64 citations · 299 across the 12 of their papers we have counts for
12 papers
A Feasibility Study on Deep Learning Based Individualized 3D Dose Distribution Prediction
Jianhui Ma, Dan Nguyen, Ti Bai +5
Purpose: Radiation therapy treatment planning is a trial-and-error, often time-consuming process. An optimal dose distribution based on a specific anatomy can be predicted by pre-t…
The ABC130 barrel module prototyping programme for the ATLAS strip tracker
Luise Poley, Craig Sawyer, Sagar Addepalli +246
For the Phase-II Upgrade of the ATLAS Detector, its Inner Detector, consisting of silicon pixel, silicon strip and transition radiation sub-detectors, will be replaced with an all…
Boosting radiotherapy dose calculation accuracy with deep learning
Yixun Xing, Ph. D., You Zhang +5
In radiotherapy, a trade-off exists between computational workload/speed and dose calculation accuracy. Calculation methods like pencil-beam convolution can be much faster than Mon…
Robustness study of noisy annotation in deep learning based medical image segmentation
Shaode Yu, Erlei Zhang, Junjie Wu +6
Partly due to the use of exhaustive-annotated data, deep networks have achieved impressive performance on medical image segmentation. Medical imaging data paired with noisy annotat…
A Feasibility Study on Deep Learning-Based Radiotherapy Dose Calculation
Yixun Xing, Dan Nguyen, Weiguo Lu +2
Purpose: Various dose calculation algorithms are available for radiation therapy for cancer patients. However, these algorithms are faced with the tradeoff between efficiency and a…
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks
Erlei Zhang, Zi Yang, Stephen Seiler +3
Breast ultrasound (US) is an effective imaging modality for breast cancer detec-tion and diagnosis. The structural characteristics of breast lesion play an im-portant role in Compu…