Deep neural decision forests P Kontschieder, M Fiterau, A Criminisi, SR Bulo Proceedings of the IEEE international conference on computer vision, 1467-1475, 2015 | 464 | 2015 |
Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities E Halilaj, A Rajagopal, M Fiterau, JL Hicks, TJ Hastie, SL Delp Journal of biomechanics 81, 1-11, 2018 | 193 | 2018 |
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences JA Fries, P Varma, VS Chen, K Xiao, H Tejeda, P Saha, J Dunnmon, ... Nature communications 10 (1), 1-10, 2019 | 79 | 2019 |
Using supervised machine learning to classify real alerts and artifact in online multi-signal vital sign monitoring data L Chen, A Dubrawski, D Wang, M Fiterau, M Guillame-Bert, E Bose, ... Critical care medicine 44 (7), e456, 2016 | 62 | 2016 |
Pedestrian detection in thermal images using saliency maps D Ghose, SM Desai, S Bhattacharya, D Chakraborty, M Fiterau, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 52 | 2019 |
Trends and focus of machine learning applications for health research B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ... JAMA network open 2 (10), e1914051-e1914051, 2019 | 39 | 2019 |
Shortfuse: Biomedical time series representations in the presence of structured information M Fiterau, S Bhooshan, J Fries, C Bournhonesque, J Hicks, E Halilaj, ... Machine Learning for Healthcare Conference, 59-74, 2017 | 28 | 2017 |
Alzheimer's disease brain mri classification: Challenges and insights YR Fung, Z Guan, R Kumar, JY Wu, M Fiterau arXiv preprint arXiv:1906.04231, 2019 | 19 | 2019 |
Normalizing Flows Across Dimensions E Cunningham, Z Renos, A Agrawal, M Fiterau, D Sheldon arXiv preprint arXiv:2006.13070, 2020 | 17 | 2020 |
Projection retrieval for classification M Fiterau, A Dubrawski Advances in Neural Information Processing Systems 25, 2012 | 12 | 2012 |
Cardiac imaging of aortic valve area from 34 287 UK Biobank participants reveals novel genetic associations and shared genetic comorbidity with multiple disease phenotypes A Córdova-Palomera, C Tcheandjieu, JA Fries, P Varma, VS Chen, ... Circulation: Genomic and Precision Medicine 13 (6), e003014, 2020 | 9 | 2020 |
A comprehensive study of Alzheimer's disease classification using convolutional neural networks Z Guan, R Kumar, YR Fung, Y Wu, M Fiterau arXiv preprint arXiv:1904.07950, 2019 | 8 | 2019 |
Similarity-based lstms for time series representation learning in the presence of structured covariates M Fiterau, J Fries, E Halilaj, N Siranart, S Bhooshan, C Re 29th Conference on Neural Information Processing Systems 3, 2016 | 8 | 2016 |
A change of variables method for rectangular matrix-vector products E Cunningham, M Fiterau International Conference on Artificial Intelligence and Statistics, 2755-2763, 2021 | 7 | 2021 |
Mining intensive care vitals for leading indicators of adverse health events R Lonkar, A Dubrawski, M Fiterau, R Garnett Emerging Health Threats Journal 4, 11073, 2011 | 7 | 2011 |
Performance of handover for multiple users in heterogeneous wireless networks M Fiterău, O Ormond, GM Muntean 2009 IEEE 34th Conference on Local Computer Networks, 257-260, 2009 | 6 | 2009 |
Personalized student stress prediction with deep multitask network A Shaw, N Simsiri, I Deznaby, M Fiterau, T Rahaman arXiv preprint arXiv:1906.11356, 2019 | 5 | 2019 |
797: Interpretable active learning in support of clinical data annotation D Wang, M Fiterau, A Dubrawski, M Hravnak, G Clermont, M Pinsky Critical Care Medicine 42 (12), A1552, 2014 | 5 | 2014 |
Informative projection recovery for classification, clustering and regression M Fiterau, A Dubrawski 2013 12th International Conference on Machine Learning and Applications 1, 15-20, 2013 | 5 | 2013 |
Artifact patterns in continuous noninvasive monitoring of patients M Hravnak, L Chen, E Bose, M Fiterau, M Guillame-Bert, A Dubrawski, ... Intensive care medicine 39 (Suppl 2), S405, 2013 | 5 | 2013 |