Eva Schnider
Orcid: 0000-0002-0226-9519
According to our database1,
Eva Schnider
authored at least 11 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
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
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