A computational model of dysfunctional facial encoding in congenital prosopagnosia. - Rainer Stollhoff; Ingo Kennerknecht; Tobias Elze; Jürgen Jost (Neural Networks, 2011)

Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering. - Siamak Yousefi; Tobias Elze; Louis R. Pasquale; Michael V. Boland (IVCNZ, 2018)

New Precision Metrics for Contrast Sensitivity Testing. - Michael Dorr; Tobias Elze; Hui Wang; Zhong-Lin Lu; Peter J. Bex; Luis A. Lesmes (IEEE J. Biomed. Health Informatics, 2018)

Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis. - Sidharth Mahotra; Mengyu Wang 001; Tobias Elze; Michael V. Boland; Louis R. Pasquale; Juleke Majoor; Koen A. Vermeer; Chris Johnson; Kouros Nouri-Mahdavi; Hans G. Lemij; Michael H. Goldbaum; Siamak Yousefi (IEEE BigData, 2020)

Deep variational clustering framework for self-labeling large-scale medical images. - Farzin Soleymani; Mohammad Eslami; Tobias Elze; Bernd Bischl; Mina Rezaei (Image Processing, 2022)

Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning. - Mohammad Eslami; Solale Tabarestani; Ehsan Adeli 001; Glyn Elwyn; Tobias Elze; Mengyu Wang 001; Nazlee Zebardast; Nassir Navab; Malek Adjouadi (CoRR, 2022)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (CoRR, 2022)

Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. - Yan Luo 002; Min Shi 001; Yu Tian 001; Tobias Elze; Mengyu Wang 001 (ICCV, 2023)

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. - Yan Luo 002; Yu Tian 001; Min Shi 001; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling. - Yan Luo 002; Yu Tian 001; Min Shi 001; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling. - Yu Tian 001; Min Shi 001; Yan Luo 002; Ava Kouhana; Tobias Elze; Mengyu Wang 001 (CoRR, 2023)

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. - Min Shi 001; Anagha Lokhande; Mojtaba Sedigh Fazli; Vishal Sharma; Yu Tian 001; Yan Luo 002; Louis R. Pasquale; Tobias Elze; Michael V. Boland; Nazlee Zebardast; David S. Friedman; Lucy Q. Shen; et al. (IEEE J. Biomed. Health Informatics, 2023)

FairCLIP: Harnessing Fairness in Vision-Language Learning. - Yan Luo 002; Min Shi 001; Muhammad Osama Khan; Muhammad Muneeb Afzal; Hao Huang 003; Shuaihang Yuan; Yu Tian 001; Luo Song; Ava Kouhana; Tobias Elze; Yi Fang 006; Mengyu Wang 001 (CVPR, 2024)

FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. - Yu Tian 001; Min Shi 001; Yan Luo 002; Ava Kouhana; Tobias Elze; Mengyu Wang 001 (ICLR, 2024)

Automatic Detection of Optic Disc and Fovea from Colour Fundus Images. - M. Elena Martínez-Pérez; Tobias Elze; Franziska G. Rauscher (SAI (1), 2024)

RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. - Min Shi 001; Yu Tian 001; Yan Luo 002; Tobias Elze; Mengyu Wang 001 (Medical Image Anal., 2024)

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. - Yan Luo 002; Yu Tian 001; Min Shi 001; Louis R. Pasquale; Lucy Q. Shen; Nazlee Zebardast; Tobias Elze; Mengyu Wang 001 (IEEE Trans. Medical Imaging, 2024)

Development and evaluation of customized software to automatically align macula and optic disc centered scanning laser ophthalmoscope fundus images. - M. Elena Martínez-Pérez; Franziska G. Rauscher; Pingping Zhao; Tobias Elze (PeerJ Comput. Sci., 2025)

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM). - Yang Zhou 017; Chrystie Wan Ning Quek; Jun Zhou 014; Yan Wang 015; Yang Bai; Yuhe Ke; Jie Yao; Laura Gutierrez; Zhen Ling Teo; Darren Shu Jeng Ting; Brian T. Soetikno; Christopher S. Nielsen; et al. (CoRR, 2025)