Identifying COVID19 from chest CT images: a deep convolutional neural networks based approach AK Mishra, SK Das, P Roy, S Bandyopadhyay Journal of Healthcare Engineering 2020 (1), 8843664, 2020 | 164 | 2020 |
Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach AK Mishra, P Roy, S Bandyopadhyay, SK Das Expert Systems, e12713, 2021 | 77 | 2021 |
DFU_SPNet: A stacked parallel convolution layers based CNN to improve Diabetic Foot Ulcer classification SK Das, P Roy, AK Mishra ICT Express 8 (2), 271-275, 2022 | 53 | 2022 |
Automatic diabetes prediction using tree based ensemble learners S Kumar Das, A Kumar Mishra, P Roy International Journal of Computational Intelligence & IoT 2 (2), 2019 | 32 | 2019 |
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach SK Das, P Roy, AK Mishra International Journal of Imaging Systems and Technology, 2021 | 31 | 2021 |
Machine Learning Based Automatic Prediction of Parkinson’s Disease Using Speech Features D Jain, AK Mishra, SK Das Proceedings of International Conference on Artificial Intelligence and …, 2020 | 28 | 2020 |
Deep learning techniques dealing with diabetes mellitus: a comprehensive study SK Das, P Roy, AK Mishra Health informatics: A computational perspective in healthcare, 295-323, 2021 | 20 | 2021 |
Binary Particle Swarm Optimization Based Feature Selection (BPSO-FS) for Improving Breast Cancer Prediction AK Mishra, P Roy, S Bandyopadhyay Proceedings of International Conference on Artificial Intelligence and …, 2020 | 20 | 2020 |
Genetic algorithm based selection of appropriate biomarkers for improved breast cancer prediction AK Mishra, P Roy, S Bandyopadhyay Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020 | 19 | 2020 |
Achieving highly efficient breast ultrasound tumor classification with deep convolutional neural networks AK Mishra, P Roy, S Bandyopadhyay, SK Das International Journal of information technology 14 (7), 3311-3320, 2022 | 18 | 2022 |
Fusion of handcrafted and deep convolutional neural network features for effective identification of diabetic foot ulcer SK Das, P Roy, AK Mishra Concurrency and Computation: Practice and Experience 34 (5), e6690, 2022 | 18 | 2022 |
Intelligent local search for test case minimization SK Mohapatra, AK Mishra, S Prasad Journal of The Institution of Engineers (India): Series B 101, 585-595, 2020 | 10 | 2020 |
CR‐SSL: A closely related self‐supervised learning based approach for improving breast ultrasound tumor segmentation AK Mishra, P Roy, S Bandyopadhyay, SK Das International Journal of Imaging Systems and Technology 32 (4), 1209-1220, 2022 | 7 | 2022 |
Oversample‐select‐tune: A machine learning pipeline for improving diabetes identification SK Das, P Roy, AK Mishra Concurrency and Computation: Practice and Experience 34 (5), e6741, 2022 | 7 | 2022 |
Feature fusion based machine learning pipeline to improve breast cancer prediction AK Mishra, P Roy, S Bandyopadhyay, SK Das Multimedia Tools and Applications 81 (26), 37627-37655, 2022 | 6 | 2022 |
Pinki Roy, and Sivaji Bandyopadhyay,“Identifying covid19 from chest ct images: A deep convolutional neural networks based approach,” AK Mishra, SK Das Journal of Healthcare Engineering 2020, 1-7, 2020 | 6 | 2020 |
Reliability Evaluation and Analysis of Multistage Interconnection Networks DK Panda, RK Dash, AK Mishra, SK Mohapatra International Journal of Pure and Applied Mathematics 119 (14), 1729-1737, 2018 | 5 | 2018 |
A multi‐task learning based approach for efficient breast cancer detection and classification AK Mishra, P Roy, S Bandyopadhyay, SK Das Expert Systems 39 (9), e13047, 2022 | 2 | 2022 |
Pre-trained efficientnet-b0 with adjusted optimizer, learning rate and image size to improve diabetic foot ulcers diagnosis SK Das, P Roy, AK Mishra Emerging Electronics and Automation: Select Proceedings of E2A 2021, 317-329, 2022 | 1 | 2022 |
Artificial Intelligence in Radiological COVID-19 Detection: A State-of-the-Art A Kumar, P Roy, AK Mishra, SK Das Big Data, Machine Learning, and Applications: Proceedings of the 2nd …, 2023 | | 2023 |