Работы, цитирующие эту работу

Работ: 4

Работа: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

1. Calculating Singular Integrals with Cauchy Kernels in Digital Processing of Gastroenterological Medical Signals

   Latif Xuramov, Shahnoza Xafizova, Muhammad Mustaffaqulov

   СтатьяImage and Signal Denoising Methods2025Цитирований: 14

   ABIABI:AkademIndex/openalex/2025.article.000206

2. High-resolution segmentation of brain tumors based on MRI images using a hybrid deep learning approach

   Furkat Bolikulov, Kudratjon Zohirov, Latif Xuramov +3

   СтатьяBrain Tumor Detection and ClassificationBiomedical Signal Processing and Control2026Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.article.000442

3. Attention-enhanced bidirectional LSTM for multivariate ECG arrhythmia classification: a deep learning approach with clinical validation

   Nadira Tashtemirova

   СтатьяECG Monitoring and AnalysisJournal of Artificial Intelligence Machine Learning and Neural Network2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.019177

4. The Use of AI in Cardiovascular Care – A Review

   Narendra Kumar, Michał Gruszczyński

   СтатьяArtificial Intelligence in Healthcare and EducationPremier Journal of Cardiology2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004240