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Research Output 1997 2020

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Conference contribution
2018

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Petrov, D., Gutman, B. A., Kuznetsov, E., Ching, C. R. K., Alpert, K., Zavaliangos-Petropulu, A., Isaev, D., Turner, J. A., van Erp, T. G. M., Wang, L., Schmaal, L., Veltman, D. & Thompson, P. M., Jan 1 2018, Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Lombaert, H., Paniagua, B., Egger, B., Lüthi, M., Reuter, M. & Wachinger, C. (eds.). Springer Verlag, p. 268-276 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11167 LNCS).

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

3D shape
Quality Control
Quality control
Brain
Magnetic resonance imaging
1 Citation (Scopus)

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms

Mussabayeva, A., Kroshnin, A., Kurmukov, A., Denisova, Y., Shen, L., Cong, S., Wang, L. & Gutman, B. A., Jan 1 2018, Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Lombaert, H., Paniagua, B., Egger, B., Lüthi, M., Reuter, M. & Wachinger, C. (eds.). Springer Verlag, p. 160-168 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11167 LNCS).

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

Predictive Modeling
Image registration
Image Registration
Diffeomorphisms
Registration
2017
1 Citation (Scopus)

Machine learning for large-scale quality control of 3D shape models in neuroimaging

Petrov, D., Gutman, B. A., Yu, S. H. J., Alpert, K., Zavaliangos-Petropulu, A., Isaev, D., Turner, J. A., van Erp, T. G. M., Wang, L., Schmaal, L., Veltman, D. & Thompson, P. M., Jan 1 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 371-378 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS).

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

Neuroimaging
3D shape
Quality Control
Quality control
Learning systems
2015
8 Citations (Scopus)

SchizConnect: Virtual Data integration in neuroimaging

Ambite, J. L., Tallis, M., Alpert, K., Keator, D. B., King, M., Landis, D., Konstantinidis, G., Calhoun, V. D., Potkin, S. G., Turner, J. A. & Wang, L., Jan 1 2015, Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings. Ambite, J-L. & Naveen, A. N. (eds.). Springer Verlag, p. 37-51 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9162).

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

Neuroimaging
Data integration
Data Integration
Imaging
Imaging techniques
2 Citations (Scopus)

Terminology development towards harmonizing multiple clinical neuroimaging research repositories

Turner, J. A., Pasquerello, D., Turner, M. D., Keator, D. B., Alpert, K., King, M., Landis, D., Calhoun, V. D., Potkin, S. G., Tallis, M., Ambite, J. L. & Wang, L., Jan 1 2015, Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings. Ambite, J-L. & Naveen, A. N. (eds.). Springer Verlag, p. 104-117 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9162).

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

Neuroimaging
Terminology
Repository
Data Sharing
Term
2013
1 Citation (Scopus)

Thickness NETwork (ThickNet) features for the detection of prodromal AD

Raamana, P. R., Wang, L. & Beg, M. F., Jan 1 2013, Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Proceedings. Springer Verlag, p. 114-122 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8184 LNCS).

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

Alzheimer's Disease
Biomarkers
Labels
Graph in graph theory
Vertex of a graph
2007

Enhanced accuracy in registration of cortex functional data via large-deformation differomorphic maps

Makouei, B. N., Wang, L. & Beg, M. F., Dec 1 2007, 2007 Canadian Conference on Electrical and Computer Engineering, CCECD. p. 1159-1162 4 p. 4232953. (Canadian Conference on Electrical and Computer Engineering).

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

Software packages
Brain
Statistical methods
Magnetic Resonance Imaging
1997
11 Citations (Scopus)

Gaussian random fields on sub-manifolds for characterizing brain surfaces*

Joshi, S. C., Banerjee, A., Christensen, G. E., Csernansky, J. G., Hailer, J. W., Miller, M. I. & Wang, L., Jan 1 1997, Information Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings. Springer Verlag, p. 381-386 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1230).

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

Gaussian Random Field
Submanifolds
Brain
Hippocampus
Substructure