Michael J. Pekala

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 10

Top Topics

Optical Coherence Tomography

Generative Model

Visual Features

Top Venues

Frontiers Neuroinformatics

Publications

Alexander New, Michael J. Pekala, Elizabeth A. Pogue, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles
Evaluating the diversity and utility of materials proposed by generative models. CoRR (2023)
Alexander New, Michael J. Pekala, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles
Curvature-informed multi-task learning for graph networks. CoRR (2022)
Wojciech Czaja, Weilin Li, Yiran Li, Michael J. Pekala
Maximal function pooling with applications. CoRR (2021)
Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
Deep learning based retinal OCT segmentation. Comput. Biol. Medicine 114 (2019)
Michael J. Pekala, Neil Joshi, T. Y. Alvin Liu, Neil M. Bressler, Delia Cabrera DeBuc, Philippe Burlina
OCT Segmentation via Deep Learning: A Review of Recent Work. ACCV Workshops (2018)
Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang
Adversarial examples in remote sensing. SIGSPATIAL/GIS (2018)
Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang
Adversarial Examples in Remote Sensing. CoRR (2018)
Michael J. Pekala, Neil Joshi, David E. Freund, Neil M. Bressler, Delia Cabrera DeBuc, Philippe M. Burlina
Deep Learning based Retinal OCT Segmentation. CoRR (2018)
Arnaldo Horta, Neil Joshi, Michael J. Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. ICMLA (2017)
William R. Gray Roncal, Michael J. Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal C. Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. BMVC (2015)
William R. Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael J. Pekala, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager
An Automated Images-to-Graphs Framework for High Resolution Connectomics. Frontiers Neuroinformatics 9 (2014)
Michael J. Pekala, I-Jeng Wang, Ashley J. Llorens
Conformal predictors for online track classification. ICASSP (2014)
Michael J. Pekala, Ashley J. Llorens, I-Jeng Wang
Local distance metric learning for efficient conformal predictors. MLSP (2012)
M. Sharp, Michael J. Pekala, Jeffrey A. Nanzer, I.-J. Wang, D. Lucarelli, K. Lauritzen
Exploiting adaptive beamforming for compressive measurements. SAM (2012)
Michael J. Pekala, Ashley J. Llorens
Online learning with minority class resampling. ICASSP (2011)
Paul Rosendall, Michael J. Pekala, David H. Scheidt
Reconfiguring connected resource distribution systems. CICA (2011)
Christopher P. Diehl, Jaime Montemayor, Michael J. Pekala
Social Relationship Identification: An Example of Social Query. CSE (4) (2009)
Jaime Montemayor, Christopher P. Diehl, Michael J. Pekala, David Patrone
Interactive poster - SocialRank: An ego- and time-centric workflow for relationship identification. IEEE VAST (2008)
Francisco P. Maturana, Raymond J. Staron, Fred Discenzo, Kenwood H. Hall, Pavel Tichý, Petr Slechta, Vladimír Marík, David H. Scheidt, Michael J. Pekala, John Bracy
Integrating Multi-Agent Systems: A Case Study. BASYS (2004)
David H. Scheidt, Christopher McCubbin, Michael J. Pekala, Shon Vick, David Alger
Intelligent Control of Auxiliary Ship Systems. AAAI/IAAI (2002)