Antal Huck-Horváth

According to our database, Antal Huck-Horváth authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improved distinct bone segmentation in upper-body CT through multi-resolution networks.

Eva Schnider, Julia Wolleb, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin

Int. J. Comput. Assist. Radiol. Surg., November, 2023

2022

Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors.

Samaneh Manavi Roodsari, Antal Huck-Horváth, Sara Freund, Azhar Zam, Georg Rauter, Wolfgang Schade, Philippe C. Cattin

CoRR, 2022

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

Eva Schnider, Antal Huck, Mireille Toranelli, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin

CoRR, 2022

Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference.

Eva Schnider, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin

Int. J. Comput. Assist. Radiol. Surg., 2022

Bone Ablation Depth Estimation From Er: YAG Laser-Generated Acoustic Waves.

Carlo Seppi, Antal Huck, Arsham Hamidi, Eva Schnider, Massimiliano Filipozzi, Georg Rauter, Azhar Zam, Philippe C. Cattin

IEEE Access, 2022

2021

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

Carlo Seppi, Antal Huck, Hervé Nguendon Kenhagho, Eva Schnider, Georg Rauter, Azhar Zam, Philippe C. Cattin

IEEE Access, 2021

2020

3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies.

Eva Schnider, Antal Horváth, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2018

Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU.

Antal Horváth, Charidimos Tsagkas, Simon Andermatt, Simon Pezold, Katrin Parmar, Philippe C. Cattin

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018

Pathology Segmentation Using Distributional Differences to Images of Healthy Origin.

Simon Andermatt, Antal Horváth, Simon Pezold, Philippe C. Cattin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017

High Order Slice Interpolation for Medical Images.

Antal Horváth, Simon Pezold, Matthias Weigel, Katrin Parmar, Philippe C. Cattin

Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

2016

Automatic, Robust, and Globally Optimal Segmentation of Tubular Structures.

Simon Pezold, Antal Horváth, Ketut Fundana, Charidimos Tsagkas, Michaela Andelová, Katrin Weier, Michael Amann, Philippe C. Cattin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Variational Segmentation of the White and Gray Matter in the Spinal Cord Using a Shape Prior.

Antal Horváth, Simon Pezold, Matthias Weigel, Katrin Parmar, Oliver Bieri, Philippe C. Cattin

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016