Current trends in segmentation of medical ultrasound B-mode images: a review V Shrimali, RS Anand, V Kumar IETE technical review 26 (1), 8-17, 2009 | 59 | 2009 |
Improved segmentation of ultrasound images for fetal biometry, using morphological operators V Shrimali, RS Anand, V Kumar 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 50 | 2009 |
Comparing the performance of ultrasonic liver image enhancement techniques: a preference study V Shrimali, RS Anand, V Kumar IETE Journal of Research 56 (1), 4-10, 2010 | 35 | 2010 |
Automated techniques for the interpretation of fetal abnormalities: a review V Rawat, A Jain, V Shrimali Applied bionics and biomechanics 2018 (1), 6452050, 2018 | 29 | 2018 |
Medical feature based evaluation of structuring elements for morphological enhancement of ultrasonic images V Shrimali, RS Anand, V Kumar, RK Srivastav Journal of medical engineering & technology 33 (2), 158-169, 2009 | 17 | 2009 |
Automatic detection of fetal abnormality using head and abdominal circumference V Rawat, A Jain, V Shrimali, A Rawat Computational Collective Intelligence: 8th International Conference, ICCCI …, 2016 | 16 | 2016 |
Automatic assessment of foetal biometric parameter using GVF snakes V Rawat, A Jain, V Shrimali, A Rawat International Journal of Biomedical Engineering and Technology 12 (4), 321-333, 2013 | 11 | 2013 |
Detection and classification of brain tumor using hybrid feature extraction technique M Singh, V Shrimali, M Kumar Multimedia Tools and Applications 82 (14), 21483-21507, 2023 | 8 | 2023 |
Classification of brain tumor using hybrid deep learning approach M Singh, V Shrimali BRAIN. Broad Research in Artificial Intelligence and Neuroscience 13 (2 …, 2022 | 5 | 2022 |
Performance analysis of different learning algorithms of feed forward neural network regarding fetal abnormality detection V Rawat, A Jain, V Shrimali, S Raghuvanshi Transactions on Computational Collective Intelligence XXX, 118-132, 2018 | 5 | 2018 |
Two-level combined classification technique using ranklet transformation for the detection of MRI brain tumor M Singh, V Shrimali 2020 IEEE 17th India council international conference (INDICON), 1-5, 2020 | 4 | 2020 |
Effect of non-linear capacitance on a non-uniform transmission line L Kumar, V Shankar Pandey, H Parthasarathy, V Shrimali, G Varshney The European Physical Journal Plus 131, 1-17, 2016 | 4 | 2016 |
Exploring statistical parameters of machine learning techniques for detection and classification of brain tumor M Singh, V Shrimali International Journal of Innovative Technology and Exploring Engineering …, 2019 | 3 | 2019 |
Hysteresis effects on a non-uniform transmission line with induced quantum mechanical atomic transitions L Kumar, VS Pandey, H Parthasarathy, V Shrimali Journal of Superconductivity and Novel Magnetism 31, 1587-1605, 2018 | 3 | 2018 |
Neural Modeling of Fetal Biometric Parameters for Detection of Fetal Abnormality V Rawat, A Jain, V Shrimali, S Raghuwansi IETE Journal of Research 67 (4), 546-558, 2021 | 2 | 2021 |
Quantum-mechanical estimation of rectangular waveguide parameters with atomic entropy computation L Kumar, V Shankar Pandey, H Parthasarathy, V Shrimali, G Varshney The European Physical Journal Plus 132, 1-25, 2017 | 2 | 2017 |
Analysis and Assessment of Ultrasound Images for Fetal Biometry Using Morphological Operators. V Rawat, A Jain, V Shrimali IICAI, 1271-1279, 2011 | 2 | 2011 |
Medical feature based qualitative evaluation of denoising techniques for ultrasound liver images V Shrimali, RS Anand, V Kumar, RK Srivastav International Journal of Signal and Imaging Systems Engineering 1 (2), 135-144, 2008 | 2 | 2008 |
A Review on Communication Infrastructures in 5G Cellular Networks V SHRIMALI, A GAUR | 1 | |
Enhanced 3D U-Net Segmentation Architecture for the Detection and Localization of Brain Tumor M Singh, V Shrimali, P Badola 2023 International Conference on Recent Advances in Electrical, Electronics …, 2023 | | 2023 |