Jason Deglint

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 7

Top Topics

Frequency Domain Analysis

Physical Activity

Top Venues

IEEE Trans. Computational Imaging

Publications

Blake VanBerlo, Derek Wu, Brian Li, Marwan A. Rahman, Gregory Hogg, Bennett VanBerlo, Jared Tschirhart, Alex Ford, Jordan Ho, Joseph McCauley, Benjamin Wu, Jason Deglint, Jaswin Hargun, Rushil Chaudhary, Chintan Dave, Robert Arntfield
Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach. Comput. Biol. Medicine 148 (2022)
Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification. CoRR (2022)
Nitpreet Bamra, Vikram Voleti, Alexander Wong, Jason Deglint
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms. CoRR (2022)
Francis Li, Hicham Sekkati, Jason Deglint, Christian Scharfenberger, Mark Lamm, David A. Clausi, John S. Zelek, Alexander Wong
Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping. IEEE Trans. Computational Imaging 3 (1) (2017)
Brendan Chwyl, Audrey G. Chung, Robert Amelard, Jason Deglint, David A. Clausi, Alexander Wong
Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms. CRV (2016)
Brendan Chwyl, Audrey G. Chung, Robert Amelard, Jason Deglint, David A. Clausi, Alexander Wong
SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments. ICIP (2016)
Jason Deglint, Farnoud Kazemzadeh, Daniel S. Cho, David A. Clausi, Alexander Wong
Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling. CoRR (2015)