Andreas Husch

15 papers A* 1B 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Few-Shot Fingerprinting Subject Re-Identification in 3D-MRI and 2D-X-Ray.
CoRR
Gonçalo Gaspar Alves, Shekoufeh Gorgi Zadeh, Andreas Husch, Ben Bausch
2024 J jnl
Towards automatic home-based sleep apnea estimation using deep learning.
npj Digit. Medicine
Gabriela Retamales, Marino E. Gavidia, Ben Bausch, Arthur N. Montanari, Andreas Husch, Jorge Gonçalves
2024 — conf
Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization.
Bildverarbeitung für die Medizin
Raphael Maser, Meryem Abbad Andaloussi, François Lamoline, Andreas Husch
2022 — conf
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models.
Bildverarbeitung für die Medizin
Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Frank Hertel, Andreas Husch
2022 — conf
Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data.
Bildverarbeitung für die Medizin
Mehri Baniasadi, Andreas Husch, Daniele Proverbio, Isabel Fernandes Arroteia, Frank Hertel, Jorge M. Gonçalves
2022 J jnl
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal.
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
2022 — conf
The effect of dataset confounding on predictions of deep neural networks for medical imaging.
NLDL
Beatriz Garcia Santa Cruz, Andreas Husch, Frank Hertel
2021 — conf
Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images.
Bildverarbeitung für die Medizin
Vanja Vlasov, Marie Bofferding, Loïc Marx, Chencheng Zhang, Jorge M. Gonçalves, Andreas Husch, Frank Hertel
2020 J jnl
FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields.
NeuroImage
Mehri Baniasadi, Daniele Proverbio, Jorge M. Gonçalves, Frank Hertel, Andreas Husch
2019 J jnl
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.
NeuroImage
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
2017 — conf
Integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery.
Image-Guided Procedures
Andreas Husch, Peter Gemmar, Johan Thunberg, Frank Hertel
2016 B conf
Fast correspondences for statistical shape models of brain structures.
Image Processing
Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge M. Gonçalves, Frank Hertel
2015 A* conf
A solution for multi-alignment by transformation synchronisation.
CVPR
Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves
2015 — conf
Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation.
Bildverarbeitung für die Medizin
Andreas Husch, Peter Gemmar, Jörg Lohscheller, Florian Bernard, Frank Hertel
2014 J jnl
A Solution for Multi-Alignment by Transformation Synchronisation.
CoRR
Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves