Published Works
Papers
2021
In Review: Pair Production Tomography ImagingQihui Lyu, Ryan Neph, Ke Sheng
DeepMC: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in Magnetic Resonance-Guided Radiotherapy
Ryan Neph, Qihui Lyu, Yangsibo Huang, Youming Yang, Ke Sheng
Physics and Biology in Medicine, January 2021
ROAD: ROtational direct Aperture optimization with a Decoupled ring-collimator for FLASH radiotherapy
Qihui Lyu, Ryan Neph, Daniel O'Connor, Dan Ruan, Salime Boucher, Ke Sheng
Physics in Medicine and Biology, January 2021
2020
Accelerating Radiation Dose Calculation with High Performance Computing and Machine Learning for Large-scale Radiotherapy Treatment PlanningRyan Neph
PhD Thesis (UCLA - Physics and Biology in Medicine), June 2020
Many-isocenter Optimization for Robotic Radiotherapy
Qihui Lyu, Ryan Neph, Victoria Yu, Dan Ruan, Salime Boucher, Ke Sheng
Physics in Medicine and Biology, 65(4), February 2020
2019
Robust individual Thermoluminescence dosimeter tracking using optical fingerprintingDaili Shang, Wenbo Gu, Angelia Landers, Kaley Woods, Victoria Yu, Ryan Neph, Stephen Tenn, Ke Sheng
Medical Physics, 47(1), November 2019
DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy
Ryan Neph, Yangsibo Huang, Youming Yang, Ke Sheng
Lecture Notes in Computer Science: 2019 MICCAI Workshop on AI in Radiation Therapy (AIRT) (link), October 2019
A Sparse Orthogonal Collimator for Small Animal Intensity Modulated Radiation Therapy, Part II: Hardware Development and Commissioning
Kaley Woods, Ryan Neph, Dan Nguyen, Ke Sheng
Medical Physics, 46(12), October 2019
A Sparse Orthogonal Collimator for Small Animal Intensity Modulated Radiation Therapy, Part I: Planning System Development and Commissioning
Kaley Woods, Dan Nguyen, Ryan Neph, Dan Ruan, Daniel O'Connor, Ke Sheng
Medical Physics, 46(12), October 2019
Parallel Beamlet Dose Calculation via Beamlet Contexts in a Distributed Multi-GPU Framework
Ryan Neph, Cheng Ouyang, John Neylon, Youming Yang, Ke Sheng
Medical Physics, 46(8), June 2019
Robust Beam Orientation Optimization for Intensity-Modulated Proton Therapy
Wenbo Gu, Ryan Neph, Dan Ruan, Wei Zou, Lei Dong, Ke Sheng
Medical Physics - Editor's Choice, May 2019
Iterative reconstruction for low-dose ct using Plug-and-Play alternating direction method of multipliers (ADMM) framework
Qihui Lyu, Dan Ruan, John Hoffman, Ryan Neph, Michael McNitt-Gray, Ke Sheng
SPIE Medical Imaging Conference Proceedings, 10949 (2019), March 2019
Single-Arc VMAT Optimization for Dual-Layer MLC
Qihui Lyu, Ryan Neph, Victoria Y Yu, Dan Ruan, Ke Sheng
Physics in Medicine and Biology, 64 (9), May 2019
2018
Performance Comparison of Knowledge-Based Dose Prediction Techniques Based on Limited Patient DataAngelia Landers, Ryan Neph, Fabien Scalzo, Dan Ruan, Ke Sheng
Technology in Cancer Research & Treatment, 17 (10), October 2018
A novel optimization framework for VMAT with dynamic gantry couch rotation
Qihui Lyu, Victoria Y Yu, Dan Ruan, Ryan Neph, Daniel O'Connor, Ke Sheng
Physics in Medicine and Biology, 63 (12), June 2018
Conference Abstracts
2019
Deep Learning MC: Fast CNN-Based Prediction of Monte Carlo Dose for MR-Guided Treatment PlanningRyan Neph, Yangsibo Huang, Youming Yang, Ke Sheng
Accepted Abstract, AAPM Annual Meeting; San Antonio, Texas 2019, July 2019
Robust Beam Orientation Optimization for Intensity-Modulated Proton Therapy
Wenbo Gu, Ryan Neph, Dan Ruan, Wei Zou, Lei Dong, Ke Sheng
Accepted Abstract, AAPM Annual Meeting; San Antonio, Texas 2019, July 2019
A Global-Sampling Optimization Framework for Single-Arc VMAT Using Dual Layer MLC
Qihui Lyu, Ryan Neph, Victoria Yu, Dan Ruan, Ke Sheng
Accepted Abstract, AAPM Annual Meeting; San Antonio, Texas 2019, July 2019
A Flexible Iterative Reconstruction Framework for Low Dose CT
Qihui Lyu, Dan Ruan, John Hoffman, Ryan Neph, Michael McNitt-Gray, Ke Sheng
Accepted Abstract, AAPM Annual Meeting; San Antonio, Texas 2019, July 2019
Commissioning and Testing of the Sparse Orthogonal Collimator for Small Animal IMRT
Kaley Woods, Ryan Neph, Dan Nguyen, Daniel O'Connor, Ke Sheng
Accepted Abstract, AAPM Annual Meeting; San Antonio, Texas 2019, July 2019
Feasibility of Soft Robot Assisted 4pi Supine Breast Radiotherapy
Daili Shang, Qihui Lyu, Ryan Neph, Wenbo Gu, Ke Sheng
Accepted Abstract, AAPM Annual Meeting; San Antonio, Texas 2019, July 2019
2018
A Sparse Orthogonal Collimator for Small Animal IMRT Using Rectangular Aperture OptimizationKaley Woods, Dan Nguyen, Ryan Neph, Daniel O'Connor, Ke Sheng
International Journal of Radiation Oncology - Biology, Physics, 102 (3), S152-153, November 2018
Robust Individual TLD Tracking Using Optical Finger Printing Technology
Daili Shang, Wenbo Gu, Angelia Landers, Kaley Woods, Ryan Neph, Stephen Tenn, Ke Sheng
Medical Physics 45 (6), E233-233, June 2018
Efficient Multi-GPU Calculation of Local Radiomic Features From 2D and 3D Images
Ryan Neph, Ke Sheng
Medical Physics 45 (6), E233-233, June 2018
Distributed Multi-GPU Photon Beamlet Dose Calculation for Efficient Radiation Treatment Planning
Ryan Neph, Cheng Ouyang, John Neylon, Ke Sheng
Medical Physics 45 (6), E697-698, June 2018
4piVMAT for Efficient Delivery of Highly Conformal Non-Coplanar Plans
Qihui Lyu, Victoria Yu, Daniel O'Connor, Ryan Neph, Dan Ruan, Ke Sheng
Medical Physics 45 (6), E665-E665, June 2018
Sparse Orthogonal Collimator with Rectangular Aperture Optimization for Small Animal IMRT
Kaley Woods, Dan Nguyen, Ryan Neph, Daniel O'Connor, S. Boucher, Ke Sheng
Medical Physics 45 (6), E559-E560, June 2018
Performance Comparison of Knowledge-Based Dose Prediction Techniques
Angelia Landers, Ryan Neph, Fabian Scalzo, Dan Ruan, Ke Sheng
Medical Physics 45 (6), E628-E628, June 2018
2017
Predicting Risk in NSCLC Patients Using Learned Tumor Sub-Region Appearance From Quantitative Features in CT ImagesRyan Neph, Ke Sheng
Medical Physics 44 (6), 3289-3289, June 2017