Justin Engelmann

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Fully Automatic

Fractal Dimension

Top Venues

Nat. Mac. Intell.

Expert Syst. Appl.

Publications

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 (2024)
Justin Engelmann, Miguel O. Bernabeu
Training a high-performance retinal foundation model with half-the-data and 400 times less compute. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2023)
Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu
QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models. CoRR (2023)
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 (2023)
Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu
QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models. OMIA@MICCAI (2023)
Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu
Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning. Nat. Mac. Intell. 4 (12) (2022)
Justin Engelmann, Ana Villaplana-Velasco, Amos J. Storkey, Miguel O. Bernabeu
Robust and efficient computation of retinal fractal dimension through deep approximation. CoRR (2022)
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 (2022)
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)
Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu
Global explainability in aligned image modalities. CoRR (2021)
Justin Engelmann, Stefan Lessmann
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning. Expert Syst. Appl. 174 (2021)
Justin Engelmann, Stefan Lessmann
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning. CoRR (2020)