Zobrazeno 1 - 10
of 226
pro vyhledávání: '"KNIGHT, CAROLINE"'
Autor:
Curtis, Carey, Olaru, Doina, Smith, Brett, Reed, Tristan W., Knight, Caroline, Biermann, Sharon
Publikováno v:
In Travel Behaviour and Society April 2025 39
Autor:
Parker, Sharon K.1 s.parker@curtin.edu.au, Knight, Caroline2
Publikováno v:
Human Resource Management. Mar2024, Vol. 63 Issue 2, p265-291. 27p.
Autor:
Wang, Shuangyi, Housden, James, Noh, Yohan, Singh, Davinder, Singh, Anisha, Skelton, Emily, Matthew, Jacqueline, Tan, Cornelius, Back, Junghwan, Lindenroth, Lukas, Gomez, Alberto, Toussaint, Nicolas, Zimmer, Veronika, Knight, Caroline, Fletcher, Tara, Lloyd, David, Simpson, John, Pasupathy, Dharmintra, Liu, Hongbin, Althoefer, Kaspar, Hajnal, Joseph, Razavi, Reza, Rhode, Kawal
The development of robotic-assisted extracorporeal ultrasound systems has a long history and a number of projects have been proposed since the 1990s focusing on different technical aspects. These aim to resolve the deficiencies of on-site manual mani
Externí odkaz:
http://arxiv.org/abs/1902.05458
Akademický článek
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Autor:
Li, Yuanwei, Khanal, Bishesh, Hou, Benjamin, Alansary, Amir, Cerrolaza, Juan J., Sinclair, Matthew, Matthew, Jacqueline, Gupta, Chandni, Knight, Caroline, Kainz, Bernhard, Rueckert, Daniel
Publikováno v:
LNCS 11070 (2018) 392-400
Standard scan plane detection in fetal brain ultrasound (US) forms a crucial step in the assessment of fetal development. In clinical settings, this is done by manually manoeuvring a 2D probe to the desired scan plane. With the advent of 3D US, the e
Externí odkaz:
http://arxiv.org/abs/1806.07486
Autor:
Li, Yuanwei, Alansary, Amir, Cerrolaza, Juan J., Khanal, Bishesh, Sinclair, Matthew, Matthew, Jacqueline, Gupta, Chandni, Knight, Caroline, Kainz, Bernhard, Rueckert, Daniel
Publikováno v:
LNCS 11070 (2018) 563-571
We propose a new Patch-based Iterative Network (PIN) for fast and accurate landmark localisation in 3D medical volumes. PIN utilises a Convolutional Neural Network (CNN) to learn the spatial relationship between an image patch and anatomical landmark
Externí odkaz:
http://arxiv.org/abs/1806.06987
Autor:
Sinclair, Matthew, Baumgartner, Christian F., Matthew, Jacqueline, Bai, Wenjia, Martinez, Juan Cerrolaza, Li, Yuanwei, Smith, Sandra, Knight, Caroline L., Kainz, Bernhard, Hajnal, Jo, King, Andrew P., Rueckert, Daniel
Measurement of head biometrics from fetal ultrasonography images is of key importance in monitoring the healthy development of fetuses. However, the accurate measurement of relevant anatomical structures is subject to large inter-observer variability
Externí odkaz:
http://arxiv.org/abs/1804.09102
Autor:
Schlemper, Jo, Oktay, Ozan, Chen, Liang, Matthew, Jacqueline, Knight, Caroline, Kainz, Bernhard, Glocker, Ben, Rueckert, Daniel
In this work, we apply an attention-gated network to real-time automated scan plane detection for fetal ultrasound screening. Scan plane detection in fetal ultrasound is a challenging problem due the poor image quality resulting in low interpretabili
Externí odkaz:
http://arxiv.org/abs/1804.05338
Publikováno v:
Diagnostics (2075-4418); Oct2024, Vol. 14 Issue 19, p2182, 10p