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  • LATEST MANUSCRIPTS IN Frontiers in Radiology
  • Zheng Li, Cheng Yan, Guo-Xiang Hu, Rui Zhao, Hang Jin, Hong Yun, Zheng Wei, Cui-Zhen Pan, Xian-Hong Shu, Meng-Su Zeng. Layer-specific strain in patients with cardiac amyloidosis using tissue tracking MR. Frontiers in radiology. 2023, 3: 1115527
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  • Amine Bouhamama, Benjamin Leporq, Khuram Faraz, Jean-Philippe Foy, Maxime Boussageon, Maurice Pérol, Sandra Ortiz-Cuaran, François Ghiringhelli, Pierre Saintigny, Olivier Beuf, Frank Pilleul. Radiomics combined with transcriptomics to predict response to immunotherapy from patients treated with PD-1/PD-L1 inhibitors for advanced NSCLC. Frontiers in radiology. 2023, 3: 1168448
    Cited : 1
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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: 1168901
    Cited : 1
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  • Aliasghar Mortazi, Vedat Cicek, Elif Keles, Ulas Bagci. Selecting the best optimizers for deep learning-based medical image segmentation. Frontiers in radiology. 2023, 3: 1175473
    Cited : 1
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  • Giovanni C Santoro, Siddhant Kulkarni, Diljot Dhillon, Kenny Lien. Case report: Basivertebral nerve block during vertebral augmentation: an alternative approach to intraprocedural pain management. Frontiers in radiology. 2023, 3: 1179023
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  • InChan Hwang, Hari Trivedi, Beatrice Brown-Mulry, Linglin Zhang, Vineela Nalla, Aimilia Gastounioti, Judy Gichoya, Laleh Seyyed-Kalantari, Imon Banerjee, MinJae Woo. Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography. Frontiers in radiology. 2023, 3: 1181190
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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: 1186277
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  • Patrick Tivnan, Artem Kaliaev, Stephan W Anderson, Christina A LeBedis, Baojun Li, V Carlota Andreu-Arasa. Utilization of a two-material decomposition from a single-source, dual-energy CT in acute traumatic vertebral fractures. Frontiers in radiology. 2023, 3: 1187449
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  • Lingdong Chen, Zhuo Yu, Jian Huang, Liqi Shu, Pekka Kuosmanen, Chen Shen, Xiaohui Ma, Jing Li, Chensheng Sun, Zheming Li, Ting Shu, Gang Yu. Development of lung segmentation method in x-ray images of children based on TransResUNet. Frontiers in radiology. 2023, 3: 1190745
    Cited : 3
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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: 1193046
    Cited : 2
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  • Yannick Suter, Michelle Notter, Raphael Meier, Tina Loosli, Philippe Schucht, Roland Wiest, Mauricio Reyes, Urspeter Knecht. Evaluating automated longitudinal tumor measurements for glioblastoma response assessment. Frontiers in radiology. 2023, 3: 1211859
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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: 1212382
    Cited : 3
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  • 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: 1214521
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  • 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: 1223294
    Cited : 1
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  • 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: 1223377
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