Research output per year
Research output per year
Search results
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2021
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes
D’Souza, N. S., Nebel, M. B., Crocetti, D., Robinson, J., Mostofsky, S. & Venkataraman, A., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 625-636 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12907 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2020
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism
D’Souza, N. S., Nebel, M. B., Crocetti, D., Wymbs, N., Robinson, J., Mostofsky, S. & Venkataraman, A., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 437-447 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
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. & Venkataraman, A., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Gee, J. C., Yushkevich, P. A., Chung, A. C. S. & Bao, S. (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 proceeding › Conference contribution
1 Scopus citations -
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., 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 Science and Business Media Deutschland GmbH, 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 proceeding › Conference contribution
2 Scopus citations -
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. & Venkataraman, A., 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 proceeding › Conference contribution
4 Scopus citations -
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., 2017, Connectomics in NeuroImaging - 1st International Workshop, CNI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Bonilha, L., Wu, G., Laurienti, P. & Munsell, B. C. (eds.). Springer Verlag, 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 proceeding › Conference contribution
1 Scopus citations