D’Souza, N.S., Nebel, M.B., Crocetti, D., Wymbs, N., Robinson, J., Mostofsky, S., and Venkataraman, A. A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. Retrieved from https://par.nsf.gov/biblio/10293154. Medical Image Computing and Computer Assisted Intervention LNCS 12267.

D’Souza, N.S., Nebel, M.B., Crocetti, D., Wymbs, N., Robinson, J., Mostofsky, S., & Venkataraman, A. A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. Medical Image Computing and Computer Assisted Intervention, LNCS 12267 (). Retrieved from https://par.nsf.gov/biblio/10293154.

D’Souza, N.S., Nebel, M.B., Crocetti, D., Wymbs, N., Robinson, J., Mostofsky, S., and Venkataraman, A. "A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism". Medical Image Computing and Computer Assisted Intervention LNCS 12267 (). Country unknown/Code not available. https://par.nsf.gov/biblio/10293154.

@article{osti_10293154,
place = {Country unknown/Code not available}, title = {A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism}, url = {https://par.nsf.gov/biblio/10293154}, abstractNote = {}, journal = {Medical Image Computing and Computer Assisted Intervention}, volume = {LNCS 12267}, author = {D’Souza, N.S. and Nebel, M.B. and Crocetti, D. and Wymbs, N. and Robinson, J. and Mostofsky, S. and Venkataraman, A.}, }