Tobias Elze

According to our database, Tobias Elze authored at least 24 papers between 2011 and 2026.

Collaborative distances:

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

2026

Training-inference input alignment outweighs framework choice in longitudinal retinal image prediction.

Liyin Chen, Nazlee Zebardast, Mengyu Wang, Tobias Elze, Jason I. Comander

CoRR, April, 2026

CataractSAM-2: A Domain-Adapted Model for Anterior Segment Surgery Segmentation and Scalable Ground-Truth Annotation.

Mohammad Eslami, Dhanvinkumar Ganeshkumar, Saber Kazeminasab, Michael G. Morley, Michael V. Boland, Michael M. Lin, John B. Miller, David S. Friedman, Nazlee Zebardast, Lucia Sobrin, Tobias Elze

CoRR, March, 2026

Clinically informed semi-supervised learning improves disease annotation and equity from electronic health records: a glaucoma case study.

Mousa Moradi, Rishi Shah, Asahi Fujita, Niloufar Bineshfar, Daniel M. Vu, Kanza Aziz, Daniel L. Liebman, Saber Kazeminasab, Mengyu Wang, Tobias Elze, Mohammad Eslami, Nazlee Zebardast

npj Digit. Medicine, 2026

2025

EVLF-FM: Explainable Vision Language Foundation Model for Medicine.

Yang Bai, Haoran Cheng, Yang Zhou, Jun Zhou, Arun Thirunavukarasu, Yuhe Ke, Jie Yao, Kanae Fukutsu, Chrystie Wan Ning Quek, Ashley Hong, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Hiok Hong Chan, Victor Koh, Marcus Tan, Kelvin Z. Li, Leonard Yip, Ching Yu Cheng, Yih Chung Tham, Gavin Siew Wei Tan, Leopold Schmetterer, Marcus Ang, Rahat Hussain, Jod Mehta, Tin Aung, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Soon Thye Lim, Eyal Klang, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting

CoRR, September, 2025

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM).

Yang Zhou, Chrystie Wan Ning Quek, Jun Zhou, Yan Wang, Yang Bai, Yuhe Ke, Jie Yao, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting

CoRR, July, 2025

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

An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning.

Saber Kazeminasab, Sayuri Sekimitsu, Mojtaba Sedigh Fazli, Mohammad Eslami, Min Shi, Yu Tian, Yan Luo, Mengyu Wang, Tobias Elze, Nazlee Zebardast

J. Imaging Inform. Medicine, 2025

2024

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.

Yan Luo, Yu Tian, Min Shi, Louis R. Pasquale, Lucy Q. Shen, Nazlee Zebardast, Tobias Elze, Mengyu Wang

IEEE Trans. Medical Imaging, July, 2024

RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps.

Min Shi, Yu Tian, Yan Luo, Tobias Elze, Mengyu Wang

Medical Image Anal., 2024

Automatic Detection of Optic Disc and Fovea from Colour Fundus Images.

M. Elena Martínez-Pérez, Tobias Elze, Franziska G. Rauscher

Proceedings of the Intelligent Computing, 2024

FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling.

Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FairCLIP: Harnessing Fairness in Vision-Language Learning.

Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma.

Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang

IEEE J. Biomed. Health Informatics, September, 2023

FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling.

Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang

CoRR, 2023

Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling.

Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang

CoRR, 2023

Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization.

Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang

CoRR, 2023

Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning.

Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images.

Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang

CoRR, 2022

Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning.

Mohammad Eslami, Solale Tabarestani, Ehsan Adeli, Glyn Elwyn, Tobias Elze, Mengyu Wang, Nazlee Zebardast, Nassir Navab, Malek Adjouadi

CoRR, 2022

Deep variational clustering framework for self-labeling large-scale medical images.

Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2020

Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis.

Sidharth Mahotra, Mengyu Wang, 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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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

Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering.

Siamak Yousefi, Tobias Elze, Louis R. Pasquale, Michael V. Boland

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

2011

A computational model of dysfunctional facial encoding in congenital prosopagnosia.

Rainer Stollhoff, Ingo Kennerknecht, Tobias Elze, Jürgen Jost

Neural Networks, 2011