Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Aaron Kujawa"'
Autor:
Aaron Kujawa, Reuben Dorent, Steve Connor, Suki Thomson, Marina Ivory, Ali Vahedi, Emily Guilhem, Navodini Wijethilake, Robert Bradford, Neil Kitchen, Sotirios Bisdas, Sebastien Ourselin, Tom Vercauteren, Jonathan Shapey
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
Automatic segmentation of vestibular schwannoma (VS) from routine clinical MRI has potential to improve clinical workflow, facilitate treatment decisions, and assist patient management. Previous work demonstrated reliable automatic segmentation perfo
Externí odkaz:
https://doaj.org/article/f77e73766f0643909899cebe9feba06c
Autor:
Jonathan Shapey, Aaron Kujawa, Reuben Dorent, Guotai Wang, Alexis Dimitriadis, Diana Grishchuk, Ian Paddick, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Sotirios Bisdas, Sébastien Ourselin, Tom Vercauteren
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-6 (2021)
Measurement(s) Vestibular Schwannoma Technology Type(s) Magnetic Resonance Imaging • image segmentation Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare
Externí odkaz:
https://doaj.org/article/9f4ad5d13d854dd8aee3a31c6c9f6ba6
Autor:
Aaron Kujawa, Reuben Dorent, Steve Connor, Anna Oviedova, Mohamed Okasha, Diana Grishchuk, Sebastien Ourselin, Ian Paddick, Neil Kitchen, Tom Vercauteren, Jonathan Shapey
Publikováno v:
Frontiers in Radiology, Vol 2 (2022)
ObjectiveThe Koos grading scale is a frequently used classification system for vestibular schwannoma (VS) that accounts for extrameatal tumor dimension and compression of the brain stem. We propose an artificial intelligence (AI) pipeline to fully au
Externí odkaz:
https://doaj.org/article/cb4aa03360e24d7bbd96cf344699d4cb
Autor:
Neil D. Kitchen, Jonathan Shapey, Tom Vercauteren, Ian Paddick, Shakeel R. Saeed, Alexis Dimitriadis, Guotai Wang, Diana Grishchuk, Sotirios Bisdas, Robert L. Bradford, Reuben Dorent, Aaron Kujawa, Sebastien Ourselin
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-6 (2021)
Scientific Data
Scientific Data
Automatic segmentation of vestibular schwannomas (VS) from magnetic resonance imaging (MRI) could significantly improve clinical workflow and assist patient management. We have previously developed a novel artificial intelligence framework based on a
Autor:
Aaron Kujawa, Reuben Dorent, Steve Connor, Suki Thomson, Marina Ivory, Ali Vahedi, Emily Guilhem, Robert Bradford, Neil Kitchen, Sotirios Bisdas, Sebastien Ourselin, Tom Vercauteren, Jonathan Shapey
ObjectiveAutomatic segmentation of vestibular schwannoma (VS) from routine clinical MRI can improve clinical workflow, facilitate treatment decisions, and assist patient management. Previously, excellent automatic segmentation results were achieved o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e735e7daa0be34946a1279da15a13eff
https://doi.org/10.1101/2022.08.01.22278193
https://doi.org/10.1101/2022.08.01.22278193
Autor:
Reuben Dorent, Aaron Kujawa, Stefan Cornelissen, Langenhuizen, P. P. J. H., Jonathan Shapey, Tom Vercauteren
Publikováno v:
ISSUE=15;TITLE=15th International Stereotactic Radiosurgery Society Congress, ISRS 2022
Pure TUe
Pure TUe
Introduction: Fully automated artificial intelligence (AI) frameworks have recently reached outstanding performance for automatic segmentation of vestibular schwannomas (VS) from MRI. However, they often generalize poorly when the training data is ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9caef6b07c2805c8fde3a93e88cf1947
https://research.tue.nl/nl/publications/4a96bb2c-4c41-4f25-adff-952a104c4e4c
https://research.tue.nl/nl/publications/4a96bb2c-4c41-4f25-adff-952a104c4e4c
Autor:
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeon Gyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
Publikováno v:
Medical Image Analysis. 83:102628
Domain Adaptation (DA) has recently raised strong interests in the medical imaging community. While a large variety of DA techniques has been proposed for image segmentation, most of these techniques have been validated either on private datasets or
Publikováno v:
Progress in Nuclear Magnetic Resonance Spectroscopy. :25-71
Within the field of NMR spectroscopy, the study of chemical exchange processes through saturation transfer techniques has a long history. In the context of MRI, chemical exchange techniques have been adapted to increase the sensitivity of imaging to
Autor:
Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031178986
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af1972d2ea1ddb62d81a3275bfd96765
https://doi.org/10.1007/978-3-031-17899-3_8
https://doi.org/10.1007/978-3-031-17899-3_8
Autor:
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sebastien Ourselin, Tom Vercauteren
Data and pre-trained models from InExtremIS: Dorent, et al: ""Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation". MICCAI (2021) Description of the data: full_annotations.zip:Manual segmentationsperformed in consensus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48bd610b46382e7c45eea38b34f90bd0