Alyssa H. Zhu

According to our database, Alyssa H. Zhu authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Large-scale Normative Modeling of Brain Microstructure.

Julio E. Villalon-Reina, Alyssa H. Zhu, Talia M. Nir, Sophia I. Thomopoulos, Emily Laltoo, Leila Kushan, Carrie E. Bearden, Neda Jahanshad, Paul M. Thompson

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Along-Tract Parameterization of White Matter Microstructure using Medial Tractography Analysis (MeTA).

Iyad Ba Gari, Shayan Javid, Alyssa H. Zhu, Shruti Prashant Gadewar, Siddharth Narula, Abhinaav Ramesh, Sophia I. Thomopoulos, Lachlan T. Strike, Greig I. de Zubicaray, Katie L. McMahon, Margaret J. Wright, Paul M. Thompson, Talia M. Nir, Neda Jahanshad

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Normative Aging for an Individual's Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration.

Shruti Prashant Gadewar, Alyssa H. Zhu, Sunanda Somu, Abhinaav Ramesh, Iyad Ba Gari, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs.

Shruti Prashant Gadewar, Elnaz Nourollahimoghadam, Ravi R. Bhatt, Abhinaav Ramesh, Shayan Javid, Iyad Ba Gari, Alyssa H. Zhu, Sophia I. Thomopoulos, Paul M. Thompson, Neda Jahanshad

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Cerebral blood flow and cardiovascular risk effects on resting brain regional homogeneity.

Bhim M. Adhikari, L. Elliot Hong, Zhiwei Zhao, Danny J. J. Wang, Paul M. Thompson, Neda Jahanshad, Alyssa H. Zhu, Stefan Holiga, Jessica A. Turner, Theo G. M. van Erp, Vince D. Calhoun, Kathryn S. Hatch, Heather Bruce, Stephanie M. Hare, Joshua Chiappelli, Eric L. Goldwaser, Mark D. Kvarta, Yizhou Ma, Xiaoming Du, Thomas E. Nichols, Alan R. Shuldiner, Braxton D. Mitchell, Juergen Dukart, Peter V. Kochunov

NeuroImage, 2022

Lifestyle Factors That Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia.

Elizabeth Haddad, Shayan Javid, Nikhil J. Dhinagar, Alyssa H. Zhu, Pradeep Lam, Iyad Ba Gari, Arpana Gupta, Paul M. Thompson, Talia M. Nir, Neda Jahanshad

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

2021

Style Transfer Using Generative Adversarial Networks for Multi-site MRI Harmonization.

Mengting Liu, Piyush Maiti, Sophia I. Thomopoulos, Alyssa H. Zhu, Yaqiong Chai, Hosung Kim, Neda Jahanshad

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Age-Related Heterochronicity Of Brain Morphometry May Bias Voxelwise Findings.

Alyssa H. Zhu, Paul M. Thompson, Neda Jahanshad

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Region Specific Automatic Quality Assurance For MRI-Derived Cortical Segmentations.

Shruti Gadewar, Alyssa H. Zhu, Sophia I. Thomopoulos, Zhuocheng Li, Iyad Ba Gari, Piyush Maiti, Paul M. Thompson, Neda Jahanshad

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport.

Ling-Li Zeng, Christopher R. K. Ching, Zvart Abaryan, Sophia I. Thomopoulos, Kai Gao, Alyssa H. Zhu, Anjanibhargavi Ragothaman, Faisal Rashid, Marc Harrison, Lauren E. Salminen, Brandalyn C. Riedel, Neda Jahanshad, Dewen Hu, Paul M. Thompson

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2017

Spinal cord grey matter segmentation challenge.

Ferran Prados, John Ashburner, Claudia Blaiotta, Tom Brosch, Julio Carballido-Gamio, Manuel Jorge Cardoso, Benjamin N. Conrad, Esha Datta, Gergely Dávid, Benjamin De Leener, Sara M. Dupont, Patrick Freund, Claudia A. M. Gandini Wheeler-Kingshott, Francesco Grussu, Roland G. Henry, Bennett A. Landman, Emil Ljungberg, Bailey Lyttle, Sébastien Ourselin, Nico Papinutto, Salvatore Saporito, Regina Schlaeger, Seth A. Smith, Paul E. Summers, Roger C. Tam, Marios C. Yiannakas, Alyssa H. Zhu, Julien Cohen-Adad

NeuroImage, 2017

Gray matter segmentation of the spinal cord with active contours in MR images.

Esha Datta, Nico Papinutto, Regina Schlaeger, Alyssa H. Zhu, Julio Carballido-Gamio, Roland G. Henry

NeuroImage, 2017

2016

Power estimation for non-standardized multisite studies.

Anisha Keshavan, Friedemann Paul, Mona K. Beyer, Alyssa H. Zhu, Nico Papinutto, Russell T. Shinohara, William Stern, Michael Amann, Rohit Bakshi, Antje Bischof, Alessandro Carriero, Manuel Comabella, Jason C. Crane, Sandra D'Alfonso, Philippe Demaerel, Benedicte Dubois, Massimo Filippi, Vinzenz Fleischer, Bertrand Fontaine, Laura Gaetano, An Goris, Christiane Graetz, Adriane Gröger, Sergiu Groppa, David A. Hafler, Hanne F. Harbo, Bernhard Hemmer, Kesshi Jordan, Ludwig Kappos, Gina Kirkish, Sara Llufriu, Stefano Magon, Filippo Martinelli-Boneschi, Jacob L. McCauley, Xavier Montalban, Mark Mühlau, Daniel Pelletier, Pradip M. Pattany, Margaret A. Pericak-Vance, Isabelle Cournu-Rebeix, Maria Assunta Rocca, Alex Rovira, Regina Schlaeger, Albert Saiz, Till Sprenger, Alessandro Stecco, Bernard M. J. Uitdehaag, Pablo Villoslada, Mike P. Wattjes, Howard L. Weiner, Jens Wuerfel, Claus Zimmer, Frauke Zipp, Stephen L. Hauser, Jorge R. Oksenberg, Roland G. Henry

NeuroImage, 2016