Justin Engelmann

According to our database, Justin Engelmann authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics.

Yukun Zhou, Paul Nderitu, Jocelyn Hui Lin Goh, Justin Engelmann, Siegfried K. Wagner, Emma Anran Ran, Hongyang Jiang, Lie Ju, Ke Zou, Sahana Srinivasan, Hyunmin Kim, Takahiro Ninomiya, Zheyuan Wang, Gabriel Dawei Yang, Eden Ruffell, Dominic Williamson, Rui Santos, Gábor Márk Somfai, Carol Y. Cheung, Tien Yin Wong, Daniel C. Alexander, Yih Chung Tham, Pearse A. Keane

CoRR, September, 2025

Input Simplification Impact on Robustness for Targeted Therapy Subtypes in Breast MRI Segmentation AI.

Alba Bernal Rodriguez, Beatriz Remeserio, Justin Engelmann, Lucas Gago, Jacinto Velasco Rebolledo

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

2024

OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data.

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

CoRR, 2024

SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images.

Jamie Burke, Samuel Gibbon, Justin Engelmann, Adam Threlfall, Ylenia Giarratano, Charlene Hamid, Stuart King, Ian J. C. MacCormick, Thomas J. MacGillivray

CoRR, 2024

Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images.

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

CoRR, 2024

Training a high-performance retinal foundation model with half-the-data and 400 times less compute.

Justin Engelmann, Miguel O. Bernabeu

CoRR, 2024

Applicability of oculomics for individual risk prediction: Repeatability and robustness of retinal Fractal Dimension using DART and AutoMorph.

Justin Engelmann, Diana Moukaddem, Lucas Gago, Niall C. Strang, Miguel O. Bernabeu

CoRR, 2024

Ultra-fast Detection of Referable Diabetic Retinopathy and Macular Edema in Ultra-widefield Fundus Imaging Using a Unified Risk Score.

Justin Engelmann, Lucas Gago

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

An Ultra-efficient Method for Real-Time Ultra-widefield Fundus Image Quality Assessment.

Justin Engelmann, Lucas Gago

Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

2023

Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography.

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

CoRR, 2023

Efficient and fully-automatic retinal choroid segmentation in OCT through DL-based distillation of a hand-crafted pipeline.

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

CoRR, 2023

QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models.

Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

2022

Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning.

Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu

Nat. Mac. Intell., December, 2022

Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions.

Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu

CoRR, 2022

Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation.

Justin Engelmann, Ana Villaplana-Velasco, Amos J. Storkey, Miguel O. Bernabeu

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

2021

Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning.

Justin Engelmann, Stefan Lessmann

Expert Syst. Appl., 2021

Global explainability in aligned image modalities.

Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu

CoRR, 2021