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• 3D pre-versus post-season comparisons of surface and relative pose of the corpus callosum in contact sport athletes

  Lao, Y., Gajawelli, N., Haas, L., Wilkins, B., Hwang, D., Tsao, S., Wang, Y., Law, M. & Leporé, N., Jan 1 2014, Medical Imaging 2014: Image Processing. SPIE, 90344E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9034).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • brain damage
  • athletes
  • Corpus Callosum
  • Sports
  • brain
  1 Scopus citations

• A concise and persistent feature to study brain resting-state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative

  for the Alzheimer's Disease Neuroimaging Initiative, Mar 2019, In: Human Brain Mapping. 40, 4, p. 1062-1081 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Neuroimaging
  • Alzheimer Disease
  • Brain
  • Cognitive Dysfunction
  • Magnetic Resonance Imaging
  7 Scopus citations

• A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data

  Zhang, W., Mi, L., Thompson, P. M. & Wang, Y., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer Verlag, p. 617-630 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11492 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain
  • Fusion
  • Framework
  • Feature Space
  • Data-driven

• A heat kernel based cortical thickness estimation algorithm

  Wang, G., Zhang, X., Su, Q., Chen, J., Wang, L., Ma, Y., Liu, Q., Xu, L., Shi, J. & Wang, Y., Sep 5 2013, Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Proceedings. p. 233-245 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8159 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Alzheimer's Disease
  • Estimation Algorithms
  • Heat Kernel
  • Brain
  • Tetrahedral Mesh
  7 Scopus citations

• A Multivariate Surface-Based Analysis of the Putamen in Premature Newborns: Regional Differences within the Ventral Striatum

  Shi, J., Wang, Y., Ceschin, R., An, X., Lao, Y., Vanderbilt, D., Nelson, M. D., Thompson, P. M., Panigrahy, A. & Leporé, N., Jul 3 2013, In: PloS one. 8, 7, e66736.

  Research output: Contribution to journal › Article › peer-review

  • Ventral Striatum
  • Putamen
  • neonates
  • Learning Disorders
  • Newborn Infant
  28 Scopus citations

• Analysis of sampling techniques for imbalanced data: An n=648 ADNI study

  Dubey, R., Zhou, J., Wang, Y., Thompson, P. M. & Ye, J., Feb 15 2014, In: NeuroImage. 87, p. 220-241 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Neuroimaging
  • Alzheimer Disease
  • Datasets
  • Support Vector Machine
  • Forests
  96 Scopus citations

• An Optimal Transportation Based Univariate Neuroimaging Index

  Mi, L., Zhang, W., Zhang, J., Fan, Y., Goradia, D., Chen, K., Reiman, E. M., Gu, X. & Wang, Y., Dec 22 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., p. 182-191 10 p. 8237291. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Positron emission tomography
  • Neuroimaging
  • Brain
  • Neurodegenerative diseases
  • Newton-Raphson method
  3 Scopus citations

• Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects

  Dong, Q., Zhang, W., Wu, J., Li, B., Schron, E. H., McMahon, T., Shi, J., Gutman, B. A., Chen, K., Baxter, L. C., Thompson, P. M., Reiman, E. M., Caselli, R. J. & Wang, Y., Jan 1 2019, In: NeuroImage: Clinical. 22, 101744.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Apolipoprotein E4
  • Apolipoproteins E
  • Alleles
  • Alzheimer Disease
  • Statistics
  8 Scopus citations

• Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline

  Dong, Q., Zhang, W., Stonnington, C. M., Wu, J., Gutman, B. A., Chen, K., Su, Y., Baxter, L. C., Thompson, P. M., Reiman, E. M., Caselli, R. J. & Wang, Y., 2020, In: NeuroImage: Clinical. 27, 102338.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Memory
  • Alzheimer Disease
  • Horns
  • Neuroimaging
  • Datasets
  1 Scopus citations

• Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis

  Wang, Y., Yuan, L., Shi, J., Greve, A., Ye, J., Toga, A. W., Reiss, A. L. & Thompson, P. M., Jul 1 2013, In: NeuroImage. 74, p. 209-230 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Statistics
  • Learning
  • Williams Syndrome
  • Machine Learning
  • Power (Psychology)
  25 Scopus citations

• Area preserving brain mapping

  Su, Z., Zeng, W., Shi, R., Wang, Y., Sun, J. & Gu, X., 2013, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 2235-2242 8 p. 6619134

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain mapping
  • Brain
  15 Scopus citations

• A T1 and DTI fused 3D corpus callosum analysis in MCI subjects with high and low cardiovascular risk profile

  Lao, Y., Nguyen, B., Tsao, S., Gajawelli, N., Law, M., Chui, H., Weiner, M., Wang, Y. & Leporé, N., 2017, In: NeuroImage: Clinical. 14, p. 298-307 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Corpus Callosum
  • Cognitive Dysfunction
  • Alzheimer Disease
  • Vascular Diseases
  • Blood Vessels
  5 Scopus citations

• A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks

  Farazi, M., Zhan, L., Lepore, N., Thompson, P. M. & Wang, Y., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 986-990 5 p. 9098716. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain
  • Costs and Cost Analysis
  • Costs
  • Electric network analysis
  • Agglomeration

• Automatic pathology classification using a single feature machine learning support - Vector machines

  Yepes-Calderon, F., Pedregosa, F., Thirion, B., Wang, Y. & Lepore, N., Jan 1 2014, Medical Imaging 2014: Computer-Aided Diagnosis. SPIE, 903524. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9035).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • machine learning
  • Support Vector Machine
  • pathology
  • Machine Learning
  • Pathology
  5 Scopus citations

• Bayesian automated cortical segmentation for neonatal MRI

  Chou, Z., Paquette, N., Ganesh, B., Wang, Y., Ceschin, R., Nelson, M. D., Macyszyn, L., Gaonkar, B., Panigrahy, A. & Lepore, N., 2017, 13th International Conference on Medical Information Processing and Analysis. Lepore, N., Brieva, J., Garcia, J. D. & Romero, E. (eds.). SPIE, 105720R. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10572).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Segmentation
  • Magnetic resonance imaging
  • brain
  • Brain
  • pilot training

• Bi-level multi-source learning for heterogeneous block-wise missing data

  Alzheimer's Disease Neuroimaging Initiative, Nov 5 2014, In: NeuroImage. 102, P1, p. 192-206 15 p.

  Research output: Contribution to journal › Review article › peer-review

  • Information Storage and Retrieval
  • Learning
  • Neuroimaging
  • Alzheimer Disease
  • Proteomics
  38 Scopus citations

• Central sulcus development in early childhood

  Gajawelli, N., Deoni, S., Dirks, H., Dean, D., O'Muircheartaigh, J., Wang, Y., Nelson, M. D., Coulon, O. & Lepore, N., Sep 13 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 161-164 4 p. 8036787. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain
  • Pediatrics
  • Atlases
  • Parameterization
  • Magnetic resonance

• Characterizing human retinotopic mapping with conformal geometry: A preliminary study

  Ta, D., Shi, J., Barton, B., Brewer, A., Lu, Z. L. & Wang, Y., Jan 1 2014, Medical Imaging 2014: Image Processing. SPIE, 90342A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9034).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • visual fields
  • Conformal mapping
  • Visual Fields
  • Magnetic Resonance Imaging
  • Visual Cortex
  2 Scopus citations

• Combined morphologic and metabolic pipeline for Positron emission tomography/computed tomography based radiotherapy response evaluation in locally advanced pancreatic adenocarcinoma

  Lao, Y., David, J., Torosian, A., Placencio, V., Wang, Y., Hendifar, A., Yang, W. & Tuli, R., Jan 2019, In: Physics and Imaging in Radiation Oncology. 9, p. 28-34 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Positron Emission Tomography Computed Tomography
  • radiation therapy
  • tumors
  • positrons
  • fusion
  1 Scopus citations

• Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study

  The Alzheimer’s Disease Neuroimaging Initiative, Oct 1 2020, In: Neuroinformatics. 18, 4, p. 531-548 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Biomarkers
  • Neurodegenerative diseases
  • Neuroimaging
  • Alzheimer Disease
  • Magnetic resonance
  1 Scopus citations

• Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis

  Shi, J., Zhang, W., Tang, M., Caselli, R. J. & Wang, Y., Jan 1 2017, In: Medical image analysis. 35, p. 517-529 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Brain
  • Alzheimer Disease
  • Neuroimaging
  • Biomarkers
  • Magnetic Resonance Imaging
  6 Scopus citations

• Continually Modeling Alzheimer’s Disease Progression via Deep Multi-order Preserving Weight Consolidation

  Zhang, J. & Wang, Y., Jan 1 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 850-859 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11765 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Alzheimer's Disease
  • Consolidation
  • Progression
  • Modeling
  • Imaging
  3 Scopus citations

• Contribution to speech development of the right anterior putamen revealed with multivariate tensor-based morphometry

  Vlasova, R., Wang, Y., Dirks, H., Dean, D., O'Muircheartaigh, J., Gonzalez, S., Nguyen, B. K., Nelson, M. D., Deoni, S. & Lepore, N., Sep 13 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3085-3087 3 p. 8037509. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Jacobian matrices
  • Putamen
  • Tensors
  • Age Groups
  1 Scopus citations

• Cranial thickness changes in early childhood

  Gajawelli, N., Deoni, S., Shi, J., Dirks, H., Linguraru, M. G., Nelson, M. D., Wang, Y. & Lepore, N., 2017, 13th International Conference on Medical Information Processing and Analysis. Lepore, N., Brieva, J., Garcia, J. D. & Romero, E. (eds.). SPIE, 105720O. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10572).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain
  • brain
  • Magnetic Resonance Imaging
  • Imaging techniques
  • Disorder

• Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories

  Singh, S., Srivastava, A., Mi, L., Caselli, R. J., Chen, K., Goradia, D., Reiman, E. M. & Wang, Y., 2017, 13th International Conference on Medical Information Processing and Analysis. Lepore, N., Brieva, J., Garcia, J. D. & Romero, E. (eds.). SPIE, 105720J. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10572).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Positron Emission Tomography
  • Alzheimer's Disease
  • Positron emission tomography
  • learning
  • Deep learning
  12 Scopus citations

• Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity

  Zhang, W. & Wang, Y., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1924-1928 5 p. 9098624. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain
  • Learning
  • Joints
  • Multimodal Imaging
  • Autistic Disorder

• Default Mode Network Analysis of APOE Genotype in Cognitively Unimpaired Subjects Based on Persistent Homology

  for the Alzheimer’s Disease Neuroimaging Initiative, Jun 30 2020, In: Frontiers in Aging Neuroscience. 12, 188.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Apolipoproteins E
  • Genotype
  • Apolipoprotein E4
  • Alleles
  • Brain

• Diffeomorphic Registration for Retinotopic Mapping Via Quasiconformal Mapping

  Tu, Y., Ta, D., David Gu, X., Lu, Z. L. & Wang, Y., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 687-691 5 p. 9098386. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Magnetic Resonance Imaging
  • Neurophysiology
  • Signal-To-Noise Ratio
  • Atlases
  • Numerical methods

• Diffeomorphic Smoothing for Retinotopic Mapping

  Tu, Y., Tal, D., Lu, Z. L. & Wang, Y., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 534-538 5 p. 9098316. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Magnetic Resonance Imaging
  • Retina
  • Neurons
  • Neurophysiology
  • Numerical methods

• Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding

  Zhang, J., Fan, Y., Li, Q., Thompson, P. M., Ye, J. & Wang, Y., Jun 15 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 446-450 5 p. 7950557. (Proceedings - International Symposium on Biomedical Imaging).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Alzheimer Disease
  • Support Vector Machine
  • Magnetic resonance
  • Support vector machines
  • Imaging techniques
  6 Scopus citations

• Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance

  Zhang, W., Shi, J., Yu, J., Zhan, L., Thompson, P. M. & Wang, Y., Jun 15 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 520-524 5 p. 7950574. (Proceedings - International Symposium on Biomedical Imaging).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Magnetic resonance
  • Gray Matter
  • White Matter
  • Magnetic Resonance Spectroscopy
  • Alzheimer Disease
  3 Scopus citations

• ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide

  Thompson, P. M., Andreassen, O. A., Arias-Vasquez, A., Bearden, C. E., Boedhoe, P. S., Brouwer, R. M., Buckner, R. L., Buitelaar, J. K., Bulayeva, K. B., Cannon, D. M., Cohen, R. A., Conrod, P. J., Dale, A. M., Deary, I. J., Dennis, E. L., de Reus, M. A., Desrivieres, S., Dima, D., Donohoe, G., Fisher, S. E. & 51 others, Fouche, J. P., Francks, C., Frangou, S., Franke, B., Ganjgahi, H., Garavan, H., Glahn, D. C., Grabe, H. J., Guadalupe, T., Gutman, B. A., Hashimoto, R., Hibar, D. P., Holland, D., Hoogman, M., Pol, H. E. H., Hosten, N., Jahanshad, N., Kelly, S., Kochunov, P., Kremen, W. S., Lee, P. H., Mackey, S., Martin, N. G., Mazoyer, B., McDonald, C., Medland, S. E., Morey, R. A., Nichols, T. E., Paus, T., Pausova, Z., Schmaal, L., Schumann, G., Shen, L., Sisodiya, S. M., Smit, D. J. A., Smoller, J. W., Stein, D. J., Stein, J. L., Toro, R., Turner, J. A., van den Heuvel, M. P., van den Heuvel, O. L., van Erp, T. G. M., van Rooij, D., Veltman, D. J., Walter, H., Wang, Y., Wardlaw, J. M., Wang, Y., Wright, M. J. & Ye, J., Jan 15 2017, In: NeuroImage. 145, p. 389-408 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Brain
  • Neuroimaging
  • Genetic Loci
  • Brain Diseases
  • Schizophrenia
  88 Scopus citations

• Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso

  Tsao, S., Gajawelli, N., Zhou, J., Shi, J., Ye, J., Wang, Y. & Lepore, N., 2014, Medical Imaging 2014: Image Processing. SPIE, 90342L. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9034).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • progressions
  • Tensors
  • Disease Progression
  • Alzheimer Disease
  • tensors
  2 Scopus citations

• Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry

  Tsao, S., Gajawelli, N., Zhou, J., Shi, J., Ye, J., Wang, Y. & Leporé, N., Jul 2017, In: Brain and Behavior. 7, 7, e00733.

  Research output: Contribution to journal › Article › peer-review

  • Disease Progression
  • Hippocampus
  • Alzheimer Disease
  • Machine Learning
  • Apolipoproteins E
  10 Scopus citations

• FGWAS: Functional genome wide association analysis

  the Alzheimer's Disease Neuroimaging Initiative, Oct 1 2017, In: NeuroImage. 159, p. 107-121 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Genome-Wide Association Study
  • Principal Component Analysis
  • Power (Psychology)
  • Neuroimaging
  • Neurodegenerative Diseases
  16 Scopus citations

• Functional and structural differences in the hippocampus associated with memory deficits in adult survivors of acute lymphoblastic leukemia

  Monje, M., Thomason, M. E., Rigolo, L., Wang, Y., Waber, D. P., Sallan, S. E. & Golby, A. J., Feb 2013, In: Pediatric Blood and Cancer. 60, 2, p. 293-300 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Memory Disorders
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma
  • Hippocampus
  • Memory
  • Episodic Memory
  33 Scopus citations

• Genetic influence of apolipoprotein E4 genotype on hippocampal morphometry: An N = 725 surface-based Alzheimer's disease neuroimaging initiative study

  Shi, J., Leporé, N., Gutman, B. A., Thompson, P. M., Baxter, L. C., Caselli, R. J. & Wang, Y., Aug 2014, In: Human Brain Mapping. 35, 8, p. 3903-3918 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Apolipoprotein E4
  • Neuroimaging
  • Apolipoproteins E
  • Alzheimer Disease
  • Genotype
  39 Scopus citations

• Geometric Brain Surface Network for Brain Cortical Parcellation

  Zhang, W. & Wang, Y., Jan 1 2019, Graph Learning in Medical Imaging - 1st International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings. Zhang, D., Zhou, L., Jie, B. & Liu, M. (eds.). Springer, p. 120-129 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11849 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain
  • Atlas
  • Vertex of a graph
  • Structural Change
  • Registration

• Global and regional alterations of hippocampal anatomy in long-term meditation practitioners

  Luders, E., Thompson, P. M., Kurth, F., Hong, J. Y., Phillips, O. R., Wang, Y., Gutman, B. A., Chou, Y. Y., Narr, K. L. & Toga, A. W., Dec 2013, In: Human Brain Mapping. 34, 12, p. 3369-3375 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Meditation
  • Anatomy
  • Hippocampus
  • Functional Laterality
  • Brain
  60 Scopus citations

• Hippocampal structure and human cognition: Key role of spatial processing and evidence supporting the efficiency hypothesis in females

  Colom, R., Stein, J. L., Rajagopalan, P., Martínez, K., Hermel, D., Wang, Y., Álvarez-Linera, J., Burgaleta, M., Quiroga, M. Á., Shih, P. C. & Thompson, P. M., Mar 2013, In: Intelligence. 41, 2, p. 129-140 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Spatial Processing
  • Efficiency
  • Intelligence
  • Cognition
  • Processing Speed
  28 Scopus citations

• Human brain mapping with conformal geometry and multivariate tensor-based morphometry

  Shi, J., Thompson, P. M. & Wang, Y., Oct 11 2011, Multimodal Brain Image Analysis - First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Proceedings. p. 126-134 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7012 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Morphometry
  • Brain mapping
  • Conformal Geometry
  • Brain
  • Tensors
  2 Scopus citations

• Hyperbolic harmonic brain surface registration with curvature-based landmark matching

  Shi, R., Zeng, W., Su, Z., Wang, Y., Damasio, H., Lu, Z., Yau, S. T. & Gu, X., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7917 LNCS. p. 159-170 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7917 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Landmarks
  • Registration
  • Brain
  • Harmonic
  • Brain mapping

• Hyperbolic harmonic brain surface registration with curvature-based landmark matching.

  Shi, R., Zeng, W., Su, Z., Wang, Y., Damasio, H., Lu, Z., Yau, S. T. & Gu, X., 2013, In: Information processing in medical imaging : proceedings of the ... conference. 23, p. 159-170 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Brain Mapping
  • Brain
  • Hot Temperature
  2 Scopus citations

• Hyperbolic harmonic mapping for constrained brain surface registration

  Shi, R., Zeng, W., Su, Z., Damasio, H., Lu, Z., Wang, Y., Yau, S. T. & Gu, X., 2013, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 2531-2538 8 p. 6619171

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain
  • Medical imaging
  • Computer graphics
  • Biometrics
  • Topology
  18 Scopus citations

• Hyperbolic Harmonic Mapping for Surface Registration

  Shi, R., Zeng, W., Su, Z., Jiang, J., Damasio, H., Lu, Z., Wang, Y., Yau, S. T. & Gu, X., May 1 2017, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 39, 5, p. 965-980 16 p., 7469384.

  Research output: Contribution to journal › Article › peer-review

  • Registration
  • Harmonic Mapping
  • Harmonic Maps
  • Medical Imaging
  • Landmarks
  13 Scopus citations

• Hyperbolic Wasserstein Distance for Shape Indexing

  Shi, J. & Wang, Y., Jun 1 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 6, p. 1362-1376 15 p., 8637773.

  Research output: Contribution to journal › Article › peer-review

  • Wasserstein Distance
  • Indexing
  • Shape Space
  • Power Diagram
  • 3D shape

• Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images

  Alzheimer’s disease neuroimaging initiative, 2020, In: Journal of Alzheimer's Disease. 75, 3, p. 971-992 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Neuroimaging
  • Cognitive Dysfunction
  • Alzheimer Disease
  • Learning
  • Mental Status and Dementia Tests
  1 Scopus citations

• Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and Teichmüller Map

  Yu, X., Lei, N., Wang, Y. & Gu, X., Dec 22 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., p. 5400-5408 9 p. 8237838. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Medical imaging
  • Triangulation
  • Textures
  • Machine learning
  3 Scopus citations

• Mapping the basal ganglia alterations in children chronically exposed to manganese

  Lao, Y., Dion, L. A., Gilbert, G., Bouchard, M. F., Rocha, G., Wang, Y., Leporé, N. & Saint-Amour, D., Feb 3 2017, In: Scientific reports. 7, 41804.

  Research output: Contribution to journal › Article › peer-review

  • Manganese
  • Basal Ganglia
  • Child
  • Brain
  • Magnetic Resonance Imaging
  14 Scopus citations

• Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features

  Gutman, B. A., Hua, X., Rajagopalan, P., Chou, Y. Y., Wang, Y., Yanovsky, I., Toga, A. W., Jack, C. R., Weiner, M. W. & Thompson, P. M., Apr 15 2013, In: NeuroImage. 70, p. 386-401 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Discriminant Analysis
  • Power (Psychology)
  • Efficiency
  • Disease Progression
  • Alzheimer Disease
  47 Scopus citations