Breast cancer histology images classification: Training from scratch or transfer learning? S Sharma, R Mehra ICT Express 4 (4), 247-254, 2018 | 248 | 2018 |
Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—A Comparative Insight S Sharma, R Mehra Journal of Digital Imaging, 1-23, 2020 | 193 | 2020 |
The Xception model: A potential feature extractor in breast cancer histology images classification S Sharma, S Kumar ICT Express 8 (1), 101-108, 2022 | 67 | 2022 |
Effect of layer-wise fine-tuning in magnification-dependent classification of breast cancer histopathological image S Sharma, R Mehra The Visual Computer, 1-15, 2019 | 47 | 2019 |
A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data S Sharma, PK Mandal ACM Computing Surveys (CSUR) 55 (2), 1-44, 2022 | 40 | 2022 |
Implications of pooling strategies in convolutional neural networks: A deep insight S Sharma, R Mehra Foundations of Computing and Decision Sciences 44 (3), 303-330, 2019 | 40 | 2019 |
Optimised CNN in conjunction with efficient pooling strategy for the multi‐classification of breast cancer S Sharma, R Mehra, S Kumar IET Image Processing, 2021 | 28 | 2021 |
Detection and Analysis of Lung Cancer Using Radiomic Approach S Sharma, P Nanglia, S Kumar, AK Luhach Smart Computational Strategies: Theoretical and Practical Aspects, 13-24, 2019 | 24 | 2019 |
Sub-classification of invasive and non-invasive cancer from magnification independent histopathological images using hybrid neural networks S Kumar, S Sharma Evolutionary Intelligence, 1-13, 2021 | 23 | 2021 |
Automatic Magnification Independent Classification of Breast Cancer Tissue in Histological Images Using Deep Convolutional Neural Network S Sharma, R Mehra Advanced Informatics for Computing Research, Communications in Computer and …, 2018 | 22 | 2018 |
Assessment of fine particulate matter for port city of eastern peninsular india using gradient boosting machine learning model M Sharma, N Kumar, S Sharma, V Jangra, S Mehandia, S Kumar, ... Atmosphere 13 (5), 743, 2022 | 7 | 2022 |
Invasive ductal carcinoma grade classification in histopathological images using transfer learning approach E Kumaraswamy, S Sharma, S Kumar 2021 IEEE Bombay Section Signature Conference (IBSSC), 1-6, 2021 | 7 | 2021 |
A comparative analysis for Haar wavelet efficiency to remove Gaussian and Speckle noise from image Shallu, Y Narayan, P Nanglia Computing for Sustainable Global Development (INDIACom), 2016 3rd …, 2016 | 6* | 2016 |
A review on cancer detection strategies with help of biomedical images using machine learning techniques E Kumaraswamy, S Sharma, S Kumar AIP Conference Proceedings 2418 (1), 2022 | 5 | 2022 |
A hybrid deep model with concatenating framework of convolutional neural networks for identification of autism spectrum disorder S Kumar, S Sharma Enabling Technology for Neurodevelopmental Disorders, 230-239, 2022 | 4 | 2022 |
Brain Stress Mapping in COVID-19 Survivors Using MR Spectroscopy: new avenue of mental health status monitoring A Samkaria, K Punjabi, S Sharma, S Joon, K Sandal, T Dasgupta, ... Journal of Alzheimer's Disease 83 (2), 523-530, 2021 | 4 | 2021 |
ASIC design of IIR butterworth digital filter for electrocardiogram RS Chauhan, R Mehra, S Sharma 2017 8th International Conference on Computing, Communication and Networking …, 2017 | 3 | 2017 |
Reconfigurable band pass filter using Kaiser window for satellite communication V Kumar, R Mehra, Shallu Next Generation Computing Technologies (NGCT), 2016 2nd International …, 2016 | 3 | 2016 |
Comprehensive Account of Sodium Imaging and Spectroscopy for Brain Research P Handa, A Samkaria, S Sharma, Y Arora, PK Mandal ACS Chemical Neuroscience, 2022 | 2 | 2022 |
An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images S Sharma, S Kumar, M Sharma, A Kalkal Neural Computing and Applications, 1-21, 2024 | 1 | 2024 |