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eess.IV2024★ 9 cited
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation
Ziya Ata Yazıcı, İlkay Öksüz, Hazım Kemal Ekenel
Glioblastoma is a highly aggressive and malignant brain tumor type that requires early diagnosis and prompt intervention. Due to its heterogeneity in appearance, developing automat…
eess.IV2020
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
Mohammad Saeed Rad, Thomas Yu, Claudiu Musat +3
Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsamplin…