Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks PM Burlina, N Joshi, M Pekala, KD Pacheco, DE Freund, NM Bressler JAMA ophthalmology 135 (11), 1170-1176, 2017 | 658 | 2017 |
Deep learning based retinal OCT segmentation M Pekala, N Joshi, TYA Liu, NM Bressler, DC DeBuc, P Burlina Computers in biology and medicine 114, 103445, 2019 | 214 | 2019 |
Adversarial examples in remote sensing W Czaja, N Fendley, M Pekala, C Ratto, IJ Wang Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 79 | 2018 |
An automated images-to-graphs framework for high resolution connectomics WR Gray Roncal, DM Kleissas, JT Vogelstein, P Manavalan, K Lillaney, ... Frontiers in neuroinformatics 9, 149964, 2015 | 34 | 2015 |
VESICLE: volumetric evaluation of synaptic interfaces using computer vision at large scale WG Roncal, M Pekala, V Kaynig-Fittkau, DM Kleissas, JT Vogelstein, ... arXiv preprint arXiv:1403.3724, 2014 | 33 | 2014 |
A control system test bed for demonstration of distributed computational intelligence applied to reconfi guring heterogeneous systems SK Srivastava, DA Cartes, F Maturana, F Ferrese, M Pekala, M Zink, ... IEEE instrumentation & measurement magazine 11 (1), 30-37, 2008 | 25 | 2008 |
Model-based autonomy for the next generation of robotic spacecraft L Fesq, M Ingham, M Pekala, JV Eepoel, D Watson, B Williams Proc. 53rd Int. Astronautical Cong. Int. Astronautical Federation (IAC-02 …, 2002 | 23 | 2002 |
Compressive sensing and stretch processing HA Krichene, MJ Pekala, MD Sharp, KC Lauritzen, DG Lucarelli, IJ Wang 2011 IEEE RadarCon (RADAR), 362-367, 2011 | 21 | 2011 |
An interoperable agent-based control system for survivable shipboard automation F Maturana, R Staron, F Discenzo, D Scheidt, M Pekala, J Bracy, M Zink ASNE Reconfiguration and Survivability Symposium, 2005 | 17 | 2005 |
A hybrid approach for incorporating deep visual features and side channel information with applications to AMD detection A Horta, N Joshi, M Pekala, KD Pacheco, J Kong, N Bressler, DE Freund, ... 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 16 | 2017 |
Oct segmentation via deep learning: A review of recent work M Pekala, N Joshi, TYA Liu, NM Bressler, D Cabrera DeBuc, P Burlina Computer Vision–ACCV 2018 Workshops: 14th Asian Conference on Computer …, 2019 | 14 | 2019 |
Closed-loop superconducting materials discovery EA Pogue, A New, K McElroy, NQ Le, MJ Pekala, I McCue, E Gienger, ... npj Computational Materials 9 (1), 181, 2023 | 10 | 2023 |
Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks. JAMA Ophthalmol 135: 1170 PM Burlina, N Joshi, M Pekala, KD Pacheco, DE Freund, NM Bressler | 10 | 2017 |
Intelligent control of auxiliary ship systems D Scheidt, C McCubbin, M Pekala, S Vick, D Alger AAAI/IAAI, 913-918, 2002 | 10 | 2002 |
Verifying executable specifications of spacecraft autonomy M Pekala, G Cancro, J Moore Proceedings of the 9th International Symposium on Artificial Intelligence …, 2008 | 7 | 2008 |
A software simulation testbed to evaluate next-generation control algorithms N Rolander, M Pekala, D Scheidt Americal Society of Naval Engineers (ASNE) Automation and Control Symposium, 2007 | 6 | 2007 |
Deep Learning Models to Identify Common Phases across Material Systems from X-ray Diffraction NQ Le, M Pekala, A New, EB Gienger, C Chung, TJ Montalbano, ... The Journal of Physical Chemistry C 127 (44), 21758-21767, 2023 | 5 | 2023 |
Reconfiguring connected resource distribution systems P Rosendall, M Pekala, D Scheidt Computational Intelligence in Control and Automation (CICA), 94-101, 2011 | 4 | 2011 |
Social Relationship Identification: An Example of Social Query CP Diehl, J Montemayor, M Pekala 2009 International Conference on Computational Science and Engineering 4 …, 2009 | 4 | 2009 |
Model-based agents DH Scheidt, MJ Pekala 2007 IEEE Power Engineering Society General Meeting, 1-2, 2007 | 4 | 2007 |