Theses

  1. Deglint, J. L. (2020). Investigating the automatic classification of algae using the spectral and morphological characteristics via deep residual learning. University of Waterloo, Thesis (Ph.D.).
  2. Deglint, J. L. (2016). Numerical demultiplexing of color image sensor measurements via non-linear random forest modeling. University of Waterloo, Thesis (M.A.Sc.).

Journals

  1. Deglint, J. L., Jin, C., & Wong, A. (2019). Investigating the Automatic Classification of Algae via Deep Residual Learning. Springer, Lecture Notes in Computer Science.
  2. Deglint, J. L., Tang, L., Wang, Y., Jin, C., & Wong, A. (2018). SAMSON: Spectral Absorption-fluorescence Microscopy System for ON-site-imaging of algae. Journal of Computational Vision and Imaging Systems, 4(1), 3–3.
  3. Jin, C., Mesquita, M. M. F., Deglint, J. L., Emelko, M. B., & Wong, A. (2018). Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature. Scientific Reports, 8(1), 9055.
  4. Deglint, J. L., Jin, C., Chao, A., & Wong, A. (2018). The Feasibility of Automated Identification of Six Algae Types using Feed-forward Neural Networks and Fluorescence-based Spectral-morphological Features. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2018.2889017
  5. Gawish, A., Deglint, J. L., Zuj, K. A., Egana, A., M., Rocha, J., Wong, A., & Hughson, R. L. (2017). Determining Arterial Blood Velocity Using MAUI Software From Recorded Doppler Ultrasound Videos. Artery Research, (17).
  6. Li, F., Sekkati, H., Deglint, J., Scharfenberger, C., Lamm, M., Clausi, D., … Wong, A. (2017). Simultaneous projector-camera self-calibration for three-dimensional reconstruction and projection mapping. IEEE Transactions on Computational Imaging, 3(1), 74–83.
  7. Deglint, J., Chao, J., & Wong, A. (2017). A Comprehensive Spectral Analysis of the Auto-fluorescence Characteristics of Three Algae Species at Twelve Discrete Excitation Wavelengths. Journal of Computational Vision and Imaging Systems.
  8. Deglint, J., Kazemzadeh, F., Cho, D., Clausi, D. A., & Wong, A. (2016). Numerical demultiplexing of color image sensor measurements via non-linear random forest modeling. Scientific Reports, 6, 28665.
  9. Boroomand, A., Deglint, J., & Wong, A. (2016). Bayesian Compensated Microscopy. Journal of Computational Vision and Imaging Systems, 2(1).
  10. Zuj, K., Deglint, J., Gawish, A., Wong, A., Clausi, D. A., & Hughson, R. L. (2016). A new software for determining changes in arterial diameter over time. Artery Research, (16), 97.
  11. Deglint, J., Cameron, A., Scharfenberger, C., Sekkati, H., Lamm, M., Wong, A., & Clausi, D. A. (2016). Auto-calibration of a projector–camera stereo system for projection mapping. Journal of the Society for Information Display, 24(8), 510–520.
  12. Deglint, J. L., Schoneveld, K., Kazemzadeh, F., & Wong, A. (2016). A Compact Field-portable Computational Multispectral Microscope using Integrated Raspberry Pi. Journal of Computational Vision and Imaging Systems, 2(1).
  13. Chwyl, B., Chung, A. G., Deglint, J., Wong, A., & Clausi, D. (2015). Remote heart rate measurement through broadband video via stochastic bayesian estimation. Journal of Computational Vision and Imaging Systems, 1(1).
  14. Deglint, J., Kazemzadeh, F., Wong, A., & Clausi, D. A. (2015). Numerical spectral demulitplexing microscopy of measurements from an anatomical specimen. Journal of Computational Vision and Imaging Systems.
  15. Deglint, J., Gawish, A., Zuj, K., Wong, A., Clausi, D. A., & Hughson, R. L. (2015). Active Contours for Measuring Arterial Wall Diameter of Astronauts from Ultrasound Images. Journal of Computational Vision and Imaging Systems.

Workshops

  1. Dulhanty, C., Deglint, J. L., Ben Daya, I., & Wong, A. (2019). Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection. In AI for Social Good Workshop. Conference on Neural Information Processing Systems.

Conferences

  1. Deglint, J. L., Jin, C., & Wong, A. (2019). A Multispectral Bayesian-based Computational Microscopy Method for Enhancing Image Quality. In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII. International Society for Optics and Photonics.
  2. Shiozaki, M., Haghighat, S. K., Feng, S., Sivan, V., Wong, A., Harris, T. D., & Deglint, J. L. (2019). Interactive Tool for Aggregating and Visualizing Spatial and Temporal Harmful Cyanobacteria Bloom Data. In Global Lakes Ecological Observatory Network (Vol. 21, p. 83).
  3. Chwyl, B., Chung, A. G., Amelard, R., Deglint, J., Clausi, D. A., & Wong, A. (2016). SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments. In Image Processing (ICIP), 2016 IEEE International Conference on (pp. 1230–1234). IEEE.
  4. Deglint, J., Chung, A. G., Chwyl, B., Amelard, R., Kazemzadeh, F., Wang, X. Y., … Wong, A. (2016). Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring. In Multimodal Biomedical Imaging XI (Vol. 9701, p. 970111). International Society for Optics and Photonics.
  5. Chwyl, B., Chung, A. G., Amelard, R., Deglint, J., Clausi, D. A., & Wong, A. (2016). Time-frequency domain analysis via pulselets for non-contact heart rate estimation from remotely acquired photoplethysmograms. In Computer and Robot Vision (CRV), 2016 13th Conference on (pp. 201–207). IEEE.
  6. Deglint, J., Kazemzadeh, F., Wong, A., & Clausi, D. A. (2015). Inference of dense spectral reflectance images from sparse reflectance measurement using non-linear regression modeling. In Applications of Digital Image Processing XXXVIII (Vol. 9599, p. 95992G). International Society for Optics and Photonics.
  7. Deglint, J., Cameron, A., Scharfenberger, C., Lamm, M., Wong, A., & Clausi, D. (2015). 35.1: Distinguished Paper: Auto-Calibration for Screen Correction and Point Cloud Generation. In SID Symposium Digest of Technical Papers (Vol. 46, pp. 507–510).
  8. Deglint, J., Kazemzadeh, F., Shafiee, M. J., Li, E., Khodadad, I., Saini, S. S., … Clausi, D. A. (2015). Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena. In Applications of Digital Image Processing XXXVIII (Vol. 9599, p. 95992D). International Society for Optics and Photonics.

Patents

  1. Scharfenberger, C., Sekkati, H., Deglint, J., & Post, M. (2017). System and method for online projector-camera calibration from one or more images.