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Journal of Alzheimer'S Disease : JAD
|
February 28, 2015
Fully Automated Atlas-Based Hippocampus Volumetry for Clinical Routine: Validation in Subjects with Mild Cognitive Impairment from the ADNI Cohort
Per Suppa, Harald Hampel, Lothar Spies, et al.
Physics in Medicine and Biology
|
November 13, 2013
Fully automatic detection of deep white matter T1 hypointense lesions in multiple sclerosis
Lothar Spies, Anja Tewes, Per Suppa, et al.
Journal of Neurology
|
July 27, 2014
A novel computerized algorithm to detect microstructural brainstem pathology in Parkinson's disease using standard 3 Tesla MR imaging
Kai Boelmans, Lothar Spies, Jan Sedlacik, et al.
International Journal of Computer Assisted Radiology and Surgery
|
June 16, 2024
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI
Roland Opfer, Julia Krüger, Thomas Buddenkotte, et al.
Journal of Alzheimer'S Disease : JAD
|
November 21, 2017
Prediction of Alzheimer's Dementia in Patients with Amnestic Mild Cognitive Impairment in Clinical Routine: Incremental Value of Biomarkers of Neurodegeneration and Brain Amyloidosis Added Stepwise to Cognitive Status
Catharina Lange, Per Suppa, Uwe Pietrzyk, et al.
Computers in Biology and Medicine
|
October 18, 2024
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning
Roland Opfer, Tjalf Ziemssen, Julia Krüger, et al.
European Radiology
|
October 20, 2022
Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability
Roland Opfer, Julia Krüger, Lothar Spies, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
March 5, 2018
Impact of plasma glucose level on the pattern of brain FDG uptake and the predictive power of FDG PET in mild cognitive impairment
Ivayla Apostolova, Catharina Lange, Per Suppa, et al.
Journal of Alzheimer'S Disease : JAD
|
March 1, 2016
Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment
Per Suppa, Harald Hampel, Timo Kepp, et al.
Neuroimage. Clinical
|
December 27, 2016
MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?
Christine Egger, Roland Opfer, Chenyu Wang, et al.
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Showing results (11-20 of 36) with videos related to
Sort By:
Page
of 4
Journal of Alzheimer'S Disease : JAD
|
February 28, 2015
Fully Automated Atlas-Based Hippocampus Volumetry for Clinical Routine: Validation in Subjects with Mild Cognitive Impairment from the ADNI Cohort
Per Suppa, Harald Hampel, Lothar Spies, et al.
Physics in Medicine and Biology
|
November 13, 2013
Fully automatic detection of deep white matter T1 hypointense lesions in multiple sclerosis
Lothar Spies, Anja Tewes, Per Suppa, et al.
Journal of Neurology
|
July 27, 2014
A novel computerized algorithm to detect microstructural brainstem pathology in Parkinson's disease using standard 3 Tesla MR imaging
Kai Boelmans, Lothar Spies, Jan Sedlacik, et al.
International Journal of Computer Assisted Radiology and Surgery
|
June 16, 2024
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI
Roland Opfer, Julia Krüger, Thomas Buddenkotte, et al.
Journal of Alzheimer'S Disease : JAD
|
November 21, 2017
Prediction of Alzheimer's Dementia in Patients with Amnestic Mild Cognitive Impairment in Clinical Routine: Incremental Value of Biomarkers of Neurodegeneration and Brain Amyloidosis Added Stepwise to Cognitive Status
Catharina Lange, Per Suppa, Uwe Pietrzyk, et al.
Computers in Biology and Medicine
|
October 18, 2024
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning
Roland Opfer, Tjalf Ziemssen, Julia Krüger, et al.
European Radiology
|
October 20, 2022
Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability
Roland Opfer, Julia Krüger, Lothar Spies, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
March 5, 2018
Impact of plasma glucose level on the pattern of brain FDG uptake and the predictive power of FDG PET in mild cognitive impairment
Ivayla Apostolova, Catharina Lange, Per Suppa, et al.
Journal of Alzheimer'S Disease : JAD
|
March 1, 2016
Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment
Per Suppa, Harald Hampel, Timo Kepp, et al.
Neuroimage. Clinical
|
December 27, 2016
MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?
Christine Egger, Roland Opfer, Chenyu Wang, et al.
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of 4