Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Yixing Huang"'
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Osteosarcoma (OS) is the most common bone malignant tumor in children, and its prognosis is often poor. Anoikis is a unique mode of cell death.However, the effects of Anoikis in OS remain unexplored. Method Differential analysis o
Externí odkaz:
https://doaj.org/article/8767dc76da4a4ad9bb12de07e4d5d227
Autor:
Xiao Li, Yixing Huang, Dan Zu, Haidong Liu, Hanyi He, Qimei Bao, Yanhua He, Chen Liang, Guoyan Luo, Yaoshu Teng, Yin Shi, Zu Ye, Xiangdong Cheng
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 287, Iss , Pp 117284- (2024)
The increasing environmental presence of nanoplastics (NPs) has raised concerns about their potential impact on biological systems. We investigated the repercussions of polymethyl methacrylate (PMMA) NPs exposure on normal gastric epithelial cells an
Externí odkaz:
https://doaj.org/article/f94a922b3a004de8a9daed375fe62f00
Autor:
Chang Liu, Laura Klein, Yixing Huang, Edith Baader, Michael Lell, Marc Kachelrieß, Andreas Maier
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract To facilitate a prospective estimation of the effective dose of an CT scan prior to the actual scanning in order to use sophisticated patient risk minimizing methods, a prospective spatial dose estimation and the known anatomical structures
Externí odkaz:
https://doaj.org/article/e76a7cb3296f4a318f1eb2324adbb029
Publikováno v:
IEEE Access, Vol 12, Pp 101210-101227 (2024)
Due to data privacy constraints, data sharing among multiple clinical centers is restricted, which impedes the development of high performance deep learning models from multicenter collaboration. Naive weight transfer methods share intermediate model
Externí odkaz:
https://doaj.org/article/e727d9ef852046f68dd7dc6396291f03
Autor:
Yixing Huang, Ahmed Gomaa, Sabine Semrau, Marlen Haderlein, Sebastian Lettmaier, Thomas Weissmann, Johanna Grigo, Hassen Ben Tkhayat, Benjamin Frey, Udo Gaipl, Luitpold Distel, Andreas Maier, Rainer Fietkau, Christoph Bert, Florian Putz
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
PurposeThe potential of large language models in medicine for education and decision-making purposes has been demonstrated as they have achieved decent scores on medical exams such as the United States Medical Licensing Exam (USMLE) and the MedQA exa
Externí odkaz:
https://doaj.org/article/8687ab256d584ad782853d71a787129e
Autor:
Balaka Dutta, Konstantin Root, Ingrid Ullmann, Fabian Wagner, Martin Mayr, Mathias Seuret, Mareike Thies, Daniel Stromer, Vincent Christlein, Jan Schür, Andreas Maier, Yixing Huang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be o
Externí odkaz:
https://doaj.org/article/96de7ce983b74b0f9ac1be755ef06162
Autor:
Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas Maier
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality. Recently, deep learning (DL)-based methods were introduced, outperforming conventional
Externí odkaz:
https://doaj.org/article/833a88eaac4745fdbb3084d4cfa806eb
Autor:
Thomas Weissmann, Yixing Huang, Stefan Fischer, Johannes Roesch, Sina Mansoorian, Horacio Ayala Gaona, Antoniu-Oreste Gostian, Markus Hecht, Sebastian Lettmaier, Lisa Deloch, Benjamin Frey, Udo S. Gaipl, Luitpold Valentin Distel, Andreas Maier, Heinrich Iro, Sabine Semrau, Christoph Bert, Rainer Fietkau, Florian Putz
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundDeep learning-based head and neck lymph node level (HN_LNL) autodelineation is of high relevance to radiotherapy research and clinical treatment planning but still underinvestigated in academic literature. In particular, there is no publicl
Externí odkaz:
https://doaj.org/article/ecf0fff9154e4c479b418e89d7637fc6
Publikováno v:
Materials, Vol 15, Iss 14, p 4983 (2022)
The development of microwave absorbing technology raises the demands for all-band absorption. The topological structures expand the frequency range of electromagnetic wave absorption and eliminate the differences caused by scattering in different inc
Externí odkaz:
https://doaj.org/article/e77cce7bf7ed42f3aa30d27348b48157
Autor:
Kedi Zhou, Yichen Ding, Ivan Vuletic, Yonglu Tian, Jun Li, Jinghao Liu, Yixing Huang, Hongfang Sun, Changhui Li, Qiushi Ren, Yanye Lu
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-15 (2018)
Abstract Background Optical imaging is one of the most common, low-cost imaging tools used for investigating the tumor biological behavior in vivo. This study explores the feasibility and sensitivity of a near infrared fluorescent protein mKate2 for
Externí odkaz:
https://doaj.org/article/160b4c178f1f4e92a7fa2d647415e62e