Zhu, Alyssa
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1

Style Transfer Using Generative Adversarial Networks for Mu..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,
Liu, Mengting ; Maiti, Piyush ; Thomopoulos, Sophia... - p. 313-322 , 2021
 
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2

Normative Aging for an Individual's Full Brain MRI Using St..:

, In: Machine Learning in Medical Imaging; Lecture Notes in Computer Science,
Gadewar, Shruti P. ; Zhu, Alyssa H. ; Somu, Sunanda... - p. 387-395 , 2023
 
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3

Along-Tract Parameterization of White Matter Microstructure..:

, In: 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM),
Gari, Iyad Ba ; Javid, Shayan ; Zhu, Alyssa H.... - p. 1-5 , 2023
 
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4

Large-scale Normative Modeling of Brain Microstructure:

, In: 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM),
 
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5

A Comprehensive Corpus Callosum Segmentation Tool for Detec..:

, In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),
 
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6

Lifestyle Factors That Promote Brain Structural Resilience ..:

, In: Lecture Notes in Computer Science; Machine Learning in Clinical Neuroimaging,
Haddad, Elizabeth ; Javid, Shayan ; Dhinagar, Nikhil... - p. 104-114 , 2022
 
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7

A Deep Transfer Learning Framework for 3D Brain Imaging Bas..:

, In: Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology; Lecture Notes in Computer Science,
 
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8

Challenges and Opportunities in dMRI Data Harmonization:

, In: Computational Diffusion MRI; Mathematics and Visualization,
Zhu, Alyssa H. ; Moyer, Daniel C. ; Nir, Talia M... - p. 157-172 , 2019
 
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9

Contributors:

, In: Handbook of Nutrition, Diet and the Eye,
 
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10

Contributors:

, In: Lipid Signaling and Metabolism,
Abokor, Ahmed A. ; Albanesi, Daniela ; Arabolaza, Ana... - p. xiii-xvii , 2020
 
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