ArticleImaging neuroscience (Cambridge, Mass.)2024
Automated deep learning segmentation of high-resolution 7 Tesla postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.
Abstract read
In one paragraph
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Review
- Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neurodegenerative pathologies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- An open-source stereotaxic container with an integrated cutting guide for human brain fixation during magnetic resonance imaging and sectioning for histology.bioRxiv : the preprint server for biology · 2026Article
- Cortical reconstruction and anatomical parcellation of high-resolution multi-modal postmortembioRxiv : the preprint server for biology · 2026Article
- Postmortem brain MRI reveals differential associations of subcortical and limbic volumes with cortical thinning and neuropathology patterns.bioRxiv : the preprint server for biology · 2025Article
- Article
- Operationalizing postmortem pathology-MRI association studies in Alzheimer's disease and related disorders with MRI-guided histology sampling.Acta neuropathologica communications · 2025Article
- Layer-Dependent Effect of Aβ-Pathology on Cortical Microstructure With Ex Vivo Human Brain Diffusion MRI at 7 Tesla.Human brain mapping · 2025Article
- Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans.Journal of neuroscience methods · 2025Article
- Segmentation of supragranular and infragranular layers in ultra-high-resolution 7T ex vivo MRI of the human cerebral cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Postmortem imaging reveals patterns of medial temporal lobe vulnerability to tau pathology in Alzheimer's disease.Nature communications · 2024Article
- Segmentation of supragranular and infragranular layers in ultra-high resolution 7TbioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
37 authors.
Pulkit KhandelwalDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States.
Michael Tran DuongDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States.
Shokufeh SadaghianiDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Sydney LimPenn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, United States.
Amanda E DenningPenn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, United States.
Eunice ChungPenn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, United States.
Sadhana RavikumarPenn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, United States.
Sanaz ArezoumandanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Claire PetersonDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Madigan BedardPenn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, United States.
Noah CappDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Ranjit IttyerahPenn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, United States.
Elyse MigdalDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Grace ChoiDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Emily KoppDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Bridget LojaDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Eusha HasanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Jiacheng LiDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Alejandra BahenaDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Karthik PrabhakaranDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Gabor MizseiDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Marianna GabrielyanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Theresa SchuckDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Winifred TrotmanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
John RobinsonDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Daniel T OhmDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Edward B LeeDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States.
John Q TrojanowskiDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Corey McMillanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Murray GrossmanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
David J IrwinDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
John A DetreDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
M Dylan TisdallDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Sandhitsu R DasPenn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, United States.
Laura E M WisseDepartment of Diagnostic Radiology, Lund University, Lund, Sweden.
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, United States.
Paul A YushkevichPenn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, United States.
Funding
Transgenic Mouse Models of Tau PathologiesP01AG017586 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2000 to 2021
$37.3MResearch Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Corey T McMillan · 2021 to 2026
$24.8MUnderstanding Environmental Contributions to Heterogeneity in bvFTD.P01AG066597 · NIA · UNIVERSITY OF PENNSYLVANIA · PI David John Irwin, Corey T McMillan · 2020 to 2026
$18.8MProject IV "Tackling Heterogeneity of Cognitive Trajectory in LBD"U19AG062418 · NIA · UNIVERSITY OF PENNSYLVANIA · PI GROSSMAN, MURRAY · 2019 to 2023
$18.1MProject IV: In Vivo Dissection of Genetic Modifiers on Different Stages of SynucleinopathyP01AG084497 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Kelvin C Luk · 2024 to 2026
$15.2MSpreading Tau Pathology in Non-Amnestic Alzheimer's DiseaseR01AG054519 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jeffrey S Phillips · 2018 to 2026
$7.4MEx Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsR01AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Paul A. Yushkevich · 2017 to 2026
$4.5MCharacterization of relationship between tau pathology and neurodegeneration in Alzheimer's disease using multimodal imagingR01AG072796 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Sandhitsu Das, DAVID A WOLK · 2022 to 2026
$4.0MMicroscopic and Large-Scale Networks of Molecular Pathology in Frontotemporal Lobar DegenerationR01NS109260 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI IRWIN, DAVID JOHN · 2019 to 2023
$3.8MImproving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseRF1AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2021 to 2021
$2.1MEx Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsRF1AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2023 to 2023
$2.1MImproving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseR01AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2024 to 2025
$1.4MNIA NIH HHS P01 AG017586NIA NIH HHS P01 AG066597NIA NIH HHS P01 AG084497NIA NIH HHS P30 AG072979NIA NIH HHS R01 AG054519NIA NIH HHS R01 AG056014NIA NIH HHS R01 AG069474NIA NIH HHS R01 AG072796NIA NIH HHS RF1 AG056014NIA NIH HHS RF1 AG069474NIA NIH HHS U19 AG062418NINDS NIH HHS R01 NS109260
Abstract
PubMed holds no abstract for this paper.
Indexed as
7 T postmortem MRIAlzheimer’s diseasedeep learningdementiaimage segmentation
Identifiers
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.