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ORCIDAndreas Husch
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- affiliation: University of Luxembourg
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2020 – today
- 2024
[j6]Gabriela Retamales
, Marino E. Gavidia, Ben Bausch, Arthur N. Montanari, Andreas Husch, Jorge Gonçalves:
Towards automatic home-based sleep apnea estimation using deep learning. npj Digit. Medicine 7(1) (2024)- [c9]Raphael Maser, Meryem Abbad Andaloussi, François Lamoline, Andreas Husch:
Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization. Bildverarbeitung für die Medizin 2024: 328-333 - 2023
- [j5]Clemens Neudorfer, Konstantin Butenko, Simon Oxenford, Nanditha Rajamani, Johannes Achtzehn, Lukas Goede, Barbara Hollunder, Ana Sofía Ríos, Lauren Hart, Jordy Tasserie, Kavisha B. Fernando, Thuy Anh Khoa Nguyen, Bassam Al-Fatly, Matteo Vissani, Michael D. Fox, Robert Mark Richardson, Ursula van Rienen, Andrea A. Kühn, Andreas Dominik Husch, Enrico Opri, Till Anselm Dembek, Ningfei Li, Andreas Horn:
Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks. NeuroImage 268: 119862 (2023) - 2022
- [j4]Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - [c8]Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Frank Hertel, Andreas Husch:
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. Bildverarbeitung für die Medizin 2022: 114 - [c7]Mehri Baniasadi, Andreas Husch, Daniele Proverbio, Isabel Fernandes Arroteia, Frank Hertel, Jorge M. Gonçalves:
Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data. Bildverarbeitung für die Medizin 2022: 297-302 - [c6]Beatriz Garcia Santa Cruz, Andreas Husch, Frank Hertel:
The effect of dataset confounding on predictions of deep neural networks for medical imaging. NLDL 2022 - 2021
- [j3]Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Andreas Dominik Husch:
Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem. Medical Image Anal. 74: 102225 (2021) - [c5]Vanja Vlasov, Marie Bofferding, Loïc Marx, Chencheng Zhang, Jorge M. Gonçalves, Andreas Husch, Frank Hertel:
Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images. Bildverarbeitung für die Medizin 2021: 92-97 - 2020
- [j2]Mehri Baniasadi, Daniele Proverbio, Jorge M. Gonçalves, Frank Hertel, Andreas Husch:
FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields. NeuroImage 223: 117330 (2020) - [i2]Beatriz Garcia Santa Cruz, Jan Sölter, Matías Nicolás Bossa, Andreas Dominik Husch:
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets. CoRR abs/2008.11572 (2020)
2010 – 2019
- 2019
- [j1]Andreas Horn, Ningfei Li, Till Anselm Dembek, Ari Kappel, Chadwick B. Boulay, Siobhan Ewert, Anna Tietze, Andreas Husch, Thushara Perera, Wolf-Julian Neumann, Marco Reisert, Hang Si, Robert Oostenveld, Christopher Rorden, Fang-Cheng Yeh, Qianqian Fang, Todd M. Herrington, Johannes Vorwerk, Andrea A. Kühn:
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging. NeuroImage 184: 293-316 (2019) - 2017
- [c4]Andreas Husch, Peter Gemmar, Johan Thunberg, Frank Hertel:
Integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery. Medical Imaging: Image-Guided Procedures 2017: 101350H - 2016
- [c3]Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge M. Gonçalves, Frank Hertel:
Fast correspondences for statistical shape models of brain structures. Medical Imaging: Image Processing 2016: 97840R - 2015
- [c2]Andreas Husch, Peter Gemmar, Jörg Lohscheller, Florian Bernard, Frank Hertel:
Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation. Bildverarbeitung für die Medizin 2015: 77-82 - [c1]Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves:
A solution for multi-alignment by transformation synchronisation. CVPR 2015: 2161-2169 - 2014
- [i1]Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves:
A Solution for Multi-Alignment by Transformation Synchronisation. CoRR abs/1410.8546 (2014)
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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