Effective deep-learning brain MRI super resolution using simulated training data

Autor: Ayaz, Aymen, Boonstoppel, Rien, Lorenz, Cristian, Weese, Juergen, Pluim, Josien, Breeuwer, Marcel

Publikováno v: In Computers in Biology and Medicine December 2024 183

Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation

Autor: Khalil, Yasmina Al, Ayaz, Aymen, Lorenz, Cristian, Weese, Jürgen, Pluim, Josien, Breeuwer, Marcel

Publikováno v: In Computerized Medical Imaging and Graphics March 2024 112

A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data

Autor: Al Khalil, Yasmina, Ayaz, Aymen, Lorenz, Cristian, Weese, Jürgen, Pluim, Josien, Breeuwer, Marcel, Nguyen, Hien V., Huang, Sharon X., Xue, Yuan

Publikováno v: Data Augmentation, Labelling, and Imperfections: Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings, 92-101
STARTPAGE=92;ENDPAGE=101;TITLE=Data Augmentation, Labelling, and Imperfections
Lecture Notes in Computer Science ISBN: 9783031170263

Gliomas are one of the most widespread and aggressive forms of brain tumors. Accurate brain tumor segmentation is crucial for evaluation, monitoring and treatment of gliomas. Recent advances in deep learning methods have made a significant step towar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cdae4a41b127b1016874a3f83ccb410
https://research.tue.nl/nl/publications/2be057f9-4798-4cf6-ac2c-06016b3d2157