Stewart H Mostofsky

Professor

19962020

Research output per year

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Research Output

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Conference contribution
2019

A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces

D’Souza, N. S., Nebel, M. B., Wymbs, N., Mostofsky, S. H. & Venkataraman, A., Jan 1 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. 605-616 12 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

Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data

D’Souza, N. S., Nebel, M. B., Wymbs, N., Mostofsky, S. & Venkataraman, A., 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. 709-717 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

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

2018

A generative-discriminative basis learning framework to predict clinical severity from resting state functional MRI data

D’Souza, N. S., Nebel, M. B., Wymbs, N., Mostofsky, S. H. & Venkataraman, A., Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Davatzikos, C., Fichtinger, G., Alberola-López, C. & Schnabel, J. A. (eds.). Springer Verlag, p. 163-171 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11072 LNCS).

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

2017

A unified Bayesian approach to extract network-based functional differences from a heterogeneous patient cohort

Venkataraman, A., Wymbs, N., Nebel, M. B. & Mostofsky, S. H., 2017, Connectomics in NeuroImaging - 1st International Workshop, CNI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10511 LNCS. p. 60-69 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10511 LNCS).

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