Browsing byAuthorBarua, PD

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Showing results 1 to 10 of 10
Issue DateTitleAuthor(s)
-Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021)Loh, HW; Hong, W; Ooi, CP; Chakraborty, S; Barua, PD; Deo, RC; Soar, J; Palmer, EE; Acharya, UR
2021-10-22Automated COVID-19 and Heart Failure Detection Using DNA Pattern Technique with Cough Sounds.Kobat, MA; Kivrak, T; Barua, PD; Tuncer, T; Dogan, S; Tan, R-S; Ciaccio, EJ; Acharya, UR
-GaborPDNet: Gabor Transformation and Deep Neural Network for Parkinson’s Disease Detection Using EEG SignalsLoh, HW; Ooi, CP; Palmer, E; Barua, PD; Dogan, S; Tuncer, T; Baygin, M; Acharya, UR
2021-10-11Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis.Mayya, V; Kamath Shevgoor, S; Kulkarni, U; Hazarika, M; Barua, PD; Acharya, UR
2021-12-08Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images.Barua, PD; Chan, WY; Dogan, S; Baygin, M; Tuncer, T; Ciaccio, EJ; Islam, N; Cheong, KH; Shahid, ZS; Acharya, UR
2021-09-06Novel automated PD detection system using aspirin pattern with EEG signalsBarua, PD; Dogan, S; Tuncer, T; Baygin, M; Acharya, UR
2021-11PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognitionDogan, A; Akay, M; Barua, PD; Baygin, M; Dogan, S; Tuncer, T; Dogru, AH; Acharya, UR
2021-10-01PrismatoidPatNet54: An Accurate ECG Signal Classification Model Using Prismatoid Pattern-Based Learning ArchitectureKobat, MA; Karaca, O; Barua, PD; Dogan, S
2021-09-23Recent Trends in Artificial Intelligence-Assisted Coronary Atherosclerotic Plaque CharacterizationGudigar, A; Nayak, S; Samanth, J; Raghavendra, U; Ashwal, AJ; Barua, PD; Hasan, N; Ciaccio, EJ; Tan, R-S; Acharya, UR
2021-12-01Role of Artificial Intelligence in COVID-19 DetectionGudigar, A; Raghavendra, U; Nayak, S; Ooi, CP; Chan, WY; Gangavarapu, MR; Dharmik, C; Samanth, J; Kadri, NA; Hasikin, K; Barua, PD; Chakraborty, S; Ciaccio, EJ; Acharya, UR