P. Burlina, et al. “Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks.” JAMA ophthalmology, 2017.
P. Burlina, “MRCNN: A Stateful Fast R-CNN”, Int. Conference on Pattern Recognition, 2016.
P. Burlina, S. Billings, N. Joshi and J. Albayda, “Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods”, PloS ONE, 2017.
P. Burlina, K.D. Pacheco, N. Joshi, D.E. Freund, N.M. Bressler, “Comparing Human and Machine Performance for Grading AMD: A Study in Using Universal Features and Transfer Learning”, Computers in Biology and Medicine, 2017.
J. Markowitz, A. Schmidt, P. Burlina, I-J. Wang, “Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning”, arXiv preprint arXiv:1712.03151, 2017.
K Katyal, E. W. Staley, M. S. Johannes, I-J. Wang, A. Reiter, P. Burlina, “In-Hand Robotic Manipulation via Deep Reinforcement Learning “, Proceedings of the Workshop on Deep Learning for Action and Interaction, in Conjunction with Annual Conference on Neural Information Processing Systems, NIPS 2016.
K Katyal, I-J. Wang, P. Burlina, “Leveraging deep reinforcement learning for reaching robotic tasks”, IEEE CVPR workshop on deep learning for robotic applications, 2017.
J. Markowitz, A. Schmidt, P. Burlina, I-J. Wang, “Hierarchical Zero-Shot Classification with Convolutional Neural Network Features and Semantic Attribute Learning”, Machine Vision and Applications, 2017.
P. Burlina, A. Schmidt, I.J. Wang, “Zero Shot Deep Learning from Semantic Attributes”, IEEE Int. Conference on Machine Learning and Applications, 2015
P. Burlina, D.E. Freund, N Joshi, Y Wolfson, N.M. Bressler, “Detection of Age-Related Macular Degeneration via Deep Learning”, Int. Symp. Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 184-188, 2016.
P. Burlina, D.E. Freund, S. Kankanahalli, N. Joshi, Y. Wolfson, N.M. Bressler, “Automated Age Related Macular Degeneration Diagnostics via Pre-Trained Deep Learning”, NIH-IEEE 2015 Strategic Conference on Healthcare Innovations and Point-of-Care Technologies for Precision Medicine, 2015.
D. Rollend, P. Rosendall, S. Billings, P. Burlina, K. Katyal, K. Wolfe, “Face Detection and Object Recognition for a Retinal Prosthesis”, Asian Computer Vision Conf. Workshop Assistive Vision, 2016.