WebOct 10, 2024 · Objectives: To evaluate deep neural networks for automatic rib fracture detection on thoracic CT scans and to compare its performance with that of attending … WebThis "Cited by" count includes citations to the following articles in Scholar. The ones marked * may be different from the article in the profile. Add co-authors Co-authors. Follow. ... Dijia Wu Google Verified email at google.com. Volker Tresp Ludwig Maximilian University of Munich / München (LMU) ...
Large-scale screening to distinguish between COVID-19 and ... - PubMed
WebMichal Sofka 1 , Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, S Kevin Zhou. Affiliation 1 Image Analytics and Informatics, Siemens Corporate Research, Princeton, NJ, USA. PMID: 22003696 DOI: 10.1007/978-3-642-23626-6_21 Abstract We propose an automatic algorithm for phase labeling that relies on the intensity changes ... WebLiked by Di Wu. Experience Research Associate Texas A&M University Jan 2024 - Jun 2024 1 year 6 months. College Station, Texas, United States ... inconsistent fiber optic tests
Dijia Wu - R&D Vice President - United Imaging Healthcare
WebXX citations; Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. Caiwen Jiang; Zhiming Cui; Dongming Wei; Yuhang Sun; Jiameng Liu; Jie Wei; Qun Chen; Dijia Wu; ... Dijia Wu; Dinggang Shen; Published on 21 Sep 2024. 0 views XX downloads; XX citations ... Web20 rows · Google - Cited by 1,955 - Machine Learning - Computer Vision - Medical Image Analysis ... Alibaba DAMO Academy USA, IEEE Fellow, MICCAI Board Member, IEEE … Professor, USTC, FAIMBE, FIAMBE, FIEEE, FMICCAI, FNAI - Cited by … WebJun 29, 2024 · Purpose: Liver imaging reporting and data system (LI-RADS) classification, especially the identification of LR-3 to 5 lesions with hepatocellular carcinoma (HCC) probability, is of great significance to treatment strategy determination. We aimed to develop a semi-automatic LI-RADS grading system on multiphase gadoxetic acid-enhanced MRI … inconsistent flooring