A tumor inpainting framework for MRI using automated masks based on channel-specific conditions across the volume

FPL-net: A deep learning framework for solving the nonlinear Fokker-Planck-Landau collision operator for anisotropic temperature relaxation

Two-stage deep learning framework for occlusal crown depth image generation

Generation of Deep Learning Based Virtual Non-contrast CT Using Dual-layer Dual-Energy CT and its Application to Planning CT for Radiotherapy

Resolution-dependent MRI-to-CT translation for orthotopic breast cancer models using deep learning

Dual-encoder architecture for metal artifact reduction for kV-cone-beam CT images in head and neck cancer radiotherapy

Extraction and evaluation of features of preterm patent ductus arteriosus in chest X-ray images using deep learning

CT synthesis with deep learning for MR-only radiotherapy planning: a review

Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network

Deep learning-based label-free hematology analysis framework using optical diffraction tomography