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Eva Schnider
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2020 – today
- 2024
- [j5]Carlo Seppi, Antal Huck, Hervé Nguendon Kenhagho, Eva Schnider, Georg Rauter, Azhar Zam, Philippe C. Cattin:
Corrections to "Deep-Learning Approach for Tissue Classification Using Acoustic Waves During Ablation With an Er:YAG Laser". IEEE Access 12: 69299-69300 (2024) - [i5]Jan Freyberg, Abhijit Guha Roy, Terry Spitz, Beverly Freeman, Mike Schaekermann, Patricia Strachan, Eva Schnider, Renee Wong, Dale R. Webster, Alan Karthikesalingam, Yun Liu, Krishnamurthy Dvijotham, Umesh Telang:
MINT: A wrapper to make multi-modal and multi-image AI models interactive. CoRR abs/2401.12032 (2024) - 2023
- [j4]Eva Schnider, Julia Wolleb, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin:
Improved distinct bone segmentation in upper-body CT through multi-resolution networks. Int. J. Comput. Assist. Radiol. Surg. 18(11): 2091-2099 (2023) - [i4]Eva Schnider, Julia Wolleb, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin:
Improved distinct bone segmentation in upper-body CT through multi-resolution networks. CoRR abs/2301.13674 (2023) - 2022
- [j3]Carlo Seppi, Antal Huck, Arsham Hamidi, Eva Schnider, Massimiliano Filipozzi, Georg Rauter, Azhar Zam, Philippe C. Cattin:
Bone Ablation Depth Estimation From Er: YAG Laser-Generated Acoustic Waves. IEEE Access 10: 126603-126611 (2022) - [j2]Eva Schnider, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin:
Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference. Int. J. Comput. Assist. Radiol. Surg. 17(11): 2113-2120 (2022) - [c2]Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS 2022 - [i3]Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR abs/2202.01034 (2022) - [i2]Eva Schnider, Antal Huck, Mireille Toranelli, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin:
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images. CoRR abs/2208.09216 (2022) - 2021
- [j1]Carlo Seppi, Antal Huck, Hervé Nguendon Kenhagho, Eva Schnider, Georg Rauter, Azhar Zam, Philippe C. Cattin:
Deep-Learning Approach for Tissue Classification Using Acoustic Waves During Ablation With an Er: YAG Laser. IEEE Access 9: 130543-130553 (2021) - 2020
- [c1]Eva Schnider, Antal Horváth, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin:
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies. MLMI@MICCAI 2020: 40-49 - [i1]Eva Schnider, Antal Horváth, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin:
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies. CoRR abs/2010.07045 (2020)
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last updated on 2024-10-07 02:37 CEST by the dblp team
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