Eliazer, M., Amaran, S., Sreekumar, K., Vikram, A., Joshi, G. P., & Cho, W. (2025). Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-08342-2

ELIAZER, M., AMARAN, Sibi, SREEKUMAR, K., VIKRAM, A., JOSHI, Gyanendra Prasad and CHO, Woong, 2025. Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images. Scientific Reports. 1 December 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-08342-2.

Eliazer, M., S. Amaran, K. Sreekumar, A. Vikram, G. P. Joshi, and W. Cho. “Integrating Vision Transformer-Based Deep Learning Model With Kernel Extreme Learning Machine for Non-Invasive Diagnosis of Neonatal Jaundice Using Biomedical Images”. Scientific Reports, vol. 15, no. 1, Dec. 2025, https://doi.org/10.1038/s41598-025-08342-2.

Eliazer, M./Amaran, Sibi/Sreekumar, K./Vikram, A./Joshi, Gyanendra Prasad/Cho, Woong: Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images, Scientific Reports 2025,

Eliazer, M., Amaran, S., Sreekumar, K., Vikram, A., Joshi, G.P. and Cho, W. (2025), “Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images”, Scientific Reports, Vol. 15 No. 1, available at:https://doi.org/10.1038/s41598-025-08342-2.