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Justin Engelmann
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2020 – today
- 2024
- [i12]Justin Engelmann, Diana Moukaddem, Lucas Gago, Niall C. Strang, Miguel O. Bernabeu:
Applicability of oculomics for individual risk prediction: Repeatability and robustness of retinal Fractal Dimension using DART and AutoMorph. CoRR abs/2403.06950 (2024) - [i11]Justin Engelmann, Miguel O. Bernabeu:
Training a high-performance retinal foundation model with half-the-data and 400 times less compute. CoRR abs/2405.00117 (2024) - [i10]Jamie Burke, Justin Engelmann, Charlene Hamid, Diana Moukaddem, Dan Pugh, Neeraj Dhaun, Amos J. Storkey, Niall C. Strang, Stuart King, Tom J. MacGillivray, Miguel O. Bernabeu, Ian J. C. MacCormick:
Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images. CoRR abs/2405.14453 (2024) - [i9]Jamie Burke, Samuel Gibbon, Justin Engelmann, Adam Threlfall, Ylenia Giarratano, Charlene Hamid, Stuart King, Ian J. C. MacCormick, Thomas J. MacGillivray:
SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images. CoRR abs/2406.16466 (2024) - [i8]Jamie Burke, Justin Engelmann, Samuel Gibbon, Charlene Hamid, Diana Moukaddem, Dan Pugh, Tariq E. Farrah, Niall C. Strang, Neeraj Dhaun, Thomas J. MacGillivray, Stuart King, Ian J. C. MacCormick:
OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data. CoRR abs/2407.14128 (2024) - 2023
- [c2]Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu:
QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models. OMIA@MICCAI 2023: 32-41 - [i7]Jamie Burke
, Justin Engelmann, Charlene Hamid, Megan Reid-Schachter, Tom Pearson, Dan Pugh, Neeraj Dhaun, Stuart King, Tom J. MacGillivray, Miguel O. Bernabeu, Amos J. Storkey, Ian J. C. MacCormick:
Efficient and fully-automatic retinal choroid segmentation in OCT through DL-based distillation of a hand-crafted pipeline. CoRR abs/2307.00904 (2023) - [i6]Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu:
QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models. CoRR abs/2307.13646 (2023) - [i5]Justin Engelmann, Jamie Burke, Charlene Hamid, Megan Reid-Schachter, Dan Pugh, Neeraj Dhaun, Diana Moukaddem, Lyle Gray, Niall C. Strang, Paul McGraw, Amos J. Storkey, Paul J. Steptoe, Stuart King, Tom J. MacGillivray, Miguel O. Bernabeu, Ian J. C. MacCormick:
Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography. CoRR abs/2312.02956 (2023) - 2022
- [j2]Justin Engelmann
Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning. Nat. Mac. Intell. 4(12): 1143-1154 (2022) - [c1]Justin Engelmann, Ana Villaplana-Velasco, Amos J. Storkey, Miguel O. Bernabeu:
Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation. OMIA@MICCAI 2022: 84-93 - [i4]Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu:
Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions. CoRR abs/2203.06113 (2022) - [i3]Justin Engelmann, Ana Villaplana-Velasco, Amos J. Storkey, Miguel O. Bernabeu:
Robust and efficient computation of retinal fractal dimension through deep approximation. CoRR abs/2207.05757 (2022) - 2021
- [j1]Justin Engelmann, Stefan Lessmann
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning. Expert Syst. Appl. 174: 114582 (2021) - [i2]Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu:
Global explainability in aligned image modalities. CoRR abs/2112.09591 (2021) - 2020
- [i1]Justin Engelmann, Stefan Lessmann:
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning. CoRR abs/2008.09202 (2020)
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