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Antal Huck-Horváth
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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) - 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) - [i6]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) - [i5]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) - [i4]Samaneh Manavi Roodsari, Antal Huck-Horváth, Sara Freund, Azhar Zam, Georg Rauter, Wolfgang Schade, Philippe C. Cattin:
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors. CoRR abs/2210.16068 (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
- [c6]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 - [i3]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)
2010 – 2019
- 2018
- [c5]Antal Horváth, Charidimos Tsagkas, Simon Andermatt, Simon Pezold, Katrin Parmar, Philippe C. Cattin:
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU. CSI@MICCAI 2018: 3-14 - [c4]Simon Andermatt, Antal Horváth, Simon Pezold, Philippe C. Cattin:
Pathology Segmentation Using Distributional Differences to Images of Healthy Origin. BrainLes@MICCAI (1) 2018: 228-238 - [i2]Simon Andermatt, Antal Horváth, Simon Pezold, Philippe C. Cattin:
Pathology Segmentation using Distributional Differences to Images of Healthy Origin. CoRR abs/1805.10344 (2018) - [i1]Antal Horváth, Charidimos Tsagkas, Simon Andermatt, Simon Pezold, Katrin Parmar, Philippe C. Cattin:
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU. CoRR abs/1808.02408 (2018) - 2017
- [c3]Antal Horváth, Simon Pezold, Matthias Weigel, Katrin Parmar, Philippe C. Cattin:
High Order Slice Interpolation for Medical Images. SASHIMI@MICCAI 2017: 69-78 - 2016
- [c2]Antal Horváth, Simon Pezold, Matthias Weigel, Katrin Parmar, Oliver Bieri, Philippe C. Cattin:
Variational Segmentation of the White and Gray Matter in the Spinal Cord Using a Shape Prior. CSI@MICCAI 2016: 26-37 - [c1]Simon Pezold, Antal Horváth, Ketut Fundana, Charidimos Tsagkas, Michaela Andelová, Katrin Weier, Michael Amann, Philippe C. Cattin:
Automatic, Robust, and Globally Optimal Segmentation of Tubular Structures. MICCAI (3) 2016: 362-370
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last updated on 2024-10-07 21:25 CEST by the dblp team
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