Rakhmetulayeva S 1

1. ADVANCING REAL-TIME ECHOCARDIOGRAPHIC DIAGNOSIS WITH A HYBRID DEEP LEARNING MODEL
2. DESIGN AND IMPLEMENTATION OF DISK-BASED GRAPH FEATURE PREPROCESSOR FOR TERRORIST FINANCING DETECTION
3. COMPARISON EVALUATION OF UNET-BASED MODELS WITH NOISE AUGMENTATION FOR BREAST CANCER SEGMENTATION ON ULTRASOUND IMAGES
4. DEVELOPING A SYSTEM FOR DIAGNOSING DIABETES MELLITUS USING BIGDATA
5. DEVELOPMENT OF DATA-EFFICIENT TRAINING TECHNIQUES FOR DETECTION AND SEGMENTATION MODELS IN ATRIAL SEPTUM DEFECT ANALYSIS
6. Evaluation of Modern Generative Networks for EchoCG Image Generation
7. IDENTIFYING THE GRAPH-BASED TYPOLOGY FEATURES FOR MACHINE LEARNING MODELS IN FINANCIAL FRAUD DETECTION
8. IMPLEMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR PREDICTING GLAUCOMA FROM FUNDUS IMAGES
9. Analysis of machine learning methods for detection of cataracts
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