Early Stage Flame Segmentation with Deep Learning and Intel's OpenVINO Toolkit. - Medina Kapo; Adnan Sabanovic; Amila Akagic; Emir Buza (ICAT, 2023)

Early Stage Flame Segmentation with DeepLabv3+ and Weighted Cross-Entropy. - Adnan Sabanovic; Negra Ahmetspahic; Medina Kapo; Emir Buza; Amila Akagic (ICAT, 2023)

Exploring the Impact of Real and Synthetic Data in Image Classification: A Comprehensive Investigation Using CIFAKE Dataset. - Amila Akagic; Emir Buza; Medina Kapo; Mahdi Bohlouli (CoDIT, 2024)

Semantic Segmentation of Brain Tumors: A Performance Evaluation Using DeepLabV3+, UNet, and Intel's OpenVINO Toolkit. - Medina Kapo; Amila Akagic; Emir Buza (CoDIT, 2024)

Comparative Analysis of CNN Performance in Keras, PyTorch and JAX on PathMNIST. - Anida Nezovic; Jalal Romano; Nada Maric; Medina Kapo; Amila Akagic (CoRR, 2025)

Improving Diagnostic Accuracy of Pigmented Skin Lesions With CNNs: an Application on the DermaMNIST Dataset. - Nerma Kadric; Amila Akagic; Medina Kapo (CoRR, 2025)

Performance comparison of medical image classification systems using TensorFlow Keras, PyTorch, and JAX. - Merjem Becirovic; Amina Kurtovic; Nordin Smajlovic; Medina Kapo; Amila Akagic (CoRR, 2025)