Sarah E. Divel

发表

Simulation of contrast agent dynamics in digital brain phantom for CT perfusion optimization

Norbert J. Pelc, Sarah E. Divel, Soren Christensen, 2020 .

Method for decreasing CT simulation time of complex phantoms and systems through separation of material specific projection data

Norbert J. Pelc, Max Wintermark, Soren Christensen, 2017, Medical Imaging.

Development of a realistic, dynamic digital brain phantom for CT perfusion validation

Norbert J. Pelc, Max Wintermark, Soren Christensen, 2016, SPIE Medical Imaging.

Image-domain insertion of spatially correlated, locally varying noise in CT images

Norbert J. Pelc, Sarah E. Divel, 2019, Medical Imaging.

Can image-domain filtering of FBP CT reconstructions match low-contrast performance of iterative reconstructions?

Jia Wang, Norbert J. Pelc, Scott S. Hsieh, 2018, Medical Imaging.

Virtual clinical trial for task-based evaluation of a deep learning synthetic mammography algorithm

Rongping Zeng, Kenny H. Cha, Aldo Badano, 2019, Medical Imaging.

CNN-based CT denoising with an accurate image domain noise insertion technique

Byeongjoon Kim, Norbert J. Pelc, Jongduk Baek, 2021 .

A dynamic simulation framework for CT perfusion in stroke assessment built from first principles.

W. Paul Segars, Sarah E. Divel, N. Pelc, 2021, Medical physics.

A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique

Sarah E. Divel, N. Pelc, J. Baek, 2022, IEEE Access.