M
Mengjin Dong
Researcher at University of Pennsylvania
Publications - 10
Citations - 89
Mengjin Dong is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Neurofibrillary tangle & Medicine. The author has an hindex of 3, co-authored 8 publications receiving 30 citations.
Papers
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Journal ArticleDOI
Longitudinal atrophy in early Braak regions in preclinical Alzheimer's disease.
Long Xie,Laura E.M. Wisse,Laura E.M. Wisse,Sandhitsu R. Das,Nicolas Vergnet,Mengjin Dong,Ranjit Ittyerah,Robin de Flores,Paul A. Yushkevich,David A. Wolk +9 more
TL;DR: Measurements of longitudinal atrophy reflect active neurodegeneration and thus are more directly linked to active disease progression than cross‐sectional measurements, and may serve as efficient outcome measures in clinical trials.
Journal ArticleDOI
Three-dimensional mapping of neurofibrillary tangle burden in the human medial temporal lobe
Paul A. Yushkevich,M. López,Maria Mercedes Iniguez de Onzono Martin,Ranjit Ittyerah,Sydney Lim,Sadhana Ravikumar,Madigan L. Bedard,Stephen Pickup,Weixia Liu,Jiancong Wang,Ling Yu Hung,Jade Lasserve,Nicolas Vergnet,Long Xie,Mengjin Dong,Salena Cui,Lauren McCollum,John L. Robinson,Theresa Schuck,Robin de Flores,Murray Grossman,M. Dylan Tisdall,Karthik Prabhakaran,Gabor Mizsei,Sandhitsu R. Das,Emilio Artacho-Pérula,María del Mar Arroyo Jiménez,Marı’a Pilar Marcos Raba,Francisco Javier Molina Romero,Sandra Cebada Sánchez,José Carlos Delgado González,Carlos de la Rosa-Prieto,Marta Córcoles Parada,Edward B. Lee,John Q. Trojanowski,Daniel T. Ohm,Laura Wisse,David A. Wolk,David J. Irwin,Ricardo Insausti +39 more
TL;DR: In this paper, the authors constructed 3D quantitative maps of neurofibrillary tangle burden in the medial temporal lobe at individual and group levels and found significant variation along the anterior-posterior axis.
Book ChapterDOI
Improving Multi-atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation
TL;DR: CNN-based estimates improve the segmentation accuracy of popular patch-based MAS techniques, i.e. spatially varying weighted voting and joint label fusion, in the context of segmenting medial temporal lobe subregions in T1-weighted MRI.
Proceedings ArticleDOI
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe
Paul A. Yushkevich,Maria Mercedes Iniguez de Onzono Martin,Ranjit Ittyerah,Sydney Lim,Madigan Lavery,Jiancong Wang,Ling Yu Hung,Nicolas Vergnet,Sadhana Ravikumar,Long Xie,Mengjin Dong,Robin DeFlores,Salena Cui,Lauren McCollum,Daniel T. Ohm,John L. Robinson,Theresa Schuck,Murray Grossman,M. Dylan Tisdall,Karthik Prabhakaran,Gabor Mizsei,Sandhitsu R. Das,Emilio Artacho-Pérula,María del Mar Arroyo Jiménez,Monica Munoz Lopez,Maria del Pilar Marcos Rabal,Francisco Javier Molina Romero,Edward B. Lee,John Q. Trojanowski,Laura E.M. Wisse,David A. Wolk,David J. Irwin,Ricardo Insausti +32 more
TL;DR: A computational framework for generating 3D maps of NFT load from ex vivo MRI and serial histology is presented, which are strongly concordant with manual NFT counting, as well as categorical NFT severity ratings used for clinical diagnosis.
Posted ContentDOI
3D Mapping of Neurofibrillary Tangle Burden in the Human Medial Temporal Lobe
Paul A. Yushkevich,M. López,Maria Mercedes Iniguez de Onzono Martin,Ranjit Ittyerah,Sydney Lim,Sadhana Ravikumar,Madigan L. Bedard,Stephen Pickup,Weixia Liu,Jiancong Wang,Ling Yu Hung,Jade Lasserve,Nicolas Vergnet,Long Xie,Mengjin Dong,Salena Cui,Lauren McCollum,John L. Robinson,Theresa Schuck,Robin de Flores,Murray Grossman,M. Dylan Tisdall,Karthik Prabhakaran,Gabor Mizsei,Sandhitsu R. Das,Emilio Artacho-Pérula,María del Mar Arroyo Jiménez,Maria del Pilar Marcos Rabal,Francisco Javier Molina Romero,Sandra Cebada Sánchez,José Carlos Delgado González,Carlos de la Rosa-Prieto,Marta Córcoles Parada,Edward B. Lee,John Q. Trojanowski,Daniel T. Ohm,Laura Wisse,David A. Wolk,David J. Irwin,Ricardo Insausti +39 more
TL;DR: In this paper, the authors used ex vivo MRI and dense serial histological imaging in 18 human medial temporal lobe (MTL) specimens to construct 3D quantitative maps of NFT burden in the MTL at individual and group levels.