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Author [ Title(Desc)] Type Year
A
Cheeseman, A. . (2017). Adaptive Waveform Design and CFAR Processing for High Frequency Surface Wave Radar. Edward S. Rogers Sr. Department of Electrical & Computer Engineering, Faculty of Engineering, University of Toronto. Retrieved from https://tspace.library.utoronto.ca/handle/1807/79106
C
Cheeseman, A. K. , Vrscay, E. R. , & Tizhoosh, H. . (2019). A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections. In International Conference on Image Analysis and Recognition (ICIAR 2019) (pp. 147-158). Springer, Cham. Retrieved from https://link.springer.com/chapter/10.1007/978-3-030-27272-2_13
Cheeseman, A. . (2022). A Critical Examination of Two Specific Approaches Used to Characterize Medical Images: i) Projection-based Descriptors for Image Retrieval and ii) Estimating Fractal Dimensions of Discrete Sets. Department of Applied Mathematics, Faculty of Mathematics, University of Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/18689
D
Cheeseman, A. , & Adve, R. S. . (2019). Design of multiple near-orthogonal spectrally-compliant waveforms via alternating successive convex approximations and projections. IET Radar, Sonar & Navigation, 13(5), 781-788.
Cheeseman, A. , & Adve, R. S. . (2017). Designing practical spectrally constrained waveforms for HFSWR by successive convex approximations and projections. In IET International Radar Conference. IET Digital Library.
E
Cheeseman, A. K. , & Vrscay, E. R. . (2022). Estimating the Fractal Dimensions of Vascular Networks and Other Branching Structures: Some Words of Caution. Mathematics, 10(5).
O
Cheeseman, A. K. , Kowalik-Urbaniak, I. A. , & Vrscay, E. R. . (2016). Objective Image Quality Measures of Degradation in Compressed Natural Images and their Comparison with Subjective Assessments. In International Conference on Image Analysis and Recognition (ICIAR) (pp. 163-172).
S
Cheeseman, A. K. , Vrscay, E. R. , & Tizhoosh, H. R. . (2020). Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance. International Conference on Image Analysis and Recognition (ICIAR 2020). Retrieved from https://link.springer.com/chapter/10.1007/978-3-030-50516-5_23