research
∙
04/18/2023
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Extent of resection after surgery is one of the main prognostic factors ...
share
research
∙
11/28/2022
Train smarter, not harder: learning deep abdominal CT registration on scarce data
Purpose: This study aims to explore training strategies to improve convo...
research
∙
12/07/2021
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images
Histopathological cancer diagnostics has become more complex, and the in...
research
∙
02/11/2021
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
As lung cancer evolves, the presence of enlarged and potentially maligna...
research
∙
01/19/2021
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms
Meningiomas are the most common type of primary brain tumor, accounting ...
research
∙
10/14/2020