Tobias Elze

Orcid: 0000-0002-2032-0496

According to our database¹, Tobias Elze authored at least 17 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, July, 2024

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

[BibT_eX]

[DOI]

Medical Image Anal., 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FairCLIP: Harnessing Fairness in Vision-Language Learning.

[BibT_eX]

[DOI]

Yan Luo

Min Shi

Muhammad Osama Khan

Muhammad Muneeb Afzal

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.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, September, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

New Precision Metrics for Contrast Sensitivity Testing.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2018

Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neural Networks, 2011

Tobias Elze

Timeline

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