most citedHybridization of Attention UNet with Repeated Atrous Spatial Pyramid Pooling for Improved Brain Tumour Segmentation

2 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

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…

eess.IV2025★ 2 cited

Hybridization of Attention UNet with Repeated Atrous Spatial Pyramid Pooling for Improved Brain Tumour Segmentation

Satyaki Roy Chowdhury, Golrokh Mirzaei

Brain tumors are highly heterogeneous in terms of their spatial and scaling characteristics, making tumor segmentation in medical images a difficult task that might result in wrong…