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Richard McKinley

Showing results (11-20 of 45) with videos related to

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Frontiers in Neurology|March 7, 2022
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRIMichael Rebsamen, Piotr Radojewski, Richard McKinley, et al.
Frontiers in Neurology|December 21, 2018
Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical InformationAdriano Pinto, Richard Mckinley, Victor Alves, et al.
Frontiers in Neurology|February 9, 2018
A Fully Automated Pipeline for Normative Atrophy in Patients with Neurodegenerative DiseaseChristian Rummel, Fabian Aschwanden, Richard McKinley, et al.
Neuroimage. Clinical|June 1, 2024
Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methodsDavid Romascano, Michael Rebsamen, Piotr Radojewski, et al.
Medical Image Analysis|January 1, 2018
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentationSérgio Pereira, Raphael Meier, Richard McKinley, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 13, 2025
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix PolarimetryChristopher Hahne, Omar Rodriguez-Nunez, Elea Gros, et al.
Frontiers in Neurology|September 27, 2018
Relating Acute Lesion Loads to Chronic Outcome in Ischemic Stroke-An Exploratory Comparison of Mismatch Patterns and Predictive ModelingSimon Habegger, Roland Wiest, Bruno J Weder, et al.
Radiology. Artificial Intelligence|May 3, 2021
Neural Network-derived Perfusion Maps for the Assessment of Lesions in Patients with Acute Ischemic StrokeRaphael Meier, Paula Lux, B Med, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 11, 2025
Machine learning for white matter fibre tract visualization in the human brain via Mueller matrix polarimetric dataRichard McKinley, Leonard A Felger, Ekkehard Hewer, et al.
Human Brain Mapping|June 8, 2026
Mitigating the Impact of MR Sequence Parameters: Increasing the Robustness of DL-Based Cortical Thickness EstimatesTimo Blattner, David Romascano, Richard McKinley, et al.
Pageof 5

Showing results (11-20 of 45) with videos related to

Sort By:
Pageof 5
Frontiers in Neurology|March 7, 2022
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRIMichael Rebsamen, Piotr Radojewski, Richard McKinley, et al.
Frontiers in Neurology|December 21, 2018
Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical InformationAdriano Pinto, Richard Mckinley, Victor Alves, et al.
Frontiers in Neurology|February 9, 2018
A Fully Automated Pipeline for Normative Atrophy in Patients with Neurodegenerative DiseaseChristian Rummel, Fabian Aschwanden, Richard McKinley, et al.
Neuroimage. Clinical|June 1, 2024
Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methodsDavid Romascano, Michael Rebsamen, Piotr Radojewski, et al.
Medical Image Analysis|January 1, 2018
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentationSérgio Pereira, Raphael Meier, Richard McKinley, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 13, 2025
Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix PolarimetryChristopher Hahne, Omar Rodriguez-Nunez, Elea Gros, et al.
Frontiers in Neurology|September 27, 2018
Relating Acute Lesion Loads to Chronic Outcome in Ischemic Stroke-An Exploratory Comparison of Mismatch Patterns and Predictive ModelingSimon Habegger, Roland Wiest, Bruno J Weder, et al.
Radiology. Artificial Intelligence|May 3, 2021
Neural Network-derived Perfusion Maps for the Assessment of Lesions in Patients with Acute Ischemic StrokeRaphael Meier, Paula Lux, B Med, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 11, 2025
Machine learning for white matter fibre tract visualization in the human brain via Mueller matrix polarimetric dataRichard McKinley, Leonard A Felger, Ekkehard Hewer, et al.
Human Brain Mapping|June 8, 2026
Mitigating the Impact of MR Sequence Parameters: Increasing the Robustness of DL-Based Cortical Thickness EstimatesTimo Blattner, David Romascano, Richard McKinley, et al.
Pageof 5