Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Yingli Tian"'
Publikováno v:
Frontiers in Radiology, Vol 2 (2022)
Medical imaging data annotation is expensive and time-consuming. Supervised deep learning approaches may encounter overfitting if trained with limited medical data, and further affect the robustness of computer-aided diagnosis (CAD) on CT scans colle
Externí odkaz:
https://doaj.org/article/f6efb7cfd31e470d93b5310e2c435098
Publikováno v:
Bioengineering, Vol 10, Iss 1, p 116 (2023)
Early intervention in kidney cancer helps to improve survival rates. Abdominal computed tomography (CT) is often used to diagnose renal masses. In clinical practice, the manual segmentation and quantification of organs and tumors are expensive and ti
Externí odkaz:
https://doaj.org/article/0a135ae50c2344f5862d8567333be993
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:1638-1652
Text instance as one category of self-described objects provides valuable information for understanding and describing cluttered scenes. The rich and precise high-level semantics embodied in the text could drastically benefit the understanding of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e87d0c2ad156f61d5b9b9091a0d65eca
https://doi.org/10.1109/tpami.2020.3018491
https://doi.org/10.1109/tpami.2020.3018491
Autor:
Juan Manuel Górriz, Yudong Zhang, Ivan Tyukin, Xiang Yu, Shuihua Wang, M. Emre Celebi, Xujing Yao, Martínez-García Miguel, Yingli Tian, Qinghua Zhou, Siyuan Lu
Publikováno v:
Information Fusion. 76:376-421
Due to the proliferation of biomedical imaging modalities, such as Photoacoustic Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc., massive amounts of data are generated on a daily basis. While massive biomedical data sets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dddc94ddeb360537cde047c3879f9ae8
https://doi.org/10.1016/j.inffus.2021.07.001
https://doi.org/10.1016/j.inffus.2021.07.001
Publikováno v:
Computer Vision and Image Understanding. 229:103652
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f7edee1544b3e71a08f9c634de75ca4
https://doi.org/10.1016/j.cviu.2023.103652
https://doi.org/10.1016/j.cviu.2023.103652
Publikováno v:
IEEE Transactions on Image Processing. 29:225-236
Deep neural network-based semantic segmentation generally requires large-scale cost extensive annotations for training to obtain better performance. To avoid pixel-wise segmentation annotations that are needed for most methods, recently some research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a8392766c7e5f4e9f6181f2a72e0a4a
https://doi.org/10.1109/tip.2019.2926748
https://doi.org/10.1109/tip.2019.2926748
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198236
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3fbcbddd12deb9690d6224e41ecd275
https://doi.org/10.1007/978-3-031-19824-3_14
https://doi.org/10.1007/978-3-031-19824-3_14
Autor:
Haiyan Wang, Will Hutchcroft, Yuguang Li, Zhiqiang Wan, Ivaylo Boyadzhiev, Yingli Tian, Sing Bing Kang
In this paper, we propose a new deep learning-based method for estimating room layout given a pair of 360 panoramas. Our system, called Position-aware Stereo Merging Network or PSMNet, is an end-to-end joint layout-pose estimator. PSMNet consists of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04a0a9cf9a11fbcf187c2e26efe9f7c6
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::323fc21a346be1470384d1a5244c40d4
https://doi.org/10.2139/ssrn.4182158
https://doi.org/10.2139/ssrn.4182158
Autor:
Jingya Liu, Yingli Tian, Cihan Duzgol, Oguz Akin, A. Muhteşem Ağıldere, K. Murat Haberal, Mehmet Coşkun
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 100
Contrast agents are commonly used to highlight blood vessels, organs, and other structures in magnetic resonance imaging (MRI) and computed tomography (CT) scans. However, these agents may cause allergic reactions or nephrotoxicity, limiting their us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5741abd7ab8df53e12c4de4b82c7839d
https://pubmed.ncbi.nlm.nih.gov/35914340
https://pubmed.ncbi.nlm.nih.gov/35914340