C
Connie Jung
Researcher at University of Southern California
Publications - 3
Citations - 203
Connie Jung is an academic researcher from University of Southern California. The author has contributed to research in topics: Segmentation & Neuroimaging. The author has an hindex of 3, co-authored 3 publications receiving 117 citations.
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A large, open source dataset of stroke anatomical brain images and manual lesion segmentations
Sook-Lei Liew,Julia Anglin,Nicholas W. Banks,Matt Sondag,Kaori L. Ito,Hosung Kim,Jennifer Chan,Joyce Ito,Connie Jung,Nima Khoshab,Stéphanie Lefebvre,William Nakamura,David Saldana,Allie Schmiesing,Cathy Tran,Danny Vo,Tyler Ard,Panthea Heydari,Bokkyu Kim,Lisa Aziz-Zadeh,Steven C. Cramer,Jingchun Liu,Surjo R. Soekadar,Jan Egil Nordvik,Lars T. Westlye,Lars T. Westlye,Junping Wang,Carolee J. Winstein,Chunshui Yu,Lei Ai,Bonhwang Koo,R. Cameron Craddock,R. Cameron Craddock,Michael P. Milham,Michael P. Milham,Matthew Lakich,Amy Pienta,Alison Stroud +37 more
TL;DR: This work presents ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata that can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods.
Posted ContentDOI
The Anatomical Tracings of Lesions After Stroke (ATLAS) Dataset - Release 1.1
Sook-Lei Liew,Julia Anglin,Nicholas W. Banks,Matt Sondag,Kaori L. Ito,Hosung Kim,Jennifer Chan,Joyce Ito,Connie Jung,Stéphanie Lefebvre,William Nakamura,David Saldana,Allie Schmiesing,Cathy Tran,Danny Vo,Tyler Ard,Panthea Heydari,Bokkyu Kim,Lisa Aziz-Zadeh,Steven C. Cramer,Jingchun Liu,Surjo R. Soekadar,Jan Egil Nordvik,Lars T. Westlye,Junping Wang,Carolee J. Winstein,Chunshui Yu,Lei Ai,Bonhwang Koo,R. Cameron Craddock,Michael P. Milham,Matthew Lakich,Amy Pienta,Alison Stroud +33 more
TL;DR: This work presents ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata that can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods.
Posted ContentDOI
A large, open source dataset of stroke anatomical brain images and manual lesion segmentations
Sook-Lei Liew,Julia Anglin,Nicholas W. Banks,Matt Sondag,Kaori L. Ito,Hosung Kim,Jennifer Chan,Joyce Ito,Connie Jung,Nima Khoshab,Stéphanie Lefebvre,William Nakamura,David Saldana,Allie Schmiesing,Cathy Tran,Danny Vo,Tyler Ard,Panthea Heydari,Bokkyu Kim,Lisa Aziz-Zadeh,Steven C. Cramer,Jingchun Liu,Surjo R. Soekadar,Jan Egil Nordvik,Lars T. Westlye,Lars T. Westlye,Junping Wang,Carolee J. Winstein,Chunshui Yu,Lei Ai,Bonhwang Koo,R. Cameron Craddock,R. Cameron Craddock,Michael P. Milham,Michael P. Milham,Matthew Lakich,Amy Pienta,Alison Stroud +37 more
TL;DR: This work presents ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata that can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods.