LATEST MANUSCRIPTS IN Frontiers in Radiology
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- Chaowei Wu, Nan Wang, Srinivas Gaddam, Lixia Wang, Hui Han, Kyunghyun Sung, Anthony G Christodoulou, Yibin Xie, Stephen Pandol, Debiao Li. Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study. Frontiers in radiology. 2023, 3: 1168901Cited : 1Read More
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- Pedro V Staziaki, Muhammad M Qureshi, Aaron Maybury, Neha R Gangasani, Christina A LeBedis, Gustavo A Mercier, Stephan W Anderson. Hematocrit and lactate trends help predict outcomes in trauma independent of CT and other clinical parameters. Frontiers in radiology. 2023, 3: 1186277Cited : 1Read More
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- Francesca Lo Iacono, Riccardo Maragna, Gianluca Pontone, Valentina D A Corino. A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography. Frontiers in radiology. 2023, 3: 1193046Cited : 5Read More
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- Yan Yang, Huanhuan Wei, Fangfang Fu, Wei Wei, Yaping Wu, Yan Bai, Qing Li, Meiyun Wang. Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors. Frontiers in radiology. 2023, 3: 1212382Cited : 5Read More
- Yuta Yamamoto, Yuki Tanabe, Akira Kurata, Shuhei Yamamoto, Tomoyuki Kido, Teruyoshi Uetani, Shuntaro Ikeda, Shota Nakano, Osamu Yamaguchi, Teruhito Kido. Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging. Frontiers in radiology. 2023, 3: 1214521Cited : 0Read More
- Harrison C Gottlich, Panagiotis Korfiatis, Adriana V Gregory, Timothy L Kline. AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows. Frontiers in radiology. 2023, 3: 1223294Cited : 1Read More
- Haoran Sun, Lixia Wang, Timothy Daskivich, Shihan Qiu, Fei Han, Alessandro D'Agnolo, Rola Saouaf, Anthony G Christodoulou, Hyung Kim, Debiao Li, Yibin Xie. Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning. Frontiers in radiology. 2023, 3: 1223377Cited : 1Read More
