Andreas Husch

According to our database, Andreas Husch authored at least 16 papers between 2015 and 2024.

Collaborative distances:

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

2024

Towards automatic home-based sleep apnea estimation using deep learning.

Gabriela Retamales, Marino E. Gavidia, Ben Bausch, Arthur N. Montanari, Andreas Husch, Jorge Gonçalves

npj Digit. Medicine, 2024

Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization.

Raphael Maser, Meryem Abbad Andaloussi, François Lamoline, Andreas Husch

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks.

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

NeuroImage, March, 2023

2022

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

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

Medical Image Anal., 2022

The effect of dataset confounding on predictions of deep neural networks for medical imaging.

Beatriz Garcia Santa Cruz, Andreas Husch, Frank Hertel

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models.

Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Frank Hertel, Andreas Husch

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data.

Mehri Baniasadi, Andreas Husch, Daniele Proverbio, Isabel Fernandes Arroteia, Frank Hertel, Jorge M. Gonçalves

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem.

Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Andreas Dominik Husch

Medical Image Anal., 2021

Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images.

Vanja Vlasov, Marie Bofferding, Loïc Marx, Chencheng Zhang, Jorge M. Gonçalves, Andreas Husch, Frank Hertel

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields.

Mehri Baniasadi, Daniele Proverbio, Jorge M. Gonçalves, Frank Hertel, Andreas Husch

NeuroImage, 2020

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets.

Beatriz Garcia Santa Cruz, Jan Sölter, Matías Nicolás Bossa, Andreas Dominik Husch

CoRR, 2020

2019

Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.

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

NeuroImage, 2019

2017

Integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery.

Andreas Husch, Peter Gemmar, Johan Thunberg, Frank Hertel

Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

2016

Fast correspondences for statistical shape models of brain structures.

Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge M. Gonçalves, Frank Hertel

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

A solution for multi-alignment by transformation synchronisation.

Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation.

Andreas Husch, Peter Gemmar, Jörg Lohscheller, Florian Bernard, Frank Hertel

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015