M. Duda, D. Koutra, C. Sripada. Validating Dynamicity in Resting State fMRI with Activation-Informed Temporal Segmentation. (In Review). Preprint.
S.K. Sieberts, J. Schaff, M. Duda, B.A. Pataki, M. Sun, et al. Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge. NPJ Digital Medicine (In Revision).
Y. Yan, J. Zhu, M. Duda, E. Solarz, C. Sripada and D. Koutra. 2019. Interpretable Neural Network-based Classification of Limited, Noisy Brain Data. In KDD '19: The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 4-8, 2019, Anchorage, AK, USA. ACM, New York, NY, USA.
M. Duda, H. Zhang, H. Li, D.P. Wall, M. Burmeister, Y. Guan. Brain-specific functional relationship networks inform autism spectrum disorder gene prediction. Translational Psychiatry 8.1, 56 (2018).
S. Levy, M. Duda, N. Haber, D.P. Wall. Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism. Molecular Autism 8.1, 65 (2017).
S. Ansari, N. Farzeneh, M. Duda, K. Horan, H.B. Andersson, et al. A Review of Automated Methods for Detection of Myocardial Ischemia and Infarction using Electrocardiogram and Electronic Health Record. IEEE Reviews in Biomedical Engineering (2017) doi: 10.1109/RBME.2017.2757953.
M. Duda, J. Daniels, N. Haber, D.P. Wall. Crowdsourced validation of a machine learning classification system for autism and ADHD. Translational Psychiatry 7(5), e1133 (2017).
M. Duda, J. Daniels, D.P. Wall. Clinical Evaluation of a Novel and Mobile Autism Risk Assessment. Journal of Autism and Developmental Disorders 46, 1953-1961 (2016).
M. Duda, R. Ma, N. Haber, D.P. Wall. Use of machine learning for behavioral distinction of autism and ADHD. Translational Psychiatry 6, e732 (2016).
M. Duda, D.P. Wall. Rising interdisciplinary collaborations refine our understanding of autisms and give hope to more personalized solutions. Personalized Medicine 12(4), 359-369 (2015).
J.A. Kosmicki, V. Sochat, M. Duda, D.P. Wall. Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning. Translational Psychiatry 5, e514 (2015).
M. Duda, J.A. Kosmicki, D.P. Wall. Testing the accuracy of an observation-based classifier for rapid detection of autism risk. Translational Psychiatry 4, e424 (2014).
V.A. Fusaro, J. Daniels, M. Duda, T.F. DeLuca, O. D’Angelo, et al. The potential of accelerating early detection of autism through content analysis of YouTube videos. PLoS ONE 9(4), e93533 (2014).
M. Duda, T. Nelson, D.P. Wall. Cross-pollination of research findings, although uncommon, may accelerate discovery of human disease genes. BMC Medical Genetics 13, 114 (2012).