Unified brain MR-ultrasound synthesis using multi-modal hierarchical representations
We introduce MHVAE, a deep hierarchical variational auto-encoder (VAE) that synthesizes
missing images from various modalities. Extending multi-modal VAEs with a hierarchical …
missing images from various modalities. Extending multi-modal VAEs with a hierarchical …
IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI
Y Xie, F Zaccagna, L Rundo, C Testa, R Zhu, C Tonon… - Diagnostics, 2024 - mdpi.com
Deep learning (DL) networks have shown attractive performance in medical image
processing tasks such as brain tumor classification. However, they are often criticized as …
processing tasks such as brain tumor classification. However, they are often criticized as …
Open access segmentations of intraoperative brain tumor ultrasound images
B Behboodi, F Carton, M Chabanas… - Medical …, 2024 - Wiley Online Library
Purpose Registration and segmentation of magnetic resonance (MR) and ultrasound (US)
images could play an essential role in surgical planning and resectioning brain tumors …
images could play an essential role in surgical planning and resectioning brain tumors …
Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
Intraoperative ultrasound (iUS) imaging has the potential to improve surgical outcomes in
brain surgery. However, its interpretation is challenging, even for expert neurosurgeons. In …
brain surgery. However, its interpretation is challenging, even for expert neurosurgeons. In …