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Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images.

M. Baygin, O. Yaman, P. Barua, S. Dogan, T. Tuncer, и U. Acharya. Artif. Intell. Medicine, (2022)

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Mehmet Çiçek

Mehmet Ezelsoy

Mehmet Kandil

Mehmet Kara

Mehmet Evecek

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An automated earthquake classification model based on a new butterfly pattern using seismic signals.S. Ozkaya, M. Baygin, P. Barua, T. Tuncer, S. Dogan, S. Chakraborty, и U. Acharya. Expert Syst. Appl., 238 (Part E): 122079 (марта 2024)Automated accurate fire detection system using ensemble pretrained residual network.S. Dogan, P. Barua, H. Kutlu, M. Baygin, H. Fujita, T. Tuncer, и U. Acharya. Expert Syst. Appl., (2022)Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10, 000 individual subject ECG records.M. Baygin, T. Tuncer, S. Dogan, R. Tan, и U. Acharya. Inf. Sci., (2021)PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI.E. Kaplan, W. Chan, H. Altinsoy, M. Baygin, P. Barua, S. Chakraborty, S. Dogan, T. Tuncer, и U. Acharya. J. Digit. Imaging, 36 (6): 2441-2460 (декабря 2023)An accurate automated schizophrenia detection using TQWT and statistical moment based feature extraction.M. Baygin. Biomed. Signal Process. Control., (2021)InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images.B. Tasci, M. Acharya, M. Baygin, S. Dogan, T. Tuncer, и S. Belhaouari. Int. J. Appl. Earth Obs. Geoinformation, (сентября 2023)PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition.A. Dogan, M. Akay, P. Barua, M. Baygin, S. Dogan, T. Tuncer, A. Dogru, и U. Acharya. Comput. Biol. Medicine, (2021)Novel automated PD detection system using aspirin pattern with EEG signals.P. Barua, S. Dogan, T. Tuncer, M. Baygin, и U. Acharya. Comput. Biol. Medicine, (2021)EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT Images.T. Kivrak, J. Nayak, M. Gelen, P. Barua, M. Baygin, H. Pamukcu, S. Dogan, T. Tuncer, и U. Acharya. IEEE Access, (2023)Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system.S. Tatli, G. Macin, I. Tasci, B. Tasci, P. Barua, M. Baygin, T. Tuncer, S. Dogan, E. Ciaccio, и U. Acharya. Expert Syst. Appl., (февраля 2024)

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