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  • Yalin Wang
Article

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 journalArticle

6 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 journalArticle

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 journalArticle

90 Scopus citations

A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel

for the Alzheimer's Disease Neuroimaging Initiative, May 1 2015, In : Medical image analysis. 22, 1, p. 1-20 20 p.

Research output: Contribution to journalArticle

12 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 journalArticle

Open Access
6 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 journalArticle

Open Access

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 journalArticle

25 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 journalArticle

5 Scopus citations

Bflcrm: A bayesian functional linear cox regression model for predicting time to conversion to alzheimer’s disease

Alzheimer’s disease neuroimaging initiative, Dec 2015, In : Annals of Applied Statistics. 9, 4, p. 2153-2178 26 p.

Research output: Contribution to journalArticle

12 Scopus citations

Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition

Alzheimer's Disease Neuroimaging Initiative (ADNI), 2015, In : Frontiers in Neuroscience. 9, JUL, 00257.

Research output: Contribution to journalArticle

16 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 journalArticle

Open Access
1 Scopus citations

Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer's disease

for the Alzheimer's Disease Neuroimaging Initiative, 2015, In : Frontiers in Aging Neuroscience. 7, APR, 48.

Research output: Contribution to journalArticle

59 Scopus citations

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

The Alzheimer’s Disease Neuroimaging Initiative, 2020, (Accepted/In press) In : Neuroinformatics.

Research output: Contribution to journalArticle

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 journalArticle

6 Scopus citations

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 journalArticle

Open Access

Discriminating lung adenocarcinoma from lung squamous cell carcinoma using respiration-induced tumor shape changes

Lao, Y., David, J., Mirhadi, A., Lepore, N., Sandler, H., Wang, Y., Tuli, R. & Yang, W., Nov 7 2018, In : Physics in Medicine and Biology. 63, 21, 215027.

Research output: Contribution to journalArticle

1 Scopus citations

Empowering imaging biomarkers of Alzheimer's disease

Alzheimer's Disease Neuroimaging Initiative, Jan 1 2015, In : Neurobiology of Aging. 36, S1, p. S69-S80

Research output: Contribution to journalArticle

20 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 journalArticle

84 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 journalArticle

9 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 journalArticle

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 journalArticle

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 journalArticle

37 Scopus citations

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 journalArticle

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 journalArticle

28 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, In : Information processing in medical imaging : proceedings of the ... conference. 23, p. 159-170 12 p.

Research output: Contribution to journalArticle

2 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 journalArticle

11 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 journalArticle

Impact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry

Shi, J., Collignon, O., Xu, L., Wang, G., Kang, Y., Leporé, F., Lao, Y., Joshi, A. A., Leporé, N. & Wang, Y., Jul 17 2015, In : Neuroinformatics. 13, 3, p. 321-336 16 p.

Research output: Contribution to journalArticle

10 Scopus citations

Influence of APOE genotype on hippocampal atrophy over time - An N=1925 surface-based ADNI study

Li, B., Shi, J., Gutman, B. A., Baxter, L. C., Thompson, P. M., Caselli, R. J. & Wang, Y., Apr 2016, In : PloS one. 11, 4, e0152901.

Research output: Contribution to journalArticle

23 Scopus citations

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 journalArticle

1 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 journalArticle

13 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 journalArticle

46 Scopus citations

Morphological changes in subregions of hippocampus and amygdala in major depressive disorder patients

Yao, Z., Fu, Y., Wu, J., Zhang, W., Yu, Y., Zhang, Z., Wu, X., Wang, Y. & Hu, B., Jun 1 2020, In : Brain Imaging and Behavior. 14, 3, p. 653-667 15 p.

Research output: Contribution to journalArticle

4 Scopus citations

Optimal Mass Transport for Shape Matching and Comparison

Su, Z., Wang, Y., Shi, R., Zeng, W., Sun, J., Luo, F. & Gu, X., Nov 1 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 11, p. 2246-2259 14 p., 7053911.

Research output: Contribution to journalArticle

26 Scopus citations

Predicting Alzheimer's disease using combined imaging-whole genome SNP data

Kong, D., Giovanello, K. S., Wang, Y., Lin, W., Lee, E., Fan, Y., Murali Doraiswamy, P. & Zhu, H., Jun 25 2015, In : Journal of Alzheimer's Disease. 46, 3, p. 695-702 8 p.

Research output: Contribution to journalArticle

11 Scopus citations

Structural plasticity of the hippocampus and amygdala induced by electroconvulsive therapy in major depression

Joshi, S. H., Espinoza, R. T., Pirnia, T., Shi, J., Wang, Y., Ayers, B., Leaver, A., Woods, R. P. & Narr, K. L., Feb 15 2016, In : Biological Psychiatry. 79, 4, p. 282-292 11 p.

Research output: Contribution to journalArticle

134 Scopus citations

Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry

for the Alzheimer's Disease Neuroimaging Initiative, Jan 1 2015, In : NeuroImage. 104, p. 1-20 20 p.

Research output: Contribution to journalArticle

21 Scopus citations

Surface-based TBM boosts power to detect disease effects on the brain: An N=804 ADNI study

Wang, Y., Song, Y., Rajagopalan, P., An, T., Liu, K., Chou, Y. Y., Gutman, B., Toga, A. W. & Thompson, P. M., Jun 15 2011, In : NeuroImage. 56, 4, p. 1993-2010 18 p.

Research output: Contribution to journalArticle

75 Scopus citations

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus

Shi, J., Thompson, P. M., Gutman, B. & Wang, Y., Sep 2013, In : NeuroImage. 78, p. 111-134 24 p.

Research output: Contribution to journalArticle

45 Scopus citations

Teichmüller shape descriptor and its application to alzheimer's disease study

Zeng, W., Shi, R., Wang, Y., Yau, S. T. & Gu, X., Nov 2013, In : International Journal of Computer Vision. 105, 2, p. 155-170 16 p.

Research output: Contribution to journalArticle

9 Scopus citations

Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis

Lao, Y., Wang, Y., Shi, J., Ceschin, R., Nelson, M. D., Panigrahy, A. & Leporé, N., Jan 1 2016, In : Brain Structure and Function. 221, 1, p. 487-506 20 p.

Research output: Contribution to journalArticle

19 Scopus citations

Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures

the Alzheimer's Disease Neuroimaging Initiative, Feb 15 2017, In : NeuroImage. 147, p. 360-380 21 p.

Research output: Contribution to journalArticle

5 Scopus citations

Ventricular shape and relative position abnormalities in preterm neonates

Paquette, N., Shi, J., Wang, Y., Lao, Y., Ceschin, R., Nelson, M. D., Panigrahy, A. & Lepore, N., 2017, In : NeuroImage: Clinical. 15, p. 483-493 11 p.

Research output: Contribution to journalArticle

3 Scopus citations
Book

Conformal geometry: Computational algorithms and engineering applications

Jin, M., Gu, X., He, Y. & Wang, Y., Apr 10 2018, Springer International Publishing. 314 p.

Research output: Book/ReportBook

3 Scopus citations
Chapter

Surface-Based Morphometry

Shi, J. & Wang, Y., Feb 14 2015, Acquisition Methods, Methods and Modeling. Elsevier Inc., Vol. 1. p. 395-399 5 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations
Conference article
13 Scopus citations
Conference contribution

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 proceedingConference contribution

1 Scopus citations

Abnormal ventricular development in preterm neonates with visually normal MRIs

Shi, J., Wang, Y., Lao, Y., Ceschin, R., Mi, L., Nelson, M. D., Panigrahy, A. & Leporé, N., 2015, 11th International Symposium on Medical Information Processing and Analysis. Garcia-Arteaga, J. D., Brieva, J., Lepore, N. & Romero, E. (eds.). SPIE, 96810H. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9681).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 proceedingConference contribution