Alex D. Leow
Orcid: 0000-0002-5660-8651
According to our database1,
Alex D. Leow
authored at least 90 papers
between 2004 and 2024.
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Bibliography
2024
npj Digit. Medicine, 2024
2023
A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity.
Sensors, February, 2023
Signed graph representation learning for functional-to-structural brain network mapping.
Medical Image Anal., 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health: Smartphone Keyboard and Accelerometer as Window into Brain Health.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
ACM Trans. Intell. Syst. Technol., 2022
Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics.
Pervasive Mob. Comput., 2022
Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory.
npj Digit. Medicine, 2022
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
CoRR, 2022
CoRR, 2022
Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
IEEE Trans. Mob. Comput., 2021
NeuroImage, 2021
2020
Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study.
J. Am. Medical Informatics Assoc., 2020
A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the AMIA 2020, 2020
2019
Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety.
NeuroImage, 2019
TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy.
Proceedings of the 30th IEEE Visualization Conference, 2019
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the AMIA 2019, 2019
2018
Disrupted topology of the resting state structural connectome in middle-aged <i>APOE</i> ε4 carriers.
NeuroImage, 2018
Thought Chart: tracking the thought with manifold learning during emotion regulation.
Brain Informatics, 2018
Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Cross-diagnostic Prediction of Dimensional Psychiatric Phenotypes in Anorexia Nervosa and Body Dysmorphic Disorder Using Multimodal Neuroimaging and Psychometric Data.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Intrinsic Geometry Visualization for the Interactive Analysis of Brain Connectivity Patterns.
Proceedings of the Visualization and Data Analysis 2016, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Thought Chart: Tracking Dynamic EEG Brain Connectivity with Unsupervised Manifold Learning.
Proceedings of the Brain Informatics and Health - International Conference, 2016
2015
BRAINtrinsic: A Virtual Reality-Compatible Tool for Exploring Intrinsic Topologies of the Human Brain Connectome.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
2013
Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials.
NeuroImage, 2013
Frontiers Neuroinformatics, 2013
Fractional Order Generalization of Anomalous Diffusion as a Multidimensional Extension of the Transmission Line Equation.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2013
Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Hierarchical Structural Mapping for Globally Optimized Estimation of Functional Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Measuring inter-hemispheric integration in bipolar affective disorder using brain network analyses and HARDI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry.
NeuroImage, 2011
Differential information content in staggered multiple shell hardi measured by the tensor distribution function.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease.
NeuroImage, 2010
Mapping Alzheimer's disease progression in 1309 MRI scans: Power estimates for different inter-scan intervals.
NeuroImage, 2010
2009
Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition.
NeuroImage, 2009
Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: An ADNI study of 515 subjects.
NeuroImage, 2009
Comparing registration methods for mapping brain change using tensor-based morphometry.
Medical Image Anal., 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Analyzing Multi-Fiber Reconstruction in High Angular Resolution Diffusion Imaging Using the Tensor Distribution Function.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
White Matter Integrity Measured by Fractional Anisotropy Correlates Poorly with Actual Individual Fiber Anisotropy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Segmenting Crossing Fiber Geometries Using Fluid Mechanics Tensor Distribution Function Tractography.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
IEEE Trans. Medical Imaging, 2008
Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: An MRI study of 676 AD, MCI, and normal subjects.
NeuroImage, 2008
3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry.
NeuroImage, 2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Validating unbiased registration on longitudinal MRI scans from the Alzheimer'S Disease neuroimaging initiative (ADNI).
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Asymmetric and symmetric unbiased image registration: Statistical assessment of performance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
Proceedings of the Computational Imaging VI, 2008
2007
Statistical Properties of Jacobian Maps and the Realization of Unbiased Large-Deformation Nonlinear Image Registration.
IEEE Trans. Medical Imaging, 2007
3D pattern of brain abnormalities in Fragile X syndrome visualized using tensor-based morphometry.
NeuroImage, 2007
Log-unbiased large-deformation image registration.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007
Quantifying Deformation Using Information Theory: The Log-Unbiased Nonlinear Registration.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
Longitudinal stability of MRI for mapping brain change using tensor-based morphometry.
NeuroImage, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2005
Brain structural mapping using a novel hybrid implicit/explicit framework based on the level-set method.
NeuroImage, 2005
Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties.
Proceedings of the Information Processing in Medical Imaging, 2005
2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004