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ArticlesPeer ReviewedFull Text
Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI
Author / Creator:Kai Roman Laukamp ; Thiele, Frank ; Shakirin, Georgy ; Zopfs, David ; Faymonville, Andrea ; Timmer, Marco ; Maintz, David ; Perkuhn, Michael ; Borggrefe, Jan
Publisher:Heidelberg: Springer Nature B.V
Journal title:European radiology, 2019-01, Vol.29 (1), p.124-132
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ArticlesPeer ReviewedFull Text
Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning
Author / Creator:Rahil, Shahzad ; Lenhard, Pennig ; Goertz Lukas ; Thiele, Frank ; Kabbasch Christoph ; Schlamann Marc ; Krischek Boris ; Maintz, David ; Perkuhn, Michael ; Borggrefe, Jan
Publisher:London: Nature Publishing Group
Journal title:Scientific reports, 2020-12, Vol.10 (1)
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ArticlesPeer ReviewedFull Text
Comparison of Accuracy of Arrival-Time-Insensitive and Arrival-Time-Sensitive CTP Algorithms for Prediction of Infarct Tissue Volumes
Author / Creator:Lenhard, Pennig ; Thiele, Frank ; Goertz Lukas ; Laukamp, Kai Roman ; Perkuhn, Michael ; Kabbasch Christoph ; Schlamann Marc ; Fink, Gereon Rudolf ; Borggrefe, Jan
Publisher:London: Nature Publishing Group
Journal title:Scientific reports, 2020-06, Vol.10 (1)
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ArticlesPeer ReviewedFull Text
Automated Meningioma Segmentation in Multiparametric MRI
Author / Creator:Laukamp, Kai Roman ; Pennig, Lenhard ; Thiele, Frank ; Reimer, Robert ; Görtz, Lukas ; Shakirin, Georgy ; Zopfs, David
Publisher:Heidelberg: Springer
Journal title:Clinical neuroradiology (Munich), 2021-06, Vol.31 (2), p.357-366
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ArticlesPeer ReviewedFull Text
Monitoring of gadolinium uptake within the vessel wall during magnetic resonance (MR) guided angioplasty of the peripheral arteries with a paclitaxel/gadolinium coated balloon: an experimental study a...
Author / Creator:Neizel, Mirja ; Perkuhn, Michael ; Balzer, Jan ; Buhl, Alexandra ; Rübben, Alexander ; Weiss, Norbert ; Kelm, Malte ; Krombach, Gabriele A
Publisher:New York: BioMed Central
Journal title:Journal of cardiovascular magnetic resonance, 2011-02, Vol.13 (S1), p.O58-O58, Article O58
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ArticlesPeer ReviewedFull Text
Automated Meningioma Segmentation in Multiparametric MRI: Comparable Effectiveness of a Deep Learning Model and Manual Segmentation
Author / Creator:Laukamp, Kai Roman ; Pennig, Lenhard ; Thiele, Frank ; Reimer, Robert ; Görtz, Lukas ; Shakirin, Georgy ; Zopfs, David ; Timmer, Marco ; Perkuhn, Michael ; Borggrefe, Jan
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:Clinical neuroradiology (Munich), 2021-06, Vol.31 (2), p.357-366
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ArticlesPeer ReviewedFull Text
AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study
Author / Creator:Meng, Fanyang ; Kottlors, Jonathan ; Shahzad, Rahil ; Liu, Haifeng ; Fervers, Philipp ; Jin, Yinhua ; Rinneburger, Miriam ; Le, Dou ; Weisthoff, Mathilda ; Liu, Wenyun ; Ni, Mengzhe ; Sun, Ye ; An, Liying ; Huai, Xiaochen ; Móré, Dorottya ; Giannakis, Athanasios ; Kaltenborn, Isabel ; Bucher, Andreas ; Maintz, David ; Zhang, Lei ; Thiele, Frank ; Li, Mingyang ; Perkuhn, Michael ; Zhang, Huimao ; Persigehl, Thorsten
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2023-06, Vol.33 (6), p.4280-4291
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ArticlesPeer ReviewedFull Text
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage
Author / Creator:Lenhard, Pennig ; Hoyer Ulrike Cornelia Isabel ; Krauskopf, Alexandra ; Rahil, Shahzad ; Jünger, Stephanie T ; Thiele, Frank ; Laukamp, Kai Roman ; Jan-Peter, Grunz ; Perkuhn, Michael ; Schlamann Marc ; Kabbasch Christoph ; Borggrefe, Jan ; Goertz Lukas
Publisher:Heidelberg: Springer Nature B.V
Journal title:Neuroradiology, 2021-12, Vol.63 (12), p.1985-1994
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ArticlesPeer ReviewedFull Text
EVALUATION OF AUTOMATED MENINGIOMA SEGMENTATION USING DEEP-LEARNING ON MULTIPARAMETRIC MRI
Author / Creator:Laukamp, Kai Roman ; Pennig, Lenhard ; Thiele, Frank ; Reimer, Robert Peter ; Zopfs, David ; Gortz, Lukas ; Timmer, Marco ; Shakirin, Georgy ; Perkuhn, Michael ; Borggrefe, Jan
Publisher:Springer
Journal title:Clinical neuroradiology (Munich), 2019-09, Vol.29 (S1), p.S3
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ArticlesPeer ReviewedFull Text
Performance of a state-of-the art deep learning model for automated detection and segmentation of biopsy-proven meningiomas using multiparametric MRI
Author / Creator:Thiele, Kai Roman Laukamp Frank ; Shakirin, Georgy ; Zopfs, David ; Timmer, Marco ; Faymonville, Andrea ; Maintz, David ; Perkuhn, Michael ; Borggrefe, Jan
Publisher:Springer
Journal title:Clinical neuroradiology (Munich), 2018-09, Vol.28 (S1), p.S86
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ArticlesPeer ReviewedFull Text
Radiomics-based shape and texture analyses on multiparametric MR imaging data for grading of biopsy-proven meningiomas
Author / Creator:Laukamp, Kai Roman ; Shakirin, Georgy ; Thiele, Frank ; Baessler, Bettina ; Zopfs, David ; Timmer, Marco ; Faymonville, Andrea ; Perkuhn, Michael ; Borggrefe, Jan
Publisher:Springer
Journal title:Clinical neuroradiology (Munich), 2018-09, Vol.28 (S1), p.S95
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Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI

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Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning

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Comparison of Accuracy of Arrival-Time-Insensitive and Arrival-Time-Sensitive CTP Algorithms for Prediction of Infarct Tissue Volumes

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Automated Meningioma Segmentation in Multiparametric MRI

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Monitoring of gadolinium uptake within the vessel wall during magnetic resonance (MR) guided angioplasty of the peripheral arteries with a paclitaxel/gadolinium coated balloon: an experimental study a...

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Automated Meningioma Segmentation in Multiparametric MRI: Comparable Effectiveness of a Deep Learning Model and Manual Segmentation

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AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study

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Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage

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EVALUATION OF AUTOMATED MENINGIOMA SEGMENTATION USING DEEP-LEARNING ON MULTIPARAMETRIC MRI

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Performance of a state-of-the art deep learning model for automated detection and segmentation of biopsy-proven meningiomas using multiparametric MRI

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Radiomics-based shape and texture analyses on multiparametric MR imaging data for grading of biopsy-proven meningiomas

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