Author

A. Sadremomtaz

2 papers indexed here

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Sep 2026

Evaluation of U-Net based architectures for synthetic CT generation from dual-contrast MRI

Deep learning–based MRI-to-CT synthesis supports MR-only radiotherapy and PET/MR attenuation correction, but comparisons of U-Net variants are confounded by differences in datasets, preprocessing, training protocols, and evaluation metrics. This study performed a controlled, tissue-aware, and complexity-aware compariso...

Sajede Mousavi, A. Sadremomtaz · Biomedical engineering and p... · 0 citations

Open access Sep 2026

3D SE-ResUNet for Accurate Dose Prediction in Head and Neck IMRT: a Structure-Specific Ensemble Approach.

Accurate three-dimensional dose prediction is important for automated treatment planning and radiotherapy in head and neck cancer. This study investigates an ensemble-based deep learning framework for dose prediction from computed tomography (CT) images and anatomical structures, with particular emphasis on structure-s...

M. Zadnorouzi, A. Sadremomtaz · Biomedical engineering and p... · 0 citations