Not logged in Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning Guani, Haoyue; Da, Yuwei; Afyouni, Shadi; Kain, Alec; Hsu, Wen-Chi; Cheng, Jiashu; Yao, Sophie; Wang, Yuli; Wu, Jing; Pulakhandam, Rishitha; Zhao, Lin-Mei; Zhu, Chengzhang; Jiao, Zhicheng; Jones, Craig; Bai, Harrison Share Save
Share Save
Share Save
Artificial Intelligence-Driven Wireless Sensing for Health Management Toruner, Merih Deniz; Shi, Victoria; Sollee, John; Hsu, Wen-Chi; Yu, Guangdi; Dai, Yu-Wei; Merlo, Christian; Suresh, Karthik; Jiao, Zhicheng; Wang, Xuyu; Mao, Shiwen; Bai, Harrison Share Save
Neuroimaging Markers of Brain Reserve and Associations with Delirium in Patients with Intracerebral Hemorrhage Rex, Nathaniel B.; Chuck, Carlin C.; Dandapani, Hari G.; Zhou, Helen Y.; Yi, Thomas Y.; Collins, Scott A.; Bai, Harrison X.; Eloyan, Ani; Jones, Richard N.; Boxerman, Jerrold L.; Girard, Timothy D.; Boukrina, Olga; Reznik, Michael E. Share Save
Share Save
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data Zhong, Zhusi; Li, Jie; Kulkarni, Shreyas; Zhang, Helen; Fayad, Fayez H.; Li, Yang; Collins, Scott; Bai, Harrison; Ahn, Sun Ho; Atalay, Michael K.; Gao, Xinbo; Jiao, Zhicheng Share Save
Share Save
Share Save
Share Save
Share Save
Radiation hematologic toxicity prediction for locally advanced rectal cancer using dosimetric and radiomics features Yue, Haizhen; Geng, Jianhao; Gong, Liqing; Li, Yongheng; Windsor, Gabrielle; Liu, Jiacheng; Pu, Yichen; Du, Yi; Wang, Ruoxi; Wu, Hao; Jiao, Zhicheng; Bai, Harrison; Jing, Bin Share Save
Share Save
Share Save
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images Yue, Hailin; Liu, Jin; Li, Junjian; Kuang, Hulin; Lang, Jinyi; Cheng, Jianhong; Peng, Lin; Han, Yongtao; Bai, Harrison; Wang, Yuping; Wang, Qifeng; Wang, Jianxin Share Save
Share Save
Share Save
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data Kim, Chris K.; Choi, Ji Whae; Jiao, Zhicheng; Wang, Dongcui; Wu, Jing; Yi, Thomas Y.; Halsey, Kasey C.; Eweje, Feyisope; Tran, Thi My Linh; Liu, Chang; Wang, Robin; Sollee, John; Hsieh, Celina; Chang, Ken; Yang, Fang-Xue; Singh, Ritambhara; Ou, Jie-Lin; Huang, Raymond Y.; Feng, Cai; Feldman, Michael D.; Liu, Tao; Gong, Ji Sheng; Lu, Shaolei; Eickhoff, Carsten; Feng, Xue; Kamel, Ihab; Sebro, Ronnie; Atalay, Michael K.; Healey, Terrance; Fan, Yong; Liao, Wei-Hua; Wang, Jianxin; Bai, Harrison X. Share Save
Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors (Jun, noab151, 2021) Peng, Jian; Kim, Daniel D.; Patel, Jay B.; Zeng, Xiaowei; Huang, Jiaer; Chang, Ken; Xun, Xinping; Zhang, Chen; Sollee, John; Wu, Jing; Dalal, Deepa J.; Feng, Xue; Zhou, Hao; Zhu, Chengzhang; Zou, Beiji; Jin, Ke; Wen, Patrick Y.; Boxerman, Jerrold L.; Warren, Katherine E.; Poussaint, Tina Y.; States, Lisa J.; Kalpathy-Cramer, Jayashree; Yang, Li; Huang, Raymond Y.; Bai, Harrison X. Share Save
Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors Peng, Jian; Kim, Daniel D.; Patel, Jay B.; Zeng, Xiaowei; Huang, Jiaer; Chang, Ken; Xun, Xinping; Zhang, Chen; Sollee, John; Wu, Jing; Dalal, Deepa J.; Feng, Xue; Zhou, Hao; Zhu, Chengzhang; Zou, Beiji; Jin, Ke; Wen, Patrick Y.; Boxerman, Jerrold L.; Warren, Katherine E.; Poussaint, Tina Y.; States, Lisa J.; Kalpathy-Cramer, Jayashree; Yang, Li; Huang, Raymond Y.; Bai, Harrison X. Share Save
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Not logged in.png){kind=icon}
