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Tobias Elze
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2020 – today
- 2024
- [j5]Min Shi, Yu Tian
, Yan Luo
, Tobias Elze
, Mengyu Wang
:
RNFLT2Vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps. Medical Image Anal. 94: 103110 (2024) - [j4]Yan Luo
, Yu Tian
, Min Shi
, Louis R. Pasquale
, Lucy Q. Shen
, Nazlee Zebardast, Tobias Elze
, Mengyu Wang
:
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. IEEE Trans. Medical Imaging 43(7): 2623-2633 (2024) - [c5]Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang:
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. ICLR 2024 - [i8]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:
FairCLIP: Harnessing Fairness in Vision-Language Learning. CoRR abs/2403.19949 (2024) - 2023
- [j3]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
:
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. IEEE J. Biomed. Health Informatics 27(9): 4329-4340 (2023) - [c4]Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. ICCV 2023: 20414-20425 - [i7]Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization. CoRR abs/2306.09264 (2023) - [i6]Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang:
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. CoRR abs/2308.13411 (2023) - [i5]Yan Luo, Yu Tian, Min Shi, Tobias Elze, Mengyu Wang:
Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling. CoRR abs/2310.02492 (2023) - [i4]Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang:
FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling. CoRR abs/2311.02189 (2023) - 2022
- [c3]Farzin Soleymani, Mohammad Eslami
, Tobias Elze, Bernd Bischl, Mina Rezaei:
Deep variational clustering framework for self-labeling large-scale medical images. Medical Imaging: Image Processing 2022 - [i3]Mohammad Eslami, Solale Tabarestani, Ehsan Adeli, Glyn Elwyn, Tobias Elze, Mengyu Wang, Nazlee Zebardast, Nassir Navab, Malek Adjouadi:
Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning. CoRR abs/2205.04599 (2022) - [i2]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:
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. CoRR abs/2209.00773 (2022) - 2021
- [i1]Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei:
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images. CoRR abs/2109.10777 (2021) - 2020
- [c2]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:
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis. IEEE BigData 2020: 3775-3782
2010 – 2019
- 2018
- [j2]Michael Dorr
, Tobias Elze
, Hui Wang, Zhong-Lin Lu
, Peter J. Bex, Luis A. Lesmes:
New Precision Metrics for Contrast Sensitivity Testing. IEEE J. Biomed. Health Informatics 22(3): 919-925 (2018) - [c1]Siamak Yousefi, Tobias Elze, Louis R. Pasquale, Michael V. Boland
:
Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering. IVCNZ 2018: 1-6 - 2011
- [j1]Rainer Stollhoff, Ingo Kennerknecht, Tobias Elze
, Jürgen Jost:
A computational model of dysfunctional facial encoding in congenital prosopagnosia. Neural Networks 24(6): 652-664 (2011)
Coauthor Index
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last updated on 2024-08-10 00:31 CEST by the dblp team
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