David J. Irwin
Orcid: 0000-0002-5599-5098
According to our database1,
David J. Irwin
authored at least 9 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 1982, "For contributions to industrial electronics, control instrumentation, and engineering education.".
Timeline
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Bibliography
2024
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases.
CoRR, 2024
2023
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
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
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