Pengembangan Algoritma deteksi Covid-19 Berbasis Deep Learning pada Citra X-Ray dengan arsitektur ResNet152v2 = Development of COVID-19 detection Algorithm based on Deep Learning in X-RAY Images Using ResNet 152v2 architecture

Deteksi COVID-19 dan Tingkat Keparahannya dari Citra X-ray Dada Menggunakan Model Transfer Learning Convolutional Neural Network Xception dan EfficientNetB3 = Detection of COVID-19 and the Severity Level from Chest X-Ray Image Using Transfer Learning Convolutional Neural Network Xception and EfficientNetB3 Model

Pengembangan Model Deteksi dan Segmentasi Berbasis U-Net untuk Lokalisasi Kelainan Paru Indikator TB pada Citra Rontgen Thorax = Development of U-Net Based Detection and Segmentation Models for Localization of Lung Abnormalities TB Indicators on Thorax X-Ray Images

Implementasi Image Fusion untuk Meningkatkan Kualitas Rekonstruksi Citra CT X-Ray Dual Energi pada Objek Heterogen dengan Menggunakan Kerangka Kerja Deep Learning = Implementation of Image Fusion to Improve the Quality of Dual Energy CT X-Ray Image Reconstruction on Heterogeneous Objects Using a Deep Learning Framework

Pengembangan Model Klasifikasi Multicenter berbasis CNN untuk Deteksi COVID-19 pada Citra X-Ray Rongga Dada = Development of a CNN-based Multicenter Classification Model for COVID-19 Detection on Chest X-Ray Images