Xiaojun Sun

Automated patient‐specific optimization of three‐dimensional double‐inversion recovery magnetic resonance imaging

Amol S Pednekar, Refaat E Gabr, Xiaojun Sun, 2016, Magnetic resonance in medicine.

The Design of Blended Learning Model Based on Cloud Classroom

Xiaojun Sun, Caifeng Zhu, Qi Wei, 2017, 2017 International Symposium on Educational Technology (ISET).

Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study

Refaat E Gabr, Xiaojun Sun, Ponnada A Narayana, 2020, Multiple sclerosis.

Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning.

Refaat E Gabr, Xiaojun Sun, Ponnada A Narayana, 2020, Magnetic resonance imaging.

Multimodal MRI Segmentation of Brain Tissue and T2-Hyperintense White Matter Lesions in Multiple Sclerosis using Deep Convolutional Neural Networks and a Large Multi-center Image Database

Melvin Robinson, Refaat E. Gabr, Ponnada A. Narayana, 2018, 2018 9th Cairo International Biomedical Engineering Conference (CIBEC).

Dose calculation with respiration-averaged CT processed from cine CT without a respiratory surrogate.

Tinsu Pan, Xiaojun Sun, T. Pan, 2008, Medical physics.

Thoracic target volume delineation using various maximum-intensity projection computed tomography image sets for radiotherapy treatment planning.

George Starkschall, Tinsu Pan, Peter Balter, 2010, Medical Physics (Lancaster).