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Michael J. Collins 0001
Person information
- affiliation: Queensland University of Technology, School of Optometry and Vision Science
Other persons with the same name
- Michael J. Collins 0002
— University of Calgary, Department of Geomatics Engineering (and 1 more)
- Michael J. Collins 0003 — Sandia National Laboratories, Albuquerque, USA (and 1 more)
- Michael J. Collins 0004 — Ohio State University, Department of Electronic Engineering
- Michael J. Collins 0005 — Google Research, New York, NY, USA
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2020 – today
- 2024
- [j21]Jason Kugelman
Enhancing OCT patch-based segmentation with improved GAN data augmentation and semi-supervised learning. Neural Comput. Appl. 36(29): 18087-18105 (2024) - 2023
- [j20]Yoel F. Garcia-Marin, David Alonso-Caneiro
Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance. Comput. Biol. Medicine 152: 106342 (2023) - [j19]Jason Kugelman, David Alonso-Caneiro
Enhanced OCT chorio-retinal segmentation in low-data settings with semi-supervised GAN augmentation using cross-localisation. Comput. Vis. Image Underst. 237: 103852 (2023) - 2022
- [j18]Ignacio A. Viedma, David Alonso-Caneiro
Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey. Neurocomputing 507: 247-264 (2022) - [j17]Ignacio A. Viedma
OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN. Sensors 22(5): 2016 (2022) - [j16]Thomas Coppin, Douglas W. Palmer, Krishan Rana
Design of a focused light field fundus camera for retinal imaging. Signal Process. Image Commun. 109: 116869 (2022) - 2021
- [j15]Jason Kugelman
Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks. Neural Comput. Appl. 33(13): 7393-7408 (2021) - [c9]David Alonso-Caneiro, Jason Kugelman, Janelle Tong, Michael Kalloniatis, Fred K. Chen, Scott A. Read, Michael J. Collins:
Use of uncertainty quantification as a surrogate for layer segmentation error in Stargardt disease retinal OCT images. DICTA 2021: 1-8 - [c8]Jason Kugelman, David Alonso-Caneiro
OCT chorio-retinal segmentation with adversarial loss. DICTA 2021: 1-8 - [c7]Ignacio A. Viedma, David Alonso-Caneiro
OCT retinal image-to-image translation: Analysing the use of CycleGAN to improve retinal boundary semantic segmentation. DICTA 2021: 1-8 - 2020
- [j14]Jason Kugelman
Effect of Altered OCT Image Quality on Deep Learning Boundary Segmentation. IEEE Access 8: 43537-43553 (2020) - [c6]Jason Kugelman, David Alonso-Caneiro
Dual image and mask synthesis with GANs for semantic segmentation in optical coherence tomography. DICTA 2020: 1-8
2010 – 2019
- 2019
- [c5]Jason Kugelman, David Alonso-Caneiro
Constructing Synthetic Chorio-Retinal Patches using Generative Adversarial Networks. DICTA 2019: 1-8 - 2018
- [c4]David Alonso-Caneiro
Automatic Retinal and Choroidal Boundary Segmentation in OCT Images Using Patch-Based Supervised Machine Learning Methods. ACCV Workshops 2018: 215-228 - 2010
- [j13]Michael Muma, D. Robert Iskander, Michael J. Collins
The Role of Cardiopulmonary Signals in the Dynamics of the Eye's Wavefront Aberrations. IEEE Trans. Biomed. Eng. 57(2): 373-383 (2010)
2000 – 2009
- 2009
- [j12]Martin Schneider, D. Robert Iskander, Michael J. Collins
Modeling Corneal Surfaces With Rational Functions for High-Speed Videokeratoscopy Data Compression. IEEE Trans. Biomed. Eng. 56(2): 493-499 (2009) - [j11]Weaam Alkhaldi, D. Robert Iskander, Abdelhak M. Zoubir, Michael J. Collins
Enhancing the Standard Operating Range of a Placido Disk Videokeratoscope for Corneal Surface Estimation. IEEE Trans. Biomed. Eng. 56(3): 800-809 (2009) - [j10]David Alonso-Caneiro
Assessment of Tear Film Surface Quality Using Dynamic-Area High-Speed Videokeratoscopy. IEEE Trans. Biomed. Eng. 56(5): 1473-1481 (2009) - [j9]Alyra J. Shaw
A Technique to Measure Eyelid Pressure Using Piezoresistive Sensors. IEEE Trans. Biomed. Eng. 56(10): 2512-2517 (2009) - 2008
- [j8]David Alonso-Caneiro
Estimating Corneal Surface Topography in Videokeratoscopy in the Presence of Strong Signal Interference. IEEE Trans. Biomed. Eng. 55(10): 2381-2387 (2008) - [c3]David Alonso-Caneiro
Computationally efficient interference detection in videokeratoscopy images. MMSP 2008: 486-490 - 2005
- [j7]D. Robert Iskander, Michael J. Collins
Evaluating tear film stability in the human eye with high-speed videokeratoscopy. IEEE Trans. Biomed. Eng. 52(11): 1939-1949 (2005) - 2004
- [j6]D. Robert Iskander, Michael J. Collins
Automatic pupillometry from digital images. IEEE Trans. Biomed. Eng. 51(9): 1619-1627 (2004) - [j5]D. Robert Iskander, Michael J. Collins
Analyzing the dynamic wavefront aberrations in the human eye. IEEE Trans. Biomed. Eng. 51(11): 1969-1980 (2004) - [j4]D. Robert Iskander, Mark R. Morelande, Michael J. Collins
A refined bootstrap method for estimating the Zernike polynomial model order for corneal surfaces. IEEE Trans. Biomed. Eng. 51(12): 2203-2206 (2004) - 2002
- [j3]D. Robert Iskander, Mark R. Morelande, Michael J. Collins
Modeling of corneal surfaces with radial polynomials. IEEE Trans. Biomed. Eng. 49(4): 320-328 (2002) - [j2]Mark R. Morelande, D. Robert Iskander, Michael J. Collins
Automatic estimation of the corneal limbus in videokeratoscopy. IEEE Trans. Biomed. Eng. 49(12): 1617-1625 (2002) - 2001
- [j1]D. Robert Iskander, Michael J. Collins
Optimal modeling of corneal surfaces with Zernike polynomials. IEEE Trans. Biomed. Eng. 48(1): 87-95 (2001)
1990 – 1999
- 1999
- [c2]Paul Sulisz, Michael J. Collins
Integrated DSP control and image acquisition system for measuring monochromatic aberrations in human eyes. ISSPA 1999: 355-358 - [c1]Christopher Chao, D. Robert Iskander, Michael J. Collins
Dynamic retinal image reconstruction of the human eye. ISSPA 1999: 919-922
Coauthor Index
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