PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network M Dash, ND Londhe, S Ghosh, A Semwal, RS Sonawane Biomedical Signal Processing and Control 52, 226-237, 2019 | 109 | 2019 |
Studies on white light emission of Sr2MgSi2O7 doped with Dy3+ phosphors R Shrivastava, J Kaur, M Dash Superlattices and Microstructures 82, 262-268, 2015 | 65 | 2015 |
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis M Dash, ND Londhe, S Ghosh, VK Shrivastava, RS Sonawane Computational Biology and Chemistry 86, 107247, 2020 | 32 | 2020 |
A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment M Dash, ND Londhe, S Ghosh, R Raj, RS Sonawane Applied Soft Computing 91, 106240, 2020 | 28 | 2020 |
Design of 1-D and 2-D recursive filters using crossover bacterial foraging and cuckoo search techniques SK Sarangi, R Panda, M Dash Engineering applications of artificial intelligence 34, 109-121, 2014 | 26 | 2014 |
Psoriasis Lesion Detection Using Hybrid Seeker Optimization-based Image Clustering M Dash, ND Londhe, S Ghosh, R Raj, R Sonawane Current Medical Imaging 17 (11), 1330-1339, 2021 | 6 | 2021 |
Hybrid Seeker Optimization Algorithm-based Accurate Image Clustering for Automatic Psoriasis Lesion Detection M Dash, ND Londhe, S Ghosh, R Sonawane Artificial Intelligence Applications for Health Care, 227-240, 2022 | 2 | 2022 |
Optimum Detection of Human Genome Related to Cancer Cells Using Signal Processing M Dash, R Raj Genomics at the Nexus of AI, Computer Vision, and Machine Learning, 309-320, 2025 | | 2025 |
Effective Automated Medical Image Segmentation Using Hybrid Computational Intelligence Technique M Dash, R Indrakanti, M Narayana Blockchain and IoT Based Smart Healthcare Systems, 174-182, 2024 | | 2024 |
Detection of Psychological Stability Status Using Machine Learning Algorithms M Dash, M Narayana, NP Kalyan, MA Pasha, D Chandraprakash International Conference on Intelligent Systems and Machine Learning, 44-51, 2022 | | 2022 |
DESIGN OF FINITE IMPULSE RESPONSE FILTERS USING EVOLUTIONARY TECHNIQUES-AN EFFICIENT COMPUTATION M Das | | |