SCI Abstract

search
Towards improved prescription metrics in novel radiotherapy techniques: a machine learning study
To ensure we keep this website safe, please can you confirm you are a human by ticking the box below. ...
Impact of manufacturing tolerances on Monte Carlo calculated k Q ...
To ensure we keep this website safe, please can you confirm you are a human by ticking the box below. ...
Sensitivity of a deep-learning-based breast cancer risk prediction model
To ensure we keep this website safe, please can you confirm you are a human by ticking the box below. ...
On energy dependency, spectral properties, and orientation dependency of EBT3, EBT-XD, MD-V3, and HD-V2 radiochromic films
On energy dependency, spectral properties, and orientation dependency of EBT3, EBT-XD, MD-V3, and HD-V2 radiochromic films...
Biaxial ultrasound driving technique for small animal blood–brain barrier opening
Biaxial driving can more efficiently convert electrical power to forward acoustic power in piezoelectric mate...
Dual-branch hybrid encoding embedded network for histopathology image classification
1 Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241, Peo...
Method for comparison of data driven gating algorithms in emission tomography
Objective. Multiple algorithms have been proposed for data driven gating (DDG) in single photon emission comp...
A discrete ordinates Boltzmann solver for application to inverse planning of photons and protons
In the last decade, the value of the discrete ordinates method of solving the linear Boltzmann transport equations (LBTEs)...
FSE-Net: feature selection and enhancement network for mammogram classification
Objective. Early detection and diagnosis allow for intervention and treatment at an early stage of breast can...