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Ona Wu
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2020 – today
- 2023
- [i2]Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu:
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion. CoRR abs/2301.13743 (2023) - 2022
- [j7]Wei-Long Zheng, Edilberto Amorim, Jin Jing, Ona Wu, Mohammad Ghassemi, Jong Woo Lee, Adithya Sivaraju, Trudy Pang, Susan T. Herman, Nicolas Gaspard, Barry J. Ruijter, Marleen C. Tjepkema-Cloostermans, Jeannette Hofmeijer, Michel J. A. M. van Putten, M. Brandon Westover:
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. IEEE Trans. Biomed. Eng. 69(5): 1813-1825 (2022) - 2020
- [j6]Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer:
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation. Medical Image Anal. 63: 101698 (2020)
2010 – 2019
- 2019
- [i1]Florian Dubost, Marleen de Bruijne, Marco Nardin, Adrian V. Dalca, Kathleen L. Donahue, Anne-Katrin Giese, Mark R. Etherton, Ona Wu, Marius de Groot, Wiro J. Niessen, Meike W. Vernooij, Natalia S. Rost, Markus D. Schirmer:
Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data. CoRR abs/1907.00695 (2019) - 2015
- [j5]Catherine Jean Chu, Naoaki Tanaka, J. Diaz, Brian L. Edlow, Ona Wu, Matti S. Hämäläinen, Steven M. Stufflebeam, Sydney S. Cash, Mark A. Kramer:
EEG functional connectivity is partially predicted by underlying white matter connectivity. NeuroImage 108: 23-33 (2015) - 2014
- [c2]Adrian Vasile Dalca, Ramesh Sridharan, Lisa Cloonan, Kaitlin M. Fitzpatrick, Allison Kanakis, Karen L. Furie, Jonathan Rosand, Ona Wu, Mert R. Sabuncu, Natalia S. Rost, Polina Golland:
Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. MICCAI (2) 2014: 773-780 - 2013
- [c1]Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland:
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. MBIA 2013: 18-30 - 2011
- [j4]Kenneth K. Kwong, Timothy G. Reese, Koen Nelissen, Ona Wu, Suk-Tak Chan, Thomas Benner, Joseph B. Mandeville, Mary Foley, Wim Vanduffel, David A. Chesler:
Early time points perfusion imaging. NeuroImage 54(2): 1070-1082 (2011) - [j3]Kenneth K. Kwong, Ona Wu, Suk-Tak Chan, Koen Nelissen, Mykhaylo Kholodov, David A. Chesler:
Early time points perfusion imaging: Relative time of arrival, maximum derivatives and fractional derivatives. NeuroImage 57(3): 979-990 (2011)
2000 – 2009
- 2007
- [j2]Jet P. van der Zijden, Ona Wu, Annette van der Toorn, Tom P. Roeling, Ronald L. A. W. Bleys, Rick M. Dijkhuizen:
Changes in neuronal connectivity after stroke in rats as studied by serial manganese-enhanced MRI. NeuroImage 34(4): 1650-1657 (2007) - 2005
- [j1]Christian Gottrup, Knud Thomsen, Peter Locht, Ona Wu, A. Gregory Sorensen, Walter J. Koroshetz, Leif Østergaard:
Applying instance-based techniques to prediction of final outcome in acute stroke. Artif. Intell. Medicine 33(3): 223-236 (2005) - 2002
- [b1]Ona Wu:
Predictive models of tissue outcome in acute human cerebral ischemia using diffusion and perfusion weighted MRI. Massachusetts Institute of Technology, Cambridge, MA, USA, 2002
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