All Publications

Y. S. D, S. Meher, and S. K. Dhara,"Lightweight explainable computer aided diagnosis for pulmonary nodule classification using 3d ct", Biomedical Signal Processing and Control, vol.118, pp.109671, Elsevier 2026, View Details       Article

A. Sahu and S. Meher,"A modified relation and margin-based deep learning network for automatic breast cancer detection", IEEE Transactions on Computational Biology and Bioinformatics, IEEE 2025, 10.1109/tcbbio.2025.3565465}}       Article

P. K. Das, S. Meher, A. Rath, and G. Panda,"An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia", ISA Transactions, vol.158, pp.488-496, Elsevier 2025, 10.1016/j.isatra.2024.12.043       Article

P. K. Das, A. Sahu, S. Meher, R. Panda, and A. Abraham,"Enhanced detection of acute leukemia: a hybrid machine learning framework with adaptive weight-optimized level set evolution", Engineering applications of artificial intelligence, vol.161, pp.112244, Elsevier 2025, https://doi.org/10.1016/j.engappai.2025.112244       Article

S. Dilla and S. Meher,"Hybrid deep learning framework for multi-class plant disease classification and detection", in 2025 7th international conference on electrical, control and instrumentation engineering (icecie), pp.515-522, IEEE 2025, 10.1109/icecie66637.2025.11363854}}       Inproceedings

P. K. Das, A. Sahu, D. Xavy, and S. Meher,"A Deforestation Detection Network Using Deep Learning-Based Semantic Segmentation", IEEE Sensors Letter, vol.8, no.7000104, pp.1-4, IEEE 2024, View Details       Article

P. K. Das, A. Sahu, V. A. Diya, and S. Meher,"SBCDNet: An Efficient Sparse-Based Deep Cascade Blood Cancer Detection Network", IEEE Sensors Letter, vol.8, no.7000104, IEEE 2024, View Details       Article

S. Das, S. Meher, and U. K. Sahoo,"An Adaptive Threshold Based Gait Authentication by Incorporating Quality Measures, name of the journal", AI Communications, vol.37, no.1, pp.149-168, IOS Press 2024, View Details       Article

Pvl. N. Rao and S. Meher,"ORG-RGRU: An automated diagnosed model for multiple diseases by heuristically based optimized deep learning using speech/voice signal", Biomedical Signal Processing and control, vol.88, no.1, pp.105493, Elsevier 2024, View Details       Article

P. K. Das, A. Dash, and S. Meher,"ACDSSNet: Atrous Convolution-based Deep Semantic Segmentation Network for Efficient Detection of Sickle Cell Anemia", IEEE Journal of Biomedical and Health Informatics, vol.28, no.10, pp.5676 - 5684, IEEE 2024, View Details       Article