Laura E. M. Wisse
According to our database1,
Laura E. M. Wisse
authored at least 18 papers
between 2016 and 2023.
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Bibliography
2023
Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation.
Medical Image Anal., 2023
Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI.
CoRR, 2023
Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.
CoRR, 2023
Integrating color deconvolution thresholding and weakly supervised learning for automated segmentation of neurofibrillary tangle and neuropil threads.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation.
Proceedings of the Information Processing in Medical Imaging, 2023
2021
DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.
NeuroImage, 2021
Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres.
CoRR, 2021
Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo Imaging.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline.
Proceedings of the Information Processing in Medical Imaging, 2021
2020
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease.
CoRR, 2020
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Facilitating Manual Segmentation of 3D Datasets Using Contour And Intensity Guided Interpolation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.
Proc. Natl. Acad. Sci. USA, 2018
Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting.
Proceedings of the Shape in Medical Imaging, 2018
2017
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.
NeuroImage, 2017
2016
Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
A framework for informing segmentation of in vivo MRI with information derived from ex vivo imaging: Application in the medial temporal lobe.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016