Justin Engelmann

22 papers Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Matters Arising: Near-identical images, not foundation models, explain purported re-identification of patients from medical imaging.
npj Digit. Medicine
Justin Engelmann, Siegfried K. Wagner, Yukun Zhou, Pearse A. Keane
2025 J jnl
Bridging the quality gap: Robust colon wall segmentation in noisy transabdominal ultrasound.
Comput. Biol. Medicine
Lucas Gago, Miguel A. Fernández González, Justin Engelmann, Beatriz Remeseiro, Laura Igual
2025 J jnl
Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics.
CoRR
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
2025 — conf
Input Simplification Impact on Robustness for Targeted Therapy Subtypes in Breast MRI Segmentation AI.
Deep-Breath@MICCAI
Alba Bernal Rodriguez, Beatriz Remeserio, Justin Engelmann, Lucas Gago, Jacinto Velasco Rebolledo
2024 — conf
An Ultra-efficient Method for Real-Time Ultra-widefield Fundus Image Quality Assessment.
UWF4DR@MICCAI
Justin Engelmann, Lucas Gago
2024 J jnl
Applicability of oculomics for individual risk prediction: Repeatability and robustness of retinal Fractal Dimension using DART and AutoMorph.
CoRR
Justin Engelmann, Diana Moukaddem, Lucas Gago, Niall C. Strang, Miguel O. Bernabeu
2024 J jnl
Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images.
CoRR
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
2024 J jnl
OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data.
CoRR
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
2024 J jnl
SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images.
CoRR
Jamie Burke, Samuel Gibbon, Justin Engelmann, Adam Threlfall, Ylenia Giarratano, Charlene Hamid, Stuart King, Ian J. C. MacCormick, Thomas J. MacGillivray
2024 J jnl
Training a high-performance retinal foundation model with half-the-data and 400 times less compute.
CoRR
Justin Engelmann, Miguel O. Bernabeu
2024 — conf
Ultra-fast Detection of Referable Diabetic Retinopathy and Macular Edema in Ultra-widefield Fundus Imaging Using a Unified Risk Score.
UWF4DR@MICCAI
Justin Engelmann, Lucas Gago
2023 J jnl
Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography.
CoRR
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
2023 J jnl
Efficient and fully-automatic retinal choroid segmentation in OCT through DL-based distillation of a hand-crafted pipeline.
CoRR
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
2023 — conf
QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models.
OMIA@MICCAI
Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu
2023 J jnl
QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models.
CoRR
Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu
2022 J jnl
Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning.
Nat. Mac. Intell.
Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu
2022 J jnl
Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions.
CoRR
Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick, Emma Pead, Amos J. Storkey, Miguel O. Bernabeu
2022 — conf
Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation.
OMIA@MICCAI
Justin Engelmann, Ana Villaplana-Velasco, Amos J. Storkey, Miguel O. Bernabeu
2022 J jnl
Robust and efficient computation of retinal fractal dimension through deep approximation.
CoRR
Justin Engelmann, Ana Villaplana-Velasco, Amos J. Storkey, Miguel O. Bernabeu
2021 J jnl
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning.
Expert Syst. Appl.
Justin Engelmann, Stefan Lessmann
2021 J jnl
Global explainability in aligned image modalities.
CoRR
Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu
2020 J jnl
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning.
CoRR
Justin Engelmann, Stefan Lessmann