Jeffrey V. Siebers

According to our database, Jeffrey V. Siebers authored at least 3 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.

Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor Gabriel Leandro Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E. Cardenas S., Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan

CoRR, 2022

2021

DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy.

Mumtaz Hussain Soomro, Victor Gabriel Leandro Alves, Hamidreza Nourzadeh, Jeffrey V. Siebers

CoRR, 2021

2007

Quantitative Evaluation of Deformable Image Registration.

Hualiang Zhong, Jeffrey V. Siebers

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007