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Author

Dina Koishiyeva

ORCID: 0009-0008-1204-797X
Observed ORCID: 0009-0008-1204-797X
OpenAlex ID: A5093239457
Comparison evaluation of unet-based models with noise augmentation for breast cancer segmentation on ultrasound image
2023 · Assel Mukasheva, Dina Koishiyeva, et al. · Eastern-European Journal of Enterprise Technologies · 20
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Modification of U-Net with Pre-Trained ResNet-50 and Atrous Block for Polyp Segmentation: Model TASPP-UNet
2024 · Assel Mukasheva, Dina Koishiyeva, et al. · International Conference on Electronics, Engineering Physics and Earth Science (EEPES) · 18
Automatic cancer nuclei segmentation on histological images: comparison study of deep learning methods
2024 · Maratbek T. Gabdullin, Assel Mukasheva, et al. · Biotechnology and Bioprocess Engineering · 18
A Review of Deep Learning Approaches Based on Segment Anything Model for Medical Image Segmentation
2025 · Dina Koishiyeva, Dinargul Mukhammejanova, et al. · Bioengineering · 10
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Classification of Skin Lesions using PyQt5 and Deep Learning Methods
2024 · Dina Koishiyeva, Alibek Bissembayev, et al. · International Conference on Communications, Information, Electronic and Energy Systems (CIEES) · 7
Comparative Analysis of the Predictive Risk Assessment Modeling Technique Using Artificial Intelligence
2025 · Anel Tolkynbekova, Dina Koishiyeva, et al. · Journal of Electrical Engineering and Technology · 6
Analysis of Loss Functions for Colorectal Polyp Segmentation Under Class Imbalance
2025 · Dina Koishiyeva, Jeong Won Kang, et al. · International Conference on Electronics, Engineering Physics and Earth Science (EEPES) · 5
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Predicting Specific Anomaly Results using Machine Learning Algorithms
2025 · Assel Mukasheva, Dina Koishiyeva, et al. · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · 3
Vision Transformer for Multiclass Animal Image Recognition
2025 · Assel Mukasheva, Dina Koishiyeva, et al. · International Conference on Communications, Information, Electronic and Energy Systems (CIEES) · 2
Performance Analysis of Convolutional Architectures for Image Pattern Recognition
2025 · Assel Mukasheva, Dina Koishiyeva, et al. · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · 2
Neural network solutions for artificial intelligence based on the new MIU-Net model for segmentation of the lung images in the diagnosis and treatment of lung diseases
2025 · Gulnaz Nabiyeva, Aliya Kalizhanova, et al. · International Journal of Innovative Research and Scientific Studies · 2
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Smart Financial Decision-Making System
2025 · Assel Mukasheva, Almas Saduakas, et al. · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · 1
Acoustic Fault Diagnosis of Industrial Pumps Using Interpretable Deep Learning and SHAP Analysis
2025 · Dina Koishiyeva, Madina Sydybayeva, et al. · Journal of Electrical Engineering and Technology · 1
Comprehensive Evaluation of L2 Regularization in UNet-ResNet50 and UNet-VGG16 Models with Diverse Image Transformations
2025 · Dina Koishiyeva, Kuanysh Alipbayev, et al. · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) · 1
Optimisation of Glaucoma Detection in Fundus Imaging Using Particle Swarm Optimization, Artificial Bee Colony, and Binary Cuckoo Search
2025 · Dina Koishiyeva, Kuanysh Alipbayev, et al. · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) · 1
Spectral Analysis of EEG Signals for Parkinson’s Disease Classification Using Bi-LSTM
2025 · Dina Koishiyeva, Jeong Won Kang, et al. · IEEE International Conference on Smart Information Systems and Technologies (SIST) · 1
Multi-Level Visual Feature Analysis for Automatic Cattle Breed Classification in Smart Livestock Systems
2026 · Assel Mukasheva, Dina Koishiyeva, et al. · Journal of Electrical Engineering and Technology
Predicting Livestock Activity Patterns with Machine Learning
2026 · Dina Koishiyeva, Assel Mukasheva, et al. · IEEE International Conference on Smart Information Systems and Technologies (SIST)
Quantifying Model Uncertainty in Fine-Grained Image Classification for Veterinary Training Applications
2026 · Dina Koishiyeva, Anel Aidos, et al. · International Conference on Information and Education Technology (ICIET)
An AI-Based Digital Platform for Sustainable Livestock Lifecycle Management
2026 · Dinargul Mukhammejanova, Anel Aidos, et al. · International Conference on Information and Education Technology (ICIET)
A Comparative Study of Time-Series Models Used in Artificial Intelligence Forecasting Approaches
2026 · Almas Saduakas, Assel Mukasheva, et al. · The Transactions of The Korean Institute of Electrical Engineers
Resilience of UNet-Based Models Under Adversarial Conditions in Medical Image Segmentation
2025 · Dina Koishiyeva, Jeong Won Kang, et al. · International Conference on Electronics, Engineering Physics and Earth Science (EEPES)
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Deep Learning with Multi-Head Attention for Respiratory Sound Analysis
2025 · Dina Koishiyeva, Jeong Won Kang, et al. · IEEE International Conference on Smart Information Systems and Technologies (SIST)
Cell nuclei image segmentation using U-Net and DeepLabV3+ with transfer learning and regularization
2024 · Dina Koishiyeva, Madina Sydybayeva, et al. · Indonesian Journal of Electrical Engineering and Computer Science
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Analysis of Tuberculosis Segmentation on Chest X-rays Using the Method of Convolutional Neural Network “attention”
2024 · Dina Koishiyeva, Zhadra Kozhamkulova, et al. · Вестник Алматинского университета энергетики и связи
Works count: 25
Citation count: 98
H-index: 6
I10-index: 4
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