Julie Winterburn
Julie Winterburn
Research Assistant, Centre for Addiction and Mental Health
Verified email at camh.ca
Title
Cited by
Cited by
Year
Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates
J Pipitone, MTM Park, J Winterburn, TA Lett, JP Lerch, JC Pruessner, ...
Neuroimage 101, 494-512, 2014
2312014
Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: towards a harmonized segmentation protocol
PA Yushkevich, RSC Amaral, JC Augustinack, AR Bender, JD Bernstein, ...
Neuroimage 111, 526-541, 2015
186*2015
A novel in vivo atlas of human hippocampal subfields using high-resolution 3 T magnetic resonance imaging
JL Winterburn, JC Pruessner, S Chavez, MM Schira, NJ Lobaugh, ...
Neuroimage 74, 254-265, 2013
1792013
A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals?
LEM Wisse, AM Daugherty, RK Olsen, D Berron, VA Carr, CEL Stark, ...
Hippocampus 27 (1), 3-11, 2017
742017
Derivation of high-resolution MRI atlases of the human cerebellum at 3 T and segmentation using multiple automatically generated templates
MTM Park, J Pipitone, LH Baer, JL Winterburn, Y Shah, S Chavez, ...
Neuroimage 95, 217-231, 2014
742014
Hippocampal (subfield) volume and shape in relation to cognitive performance across the adult lifespan
AN Voineskos, JL Winterburn, D Felsky, J Pipitone, TK Rajji, BH Mulsant, ...
Human brain mapping 36 (8), 3020-3037, 2015
612015
Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in …
RSC Amaral, MTM Park, GA Devenyi, V Lynn, J Pipitone, J Winterburn, ...
Neuroimage 170, 132-150, 2018
392018
Automatic segmentation of the hippocampus for preterm neonates from early-in-life to term-equivalent age
T Guo, JL Winterburn, J Pipitone, EG Duerden, MTM Park, V Chau, ...
NeuroImage: Clinical 9, 176-193, 2015
242015
Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study
JL Winterburn, AN Voineskos, GA Devenyi, E Plitman, ...
Schizophrenia Research 214, 3-10, 2019
202019
Alzheimer's Disease Neuroimaging Initiative Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates
J Pipitone, MTM Park, J Winterburn, TA Lett, JP Lerch, JC Pruessner, ...
Neuroimage 101 (101), 494-512, 2014
142014
Manual-protocol inspired technique for improving automated MR image segmentation during label fusion
N Bhagwat, J Pipitone, JL Winterburn, T Guo, EG Duerden, AN Voineskos, ...
Frontiers in neuroscience 10, 325, 2016
82016
High-resolution in vivo manual segmentation protocol for human hippocampal subfields using 3T magnetic resonance imaging
J Winterburn, JC Pruessner, C Sofia, MM Schira, NJ Lobaugh, ...
JoVE (Journal of Visualized Experiments), e51861, 2015
62015
Comparison of Techniques for Classification of Patients with Schizophrenia and Healthy Controls
JL Winterburn, AN Voineskos, BH Mulsant, JP Lerch, MM Chakravarty
BIOLOGICAL PSYCHIATRY 77 (9), 357S-357S, 2015
2015
Comparing Techniques for Classifying Patients with Schizophrenia and Healthy Controls using Machine Learning and Magnetic Resonance Imaging
JL Winterburn
2015
The system can't perform the operation now. Try again later.
Articles 1–14