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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.

D. Robben, A. Boers, H. Marquering, L. Langezaal, Y. Roos, R. van Oostenbrugge, W. van Zwam, D. Dippel, C. Majoie, A. van der Lugt, R. Lemmens, and P. Suetens. Medical Image Anal., (2020)

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Cornelis Theunis van der Lugt

Erich der Lugt

Hans Lugt

Imad Aad

Jan Bernd Lugtenburg

Other publications of authors with the same name

Prediction of Dementia by Hippocampal Shape Analysis.H. Achterberg, F. van der Lijn, T. den Heijer, A. van der Lugt, M. Breteler, W. Niessen, and M. de Bruijne. MLMI, volume 6357 of Lecture Notes in Computer Science, page 42-49. Springer, (2010)Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy.R. Su, M. van der Sluijs, S. Cornelissen, G. Lycklama, J. Hofmeijer, C. Majoie, P. van Doormaal, A. van Es, D. Ruijters, W. Niessen and 2 other author(s). Medical Image Anal., (2022)Automated measurement of local white matter lesion volume.F. van der Lijn, B. Verhaaren, M. Ikram, S. Klein, M. de Bruijne, H. Vrooman, M. Vernooij, A. Hammers, D. Rueckert, A. van der Lugt and 2 other author(s). NeuroImage, 59 (4): 3901-3908 (2012)Multispectral MRI centerline tracking in carotid arteries.H. Tang, T. van Walsum, R. van Onkelen, S. Klein, R. Hameeteman, M. Schaap, Q. van den Bouwhuijsen, J. Witteman, A. van der Lugt, L. van Vliet and 1 other author(s). Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79621N. SPIE, (2011)VAMPIRE: Improved Method for Automated Center Lumen Line Definition in Atherosclerotic Carotid Arteries in CTA Data.H. van Andel, E. Meijering, A. van der Lugt, H. Vrooman, and R. Stokking. MICCAI (1), volume 3216 of Lecture Notes in Computer Science, page 525-532. Springer, (2004)Semi-automatic MRI segmentation and volume quantification of intra-plaque hemorrhage.H. Tang, M. Selwaness, R. Hameeteman, A. van Dijk, A. van der Lugt, J. Witteman, W. Niessen, L. van Vliet, and T. van Walsum. Int. J. Comput. Assist. Radiol. Surg., 10 (1): 67-74 (2015)Automated image registration of cerebral digital subtraction angiography.V. Hellebrekers, T. van Walsum, I. Smal, S. Cornelissen, W. van Zwam, A. van der Lugt, M. van der Sluijs, and R. Su. Int. J. Comput. Assist. Radiol. Surg., 19 (1): 147-150 (January 2024)A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation.R. Camarasa, D. Bos, J. Hendrikse, P. Nederkoorn, M. Kooi, A. van der Lugt, and M. de Bruijne. CoRR, (2021)Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation.R. Camarasa, D. Bos, J. Hendrikse, P. Nederkoorn, M. Kooi, A. van der Lugt, and M. de Bruijne. UNSURE/GRAIL@MICCAI, volume 12443 of Lecture Notes in Computer Science, page 32-41. Springer, (2020)Quantitative Collateral Grading on CT Angiography in Patients with Acute Ischemic Stroke.A. Boers, R. Barros, I. Jansen, C. Slump, D. Dippel, A. van der Lugt, W. van Zwam, Y. Roos, R. van Oostenbrugge, C. Majoie and 1 other author(s). CMMI/RAMBO/SWITCH@MICCAI, volume 10555 of Lecture Notes in Computer Science, page 176-184. Springer, (2017)

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Disambiguation of "van der Lugt, Aad"

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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.

Please choose a person to relate this publication to

Cornelis Theunis van der Lugt

Erich der Lugt

Hans Lugt

Imad Aad

Jan Bernd Lugtenburg

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "van der Lugt, Aad"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.

Please choose a person to relate this publication to

Cornelis Theunis van der Lugt

Erich der Lugt

Hans Lugt

Imad Aad

Jan Bernd Lugtenburg

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.