Convolutional Neural Networks With Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Nicolae Verga (IEEE Access, 2020)

Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks. - Mihail Burduja; Radu Tudor Ionescu; Nicolae Verga (Sensors, 2020)

CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation. - Nicolae-Catalin Ristea; Andreea-Iuliana Miron; Olivian Savencu; Mariana-Iuliana Georgescu; Nicolae Verga; Fahad Shahbaz Khan; Radu Tudor Ionescu (CoRR, 2021)

A new version of Hyper-Fractal Analysis: .Net WPF module for RGB 3D reconstruction of medical three-channel images. - Ioan Valeriu Grossu; M. Opritescu; Olivian Savencu; Andreea-Iuliana Miron; M. Verga; Nicolae Verga (Comput. Phys. Commun., 2022)

Medical module for Hyper-Fractal Analysis. - Ioan Valeriu Grossu; Olivian Savencu; Andreea-Iuliana Miron; Calin Besliu; Nicolae Verga (Comput. Phys. Commun., 2022)

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. - Mariana-Iuliana Georgescu; Radu Tudor Ionescu; Andreea-Iuliana Miron; Olivian Savencu; Nicolae-Catalin Ristea; Nicolae Verga; Fahad Shahbaz Khan (WACV, 2023)

CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation. - Nicolae-Catalin Ristea; Andreea-Iuliana Miron; Olivian Savencu; Mariana-Iuliana Georgescu; Nicolae Verga; Fahad Shahbaz Khan; Radu Tudor Ionescu (Neurocomputing, 2023)