Segui
Dr. med. Thoralf Thamm
Dr. med. Thoralf Thamm
Ev. Geriatriezentrum Berlin, Charité - Universitätsmedizin Berlin
Email verificata su charite.de
Titolo
Citata da
Citata da
Anno
Use of deep learning to predict final ischemic stroke lesions from initial magnetic resonance imaging
Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, C Huang, S Christensen, ...
JAMA network open 3 (3), e200772-e200772, 2020
1292020
Simultaneous phase‐contrast MRI and PET for noninvasive quantification of cerebral blood flow and reactivity in healthy subjects and patients with cerebrovascular disease
Y Ishii, T Thamm, J Guo, MM Khalighi, M Wardak, D Holley, H Gandhi, ...
Journal of Magnetic Resonance Imaging 51 (1), 183-194, 2020
322020
Contralateral hemispheric cerebral blood flow measured with arterial spin labeling can predict outcome in acute stroke
T Thamm, J Guo, J Rosenberg, T Liang, MP Marks, S Christensen, HM Do, ...
Stroke 50 (12), 3408-3415, 2019
282019
Tissue at risk and ischemic core estimation using deep learning in acute stroke
Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, S Christensen, MP Marks, ...
American Journal of Neuroradiology 42 (6), 1030-1037, 2021
222021
Correction for susceptibility distortions increases the performance of arterial spin labeling in patients with cerebrovascular disease
VI Madai, SZ Martin, FC von Samson‐Himmelstjerna, CX Herzig, ...
Journal of Neuroimaging 26 (4), 436-444, 2016
192016
Diagnostic and prognostic benefit of arterial spin labeling in subacute stroke
T Thamm, S Zweynert, SK Piper, VI Madai, M Livne, SZ Martin, CX Herzig, ...
Brain and behavior 9 (5), e01271, 2019
152019
Use of deep learning to predict final ischemic stroke lesions from initial magnetic resonance imaging. JAMA Netw Open 3 (3): e200772
Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, C Huang, S Christensen, ...
52020
Improved prediction of the final infarct from acute stroke neuroimaging using deep learning
Y Niu, E Gong, J Xu, T Thamm, J Pauly, G Zaharchuk
Proceedings of the 26th International Society for Magnetic Resonance in …, 2018
32018
Validation of Cerebrovascular Reactivity by Arterial Spin Labeling MRI in Moyamoya Disease with Simultaneously Measured 15O-PET and Phase-contrast MRI
Y Ishii, T Thamm, J Guo, MM Khalighi, M Wardak, D Holley, H Gandhi, ...
Joint Annual Meeting ISMRM-ESMRMB, 2018
12018
Nicht-invasive MRT-Perfusionsbildgebung für Diagnosestellung, Therapiemanagement und Prognoseabschätzung bei Patienten mit ischämischem Schlaganfall
TF Thamm
Medizinische Fakultät Charité-Universitätsmedizin Berlin, 2021
2021
Nicht-invasive MRT-Perfusionsbildgebung für Diagnosestellung, Therapiemanagement und Prognoseabschätzung bei Patienten mit ischämischem Schlaganfall
TF Thamm
2021
Abstract WP79: The Value of Pre-Training for Deep Learning Acute Stroke Triaging Models
Y Yu, Y Xie, E Gong, T Thamm, J Ouyang, S Christensen, M Lansberg, ...
Stroke 51 (Suppl_1), AWP79-AWP79, 2020
2020
Deep learning based Ischemic core prediction from perfusion-weighted imaging in acute ischemic stroke
Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, S Christensen, MP Marks, ...
Proc. Intl. Soc. Mag. Reson. Med 28, 1648, 2020
2020
Arterial spin labeling underestimates cerebral blood flow in regions with fast arrival times: a simultaneous [O-15] PET/MRI study with acetazolamide challenge
Y Ishii, T Thamn, J Guo, MM Khalighi, M Wardak, JH Park, GK Steinberg, ...
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 54-55, 2019
2019
Deep learning-based penumbra estimation using DWI and ASL for acute ischemic stroke patients
Y Xie, Y Yu, T Thamm, E Gong, J Ouyang, C Huang, S Christensen, ...
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 622-622, 2019
2019
Clinical validation of penumbra and ischemic core prediction from deep learning algorithm using baseline multimodal MRI in acute ischemic stroke patients: A multi-center study
Y Yu, Y Xie, T Thamm, E Gong, C Huang, S Christensen, MG Lansberg, ...
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 10-11, 2019
2019
The feasibility of deep learning to predict final stroke lesion using baseline diffusion-weighted imaging only in non-recanalized acute ischemic stroke patients
Y Yu, Y Xie, T Thamm, E Gong, S Christensen, MG Lansberg, GW Albers, ...
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 39, 231-232, 2019
2019
Abstract WMP19: Prediction of Subacute Infarction in Acute Ischemic Stroke Using Baseline Multi-modal MRI and Deep Learning
Y Yu, Y Xie, T Thamm, KT Chen, E Gong, G Zaharchuk
Stroke 50 (Suppl_1), AWMP19-AWMP19, 2019
2019
Using convolutional neural networks to predict infarct development in acute ischemic stroke patients: does reperfusion status matter?
Y Xie, Y Yu, T Thamm, C Huang, E Gong, S Christensen, M Lansberg, ...
Proc. Intl. Soc. Mag. Reson. Med 27, 0030, 2019
2019
Quantitative Cerebral Blood Flow Measured With Arterial Spin Labeling MRI in the Unaffected Hemisphere Predicts Outcome in Acute Ischemic Stroke
T Thamm, J Guo, J Rosenberg, T Liang, S Christensen, MP Marks, HM Do, ...
Stroke 49 (Suppl_1), A118-A118, 2018
2018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20