1. Smu-net: Style matching u-net for brain tumor segmentation with missing modalities;Azad,2022
2. Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features;Bakas;Scientific Data,2017
3. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge;Bakas,2018
4. Cross-modality synthesis from ct to pet using fcn and gan networks for improved automated lesion detection;Ben-Cohen;Engineering Applications of Artificial Intelligence,2019
5. 3D u-net: learning dense volumetric segmentation from sparse annotation;Çiçek,2016