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cs.CV2026
Variance-Penalized MC-Dropout as a Learned Smoothing Prior for Brain Tumour Segmentation
Satyaki Roy Chowdhury, Golrokh Mirzaei
Brain tumor segmentation is essential for diagnosis and treatment planning, yet many CNN and U-Net based approaches produce noisy boundaries in regions of tumor infiltration. We in…
cs.CV2025★ 2 cited
Timepoint-Specific Benchmarking of Deep Learning Models for Glioblastoma Follow-Up MRI
Wenhao Guo, Golrokh Mirzaei
Differentiating true tumor progression (TP) from treatment-related pseudoprogression (PsP) in glioblastoma remains challenging, especially at early follow-up. We present the first…