Quantifying the Growth of Glioblastoma Tumors Using Multimodal MRI Brain Images

por Das, Anisha, Ding, Shengxian, Liu, Rongjie, Huang, Chao
Publicado 2023

Imaging Genetic Based Mediation Analysis for Human Cognition

por Chen, Tingan, Mandal, Abhishek, Zhu, Hongtu, Liu, Rongjie
Publicado 2022

Editorial: Modern Statistical Learning Strategies in Imaging Genetics

por Huang, Chao, Liu, Rongjie, Zhao, Bingxin, Kong, Linglong
Publicado 2022

State feedback control design for Boolean networks

por Liu, Rongjie, Qian, Chunjiang, Liu, Shuqian, Jin, Yu-Fang
Publicado 2016

Out-of-Band Response for the Coastal Zone Imager (CZI) Onboard China’s Ocean Color Satellite HY-1C: Effect on the Observation Just above the Sea Surface

por Cui, Tingwei, Ding, Jing, Jia, Fujuan, Mu, Bing, Liu, Rongjie, Xu, Pengmei, Liu, Jianqiang, Zhang, Jie
Publicado 2018

Stability analysis of CT radiomic features with respect to segmentation variation in oropharyngeal cancer

por Liu, Rongjie, Elhalawani, Hesham, Radwan Mohamed, Abdallah Sherif, Elgohari, Baher, Court, Laurence, Zhu, Hongtu, Fuller, Clifton David
Publicado 2019

Radiomic analysis in prediction of Human Papilloma Virus status

por Yu, Kaixian, Zhang, Youyi, Yu, Yang, Huang, Chao, Liu, Rongjie, Li, Tengfei, Yang, Liuqing, Morris, Jeffrey S., Baladandayuthapani, Veerabhadran, Zhu, Hongtu
Publicado 2017

A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography

por Wang, Jian, Liu, Rongjie, Zhao, Yu, Nantavithya, Chonnipa, Elhalawani, Hesham, Zhu, Hongtu, Mohamed, Abdallah Sherif Radwan, Fuller, Clifton David, Kannarunimit, Danita, Yang, Pei, Zhu, Hong
Publicado 2020

Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration

por Wang, Zeya, Cao, Shaolong, Morris, Jeffrey S., Ahn, Jaeil, Liu, Rongjie, Tyekucheva, Svitlana, Gao, Fan, Li, Bo, Lu, Wei, Tang, Ximing, Wistuba, Ignacio I., Bowden, Michaela, Mucci, Lorelei, Loda, Massimo, Parmigiani, Giovanni, Holmes, Chris C., Wang, Wenyi
Publicado 2018

Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges

por Elhalawani, Hesham, Lin, Timothy A., Volpe, Stefania, Mohamed, Abdallah S. R., White, Aubrey L., Zafereo, James, Wong, Andrew J., Berends, Joel E., AboHashem, Shady, Williams, Bowman, Aymard, Jeremy M., Kanwar, Aasheesh, Perni, Subha, Rock, Crosby D., Cooksey, Luke, Campbell, Shauna, Yang, Pei, Nguyen, Khahn, Ger, Rachel B., Cardenas, Carlos E., Fave, Xenia J., Sansone, Carlo, Piantadosi, Gabriele, Marrone, Stefano, Liu, Rongjie, Huang, Chao, Yu, Kaixian, Li, Tengfei, Yu, Yang, Zhang, Youyi, Zhu, Hongtu, Morris, Jeffrey S., Baladandayuthapani, Veerabhadran, Shumway, John W., Ghosh, Alakonanda, Pöhlmann, Andrei, Phoulady, Hady A., Goyal, Vibhas, Canahuate, Guadalupe, Marai, G. Elisabeta, Vock, David, Lai, Stephen Y., Mackin, Dennis S., Court, Laurence E., Freymann, John, Farahani, Keyvan, Kaplathy-Cramer, Jayashree, Fuller, Clifton D.
Publicado 2018