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Frank Thiele

Showing results (11-20 of 31) with videos related to

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Scientific Reports|December 14, 2020
Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learningRahil Shahzad, Lenhard Pennig, Lukas Goertz, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 17, 2009
Association between FDG uptake, CSF biomarkers and cognitive performance in patients with probable Alzheimer's diseaseSönke Arlt, Stefanie Brassen, Holger Jahn, et al.
Scientific Reports|June 11, 2020
Comparison of Accuracy of Arrival-Time-Insensitive and Arrival-Time-Sensitive CTP Algorithms for Prediction of Infarct Tissue VolumesLenhard Pennig, Frank Thiele, Lukas Goertz, et al.
Frontiers in Oncology|August 2, 2021
Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CTKan He, Xiaoming Liu, Rahil Shahzad, et al.
Plos One|July 16, 2020
Towards subject-level cerebral infarction classification of CT scans using convolutional networksManuel Schultheiss, Peter B Noël, Isabelle Riederer, et al.
Clinical Neuroradiology|February 16, 2020
Automated Meningioma Segmentation in Multiparametric MRI : Comparable Effectiveness of a Deep Learning Model and Manual SegmentationKai Roman Laukamp, Lenhard Pennig, Frank Thiele, et al.
World Neurosurgery|September 3, 2019
Accuracy of Radiomics-Based Feature Analysis on Multiparametric Magnetic Resonance Images for Noninvasive Meningioma GradingKai Roman Laukamp, Georgy Shakirin, Bettina Baeßler, et al.
Physics in Medicine and Biology|September 1, 2009
The quantification of dynamic FET PET imaging and correlation with the clinical outcome in patients with glioblastomaFrank Thiele, Julia Ehmer, Marc D Piroth, et al.
Journal of Magnetic Resonance Imaging : JMRI|July 15, 2020
Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep LearningLenhard Pennig, Ulrike Cornelia Isabel Hoyer, Lukas Goertz, et al.
Neuroradiology|April 10, 2021
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhageLenhard Pennig, Ulrike Cornelia Isabel Hoyer, Alexandra Krauskopf, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Scientific Reports|December 14, 2020
Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learningRahil Shahzad, Lenhard Pennig, Lukas Goertz, et al.
European Journal of Nuclear Medicine and Molecular Imaging|February 17, 2009
Association between FDG uptake, CSF biomarkers and cognitive performance in patients with probable Alzheimer's diseaseSönke Arlt, Stefanie Brassen, Holger Jahn, et al.
Scientific Reports|June 11, 2020
Comparison of Accuracy of Arrival-Time-Insensitive and Arrival-Time-Sensitive CTP Algorithms for Prediction of Infarct Tissue VolumesLenhard Pennig, Frank Thiele, Lukas Goertz, et al.
Frontiers in Oncology|August 2, 2021
Advanced Deep Learning Approach to Automatically Segment Malignant Tumors and Ablation Zone in the Liver With Contrast-Enhanced CTKan He, Xiaoming Liu, Rahil Shahzad, et al.
Plos One|July 16, 2020
Towards subject-level cerebral infarction classification of CT scans using convolutional networksManuel Schultheiss, Peter B Noël, Isabelle Riederer, et al.
Clinical Neuroradiology|February 16, 2020
Automated Meningioma Segmentation in Multiparametric MRI : Comparable Effectiveness of a Deep Learning Model and Manual SegmentationKai Roman Laukamp, Lenhard Pennig, Frank Thiele, et al.
World Neurosurgery|September 3, 2019
Accuracy of Radiomics-Based Feature Analysis on Multiparametric Magnetic Resonance Images for Noninvasive Meningioma GradingKai Roman Laukamp, Georgy Shakirin, Bettina Baeßler, et al.
Physics in Medicine and Biology|September 1, 2009
The quantification of dynamic FET PET imaging and correlation with the clinical outcome in patients with glioblastomaFrank Thiele, Julia Ehmer, Marc D Piroth, et al.
Journal of Magnetic Resonance Imaging : JMRI|July 15, 2020
Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep LearningLenhard Pennig, Ulrike Cornelia Isabel Hoyer, Lukas Goertz, et al.
Neuroradiology|April 10, 2021
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhageLenhard Pennig, Ulrike Cornelia Isabel Hoyer, Alexandra Krauskopf, et al.
Pageof 4