Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Zhong, Xinran"'
Autor:
Balagopal, Anjali, Dohopolski, Michael, Kwon, Young Suk, Montalvo, Steven, Morgan, Howard, Bai, Ti, Nguyen, Dan, Liang, Xiao, Zhong, Xinran, Lin, Mu-Han, Desai, Neil, Jiang, Steve
Background and purpose: Radiation-induced erectile dysfunction (RiED) is commonly seen in prostate cancer patients. Clinical trials have been developed in multiple institutions to investigate whether dose-sparing to the internal-pudendal-arteries (IP
Externí odkaz:
http://arxiv.org/abs/2302.01493
Autor:
Rahman, Mahbubur, Iqbal, Zohaib, Parsons, David, Salazar, Denise, Visak, Justin, Zhong, Xinran, Wang, Siqiu, Stanley, Dennis, Godley, Andrew, Cai, Bin, Sher, David, Lin, Mu-Han
Publikováno v:
In Advances in Radiation Oncology November 2024 9(11)
Autor:
Dohopolski, Michael, Visak, Justin, Choi, Byongsu, Meng, Boyu, Parsons, David, Zhong, Xinran, Inam, Enobong, Avkshtol, Vladimir, Moon, Dominic, Sher, David, Lin, Mu-Han
Publikováno v:
In Radiotherapy and Oncology August 2024 197
Autor:
Mashayekhi, Maryam, Tapia, Itzel Ramirez, Balagopal, Anjali, Zhong, Xinran, Barkousaraie, Azar Sadeghnejad, McBeth, Rafe, Lin, Mu-Han, Jiang, Steve, Nguyen, Dan
Typically, the current dose prediction models are limited to small amounts of data and require re-training for a specific site, often leading to suboptimal performance. We propose a site-agnostic, 3D dose distribution prediction model using deep lear
Externí odkaz:
http://arxiv.org/abs/2106.07825
Autor:
Balagopal, Anjali, Dohopolski, Michael, Suk Kwon, Young, Montalvo, Steven, Morgan, Howard, Bai, Ti, Nguyen, Dan, Liang, Xiao, Zhong, Xinran, Lin, Mu-Han, Desai, Neil, Jiang, Steve
Publikováno v:
In Physics and Imaging in Radiation Oncology April 2024 30
Autor:
Yen, Allen, Zhong, Xinran, Lin, Mu-Han, Nwachukwu, Chika, Albuquerque, Kevin, Hrycushko, Brian
Publikováno v:
In Practical Radiation Oncology March-April 2024 14(2):e159-e164
Autor:
Wang, Ethan, Yen, Allen, Hrycushko, Brian, Wang, Siqiu, Lin, Jingyin, Zhong, Xinran, Dohopolski, Michael, Nwachukwu, Chika, Iqbal, Zohaib, Albuquerque, Kevin
Publikováno v:
In Physics and Imaging in Radiation Oncology January 2024 29
Autor:
All, Sean, Zhong, Xinran, Choi, Byongsu, Kim, Jin Sung, Zhuang, Tingliang, Avkshtol, Vladimir, Sher, David, Lin, Mu-Han, Moon, Dominic H.
Publikováno v:
In Advances in Radiation Oncology January 2024 9(1)
Autor:
Fu, Jie, Singhrao, Kamal, Zhong, Xinran, Gao, Yu, Qi, Sharon, Yang, Yingli, Ruan, Dan, Lewis, John H
Publikováno v:
Advances in Radiation Oncology, 2021
We proposed a fully automatic workflow for glioblastoma (GBM) survival prediction using deep learning (DL) methods. 285 glioma (210 GBM, 75 low-grade glioma) patients were included. 163 of the GBM patients had overall survival (OS) data. Every patien
Externí odkaz:
http://arxiv.org/abs/2001.11155
Autor:
Liu, Yongkai, Yang, Guang, Mirak, Sohrab Afshari, Hosseiny, Melina, Azadikhah, Afshin, Zhong, Xinran, Reiter, Robert E., Lee, Yeejin, Raman, Steven, Sung, Kyunghyun
Our main objective is to develop a novel deep learning-based algorithm for automatic segmentation of prostate zone and to evaluate the proposed algorithm on an additional independent testing data in comparison with inter-reader consistency between tw
Externí odkaz:
http://arxiv.org/abs/1911.00127