Eva Schnider

Orcid: 0000-0002-0226-9519

According to our database1, Eva Schnider authored at least 11 papers between 2020 and 2024.

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Bibliography

2024
Plots Unlock Time-Series Understanding in Multimodal Models.
CoRR, 2024

MINT: A wrapper to make multi-modal and multi-image AI models interactive.
CoRR, 2024

Corrections to "Deep-Learning Approach for Tissue Classification Using Acoustic Waves During Ablation With an Er:YAG Laser".
IEEE Access, 2024

2023
Improved distinct bone segmentation in upper-body CT through multi-resolution networks.
Int. J. Comput. Assist. Radiol. Surg., November, 2023

2022
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images.
CoRR, 2022

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
CoRR, 2022

Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference.
Int. J. Comput. Assist. Radiol. Surg., 2022

Bone Ablation Depth Estimation From Er: YAG Laser-Generated Acoustic Waves.
IEEE Access, 2022

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Deep-Learning Approach for Tissue Classification Using Acoustic Waves During Ablation With an Er: YAG Laser.
IEEE Access, 2021

2020
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020


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