p.Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus)