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Haochang Shou
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2020 – today
- 2024
- [j12]Andrew A. Chen, Kelly Clark, Blake E. Dewey, Anna Duval, Nicole Pellegrini, Govind Nair, Youmna Jalkh, Samar Khalil, Jon Zurawski, Peter A. Calabresi, Daniel S. Reich, Rohit Bakshi, Haochang Shou, Russell T. Shinohara:
PARE: A framework for removal of confounding effects from any distance-based dimension reduction method. PLoS Comput. Biol. 20(7): 1012241 (2024) - [c3]Ioanna Skampardoni, Junhao Wen, Güray Erus, Haochang Shou, Konstantina S. Nikita, Christos Davatzikos:
Mutually-Constrained Cross-Sectional and Longitudinal Non-Negative Matrix Factorization: Application to Modeling Brain Aging Trajectories. ISBI 2024: 1-5 - 2023
- [j11]Zhen Zhou, Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen, Jimit Doshi, Güray Erus, Elizabeth Mamourian, R. Nick Bryan, David A. Wolk, Lori L. Beason-Held, Susan M. Resnick, Theodore D. Satterthwaite, Christos Davatzikos, Haochang Shou, Yong Fan:
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage 269: 119911 (2023) - [j10]Fengling Hu, Andrew A. Chen, Hannah Horng, Vishnu Bashyam, Christos Davatzikos, Aaron Alexander-Bloch, Mingyao Li, Haochang Shou, Theodore D. Satterthwaite, Meichen Yu, Russell T. Shinohara:
Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. NeuroImage 274: 120125 (2023) - [c2]Oliver Y. Chén, Duy Thanh Vu, Gilbert Greub, Hengyi Cao, Xingru He, Yannick Muller, Constantinos Petrovas, Haochang Shou, Viet-Dung Nguyen, Bangdong Zhi, Laurent Perez, Jean Louis Raisaro, Guy Nagels, Maarten De Vos, Wei He, Raphael Gottardo, Palie Smart, Marcus Munafò, Giuseppe Pantaleo:
The Statistical Analysis of the Varying Brain. SSP 2023: 700-704 - [i5]Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR abs/2301.10772 (2023) - 2022
- [j9]Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic B. Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva M. Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Romero-Garcia Rafael, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Daniel H. Wolf, Christos Davatzikos:
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75: 102304 (2022) - [j8]Andrew A. Chen, Chongliang Luo, Yong Chen, Russell T. Shinohara, Haochang Shou:
Privacy-preserving harmonization via distributed ComBat. NeuroImage 248: 118822 (2022) - [j7]Andrew A. Chen, Dhivya Srinivasan, Raymond Pomponio, Yong Fan, Ilya M. Nasrallah, Susan M. Resnick, Lori L. Beason-Held, Christos Davatzikos, Theodore D. Satterthwaite, Dani S. Bassett, Russell T. Shinohara, Haochang Shou:
Harmonizing functional connectivity reduces scanner effects in community detection. NeuroImage 256: 119198 (2022) - [c1]Zhen Zhou, Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Haochang Shou, Christos Davatzikos, Yong Fan:
Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - 2021
- [j6]Matthew T. MacLean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey:
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. J. Am. Medical Informatics Assoc. 28(6): 1178-1187 (2021) - [i4]Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Güray Erus, Ahmed Abdulkadir, Susan M. Resnick, David A. Wolk, Christos Davatzikos:
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. CoRR abs/2102.12582 (2021) - [i3]Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk:
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR abs/2109.03723 (2021) - [i2]Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos:
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR abs/2110.11347 (2021) - 2020
- [j5]Dhivya Srinivasan, Güray Erus, Jimit Doshi, David A. Wolk, Haochang Shou, Mohamad Habes, Christos Davatzikos:
A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies. NeuroImage 223: 117248 (2020) - [i1]Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR abs/2010.05355 (2020)
2010 – 2019
- 2018
- [j4]Aaron Alexander-Bloch, Haochang Shou, Siyuan Liu, Theodore D. Satterthwaite, David C. Glahn, Russell T. Shinohara, Simon N. Vandekar, Armin Raznahan:
On testing for spatial correspondence between maps of human brain structure and function. NeuroImage 178: 540-551 (2018) - 2017
- [j3]Eduardo Barbosa Jr., Scott Simpson, James C. Lee, Nicholas J. Tustison, James C. Gee, Haochang Shou:
Multivariate modeling using quantitative CT metrics may improve accuracy of diagnosis of bronchiolitis obliterans syndrome after lung transplantation. Comput. Biol. Medicine 89: 275-281 (2017) - 2015
- [j2]Amanda F. Mejia, Mary Beth Nebel, Haochang Shou, Ciprian M. Crainiceanu, James J. Pekar, Stewart H. Mostofsky, Brian Caffo, Martin A. Lindquist:
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. NeuroImage 112: 14-29 (2015) - 2014
- [j1]Haochang Shou, Ani Eloyan, Mary Beth Nebel, Amanda F. Mejia, James J. Pekar, Stewart H. Mostofsky, Brian S. Caffo, Martin A. Lindquist, Ciprian M. Crainiceanu:
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. NeuroImage 102: 938-944 (2014)
Coauthor Index
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