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Dr. Sujit Kumar Das
Dr. Sujit Kumar Das
Assistant Professor, ITER, Siksha 'O' Anusandhan
Verified email at cse.nits.ac.in - Homepage
Title
Cited by
Cited by
Year
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, 2020
1622020
Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach
AK Mishra, P Roy, S Bandyopadhyay, SK Das
Expert Systems, e12713, 2021
752021
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
502022
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
192021
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
172022
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
162022
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, e6741, 2021
72021
Diabetic foot ulcer identification: a review
SK Das, P Roy, P Singh, M Diwakar, V Singh, A Maurya, S Kumar, ...
Diagnostics 13 (12), 1998, 2023
62023
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
AESPNet: Attention enhanced stacked parallel network to improve automatic diabetic foot ulcer identification
SK Das, S Namasudra, A Kumar, NR Moparthi
Image and Vision Computing 138, 104809, 2023
52023
SE_SPnet: Rice leaf disease prediction using stacked parallel convolutional neural network with squeeze‐and‐excitation
P Bhuyan, PK Singh, SK Das, A Kalla
Expert Systems, e13304, 2023
52023
Entity Recognition in Bengali language
SK Das, S Dhar
2015 International Symposium on Advanced Computing and Communication (ISACC …, 2015
32015
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
A Critical Survey of Mathematical Search Engines
S Dhar, S Roy, SK Das
Computational Intelligence, Communications, and Business Analytics: Second …, 2019
22019
HCNNet: hybrid convolution neural network for automatic identification of ischaemia in diabetic foot ulcer wounds
SK Das, S Namasudra, AK Sangaiah
Multimedia Systems 30 (1), 36, 2024
12024
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
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