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Dr. Arnab Kumar Mishra
Dr. Arnab Kumar Mishra
Computer Vision and ML Researcher
在 gofynd.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1642020
Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach
AK Mishra, P Roy, S Bandyopadhyay, SK Das
Expert Systems, e12713, 2021
772021
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
532022
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
322019
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
312021
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
282020
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
202021
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
202020
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
192020
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
182022
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
182022
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
102020
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
72022
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
72022
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
62022
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
62020
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
52018
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
22022
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
12022
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
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