Dr. Andreas Husch

Research scientist

Discipline(s) Applied Computer Science
Sujets de recherche Signal & Image Processing, Image Guided Interventions, Applied Machine Learning, Computational Neuroscience
Faculté ou Centre Luxembourg Centre for Systems Biomedicine
Department Interventional Neuroscience
Adresse postale Université du Luxembourg
6, avenue du Swing
L-4367 Belvaux
Bureau sur le campus BioTech II, 0.08
Téléphone (+352) 46 66 44 9087
Fax (+352) 46 66 44 39087

Postdoc in the Interventional Neuroscience group (Hertel Lab) and Systems Control group (Goncalves lab) 

Last updated on: jeudi 18 octobre 2018

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See detailDBS Imaging Methods II: Electrode Localization
Husch, Andreas; Hertel, Frank

in Horn, Andreas (Ed.) Connectomic Deep Brain Stimulation (in press)

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See detailPublic Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem
Garcia Santa Cruz, Beatriz; Bossa, Matias Nicolas; Sölter, Jan; Husch, Andreas

E-print/Working paper (2021)

See detailModel bias and its impact on computer-aided diagnosis: A data-centric approach
Garcia Santa Cruz, Beatriz; Bossa, Matias Nicolas; Sölter, Jan; Husch, Andreas; Hertel, Frank

Poster (2021, August)

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See detailStages of COVID-19 pandemic and paths to herd immunity by vaccination: dynamical model comparing Austria, Luxembourg and Sweden
Kemp, Francoise; Proverbio, Daniele; Aalto, Atte; Mombaerts, Laurent; Fouquier d'herouël, Aymeric; Husch, Andreas; Ley, Christophe; Goncalves, Jorge; Skupin, Alexander; Magni, Stefano

E-print/Working paper (2021)

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See detailApplication of Raman Spectroscopy for Detection of Histologically Distinct Areas in Formalin-fixed Paraffin-embedded (FFPE) Glioblastoma
Klamminger, Gilbert Georg; Gerardy, Jean-Jacques; Jelke, Finn; Mirizzi, Giulia; Slimani, Rédouane; Klein, Karoline; Husch, Andreas; Hertel, Frank; Mittelbronn, Michel; Kleine-Borgmann, Felix B.

in Neuro-Oncology Advances (2021)

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See detailDynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks.
Proverbio, Daniele; Kemp, Francoise; Magni, Stefano; Husch, Andreas; Aalto, Atte; Mombaerts, Laurent; Skupin, Alexander; Goncalves, Jorge; Ameijeiras-Alonso, Jose; Ley, Christophe

in PloS one (2021), 16(5), 0252019

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See detailRapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Roth, Holger; Xu, Ziyue; Diez, Carlos Tor; Jacob, Ramon Sanchez; Zember, Jonathan; Molto, Jose; Li, Wenqi; Xu, Sheng; Turkbey, Baris; Turkbey, Evrim; Yang, Dong; Harouni, Ahmed; Rieke, Nicola; Hu, Shishuai; Isensee, Fabian; Tang, Claire; Yu, Qinji; Sölter, Jan; Zheng, Tong; Liauchuk, Vitali; Zhou, Ziqi; Moltz, Jan; Oliveira, Bruno; Xia, Yong; Maier-Hein, Klaus; Li, Qikai; Husch, Andreas; Zhang, Luyang; Kovalev, Vassili; Kang, Li; Hering, Alessa; Vilaça, João; Flores, Mona; Xu, Daguang; Wood, Bradford; Linguraru, Marius

E-print/Working paper (2021)

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See detailAutomated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images.
Vlasov, Vanja; Bofferding, Marie; Marx, Loic Marc; Zhang, Chencheng; Goncalves, Jorge; Husch, Andreas; Hertel, Frank

in Bildverarbeitung für die Medizin 2021 (2021)

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See detailImpressive weight gain after deep brain stimulation of nucleus accumbens in treatment- ­ resistant bulimic anorexia nervosa
Arroteia, Isabel Fernandes; Husch, Andreas; Baniasadi, Mehri; Hertel, Frank

in BMJ Case Reports (2020)

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See detailFastField: An Open-Source Toolbox for Efficient Approximation of Deep Brain Stimulation Electric Fields
Baniasadi, Mehri; Proverbio, Daniele; Goncalves, Jorge; Hertel, Frank; Husch, Andreas

in NeuroImage (2020)

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See detailAutomatic Detection of Nigrosome Degeneration in Susceptibility-Weighted MRI for Computer-Aided Diagnosis of Parkinson’s Disease Using Machine Learning
Garcia Santa Cruz, Beatriz; Husch, Andreas; Hertel, Frank

in Movement Disorders: Volume 35, Number S1, September 2020 (2020, September 12)

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See detailOn the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Garcia Santa Cruz, Beatriz; Sölter, Jan; Bossa, Matias Nicolas; Husch, Andreas

E-print/Working paper (2020)

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See detailAssessing suppression strategies against epidemicoutbreaks like COVID-19: the SPQEIR model
Proverbio, Daniele; Kemp, Francoise; Magni, Stefano; Husch, Andreas; Aalto, Atte; Mombaerts, Laurent; Goncalves, Jorge; Skupin, Alexander; Ameijeiras-Alonso, Jose; Ley, Christophe

E-print/Working paper (2020)

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See detailFrom tech to bench: Deep Learning pipeline for image segmentation of high-throughput high-content microscopy data
Garcia Santa Cruz, Beatriz; Jarazo, Javier; Saraiva, Claudia; Gomez Giro, Gemma; Modamio Chamarro, Jennifer; Sabaté Soler, Sonia; Kyriaki, Barmpa; Antony, Paul; Schwamborn, Jens Christian; Hertel, Frank; Husch, Andreas

Poster (2019, November 29)

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See detailDeep Learning Quality Control for High-Throughput High-Content Screening Microscopy Images
Garcia Santa Cruz, Beatriz; Jarazo, Javier; Schwamborn, Jens Christian; Hertel, Frank; Husch, Andreas

Poster (2019, October 10)

Kleine Borgmann, Felix; Husch, Andreas; Slimani, Redouane; Jelke, Finn; Mirizzi, Giulia; Klein, Karoline; Mittelbronn, Michel; Hertel, Frank

Poster (2019)

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See detailHabenula deep brain stimulation for refractory bipolar disorder.
Zhang, Chencheng; Kim, Seung-Goo; Li, Dianyou; Zhang, Yingying; Li, Yan; Husch, Andreas; Hertel, Frank; Yan, Fuhua; Voon, Valerie; Sun, Bomin

in Brain stimulation (2019)

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See detailLead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.
Horn, Andreas; Li, Ningfei; Dembek, Till A.; Kappel, Ari; Boulay, Chadwick; Ewert, Siobhan; Tietze, Anna; Husch, Andreas; Perera, Thushara; Neumann, Wolf-Julian; Reisert, Marco; Si, Hang; Oostenveld, Robert; Rorden, Christopher; Yeh, Fang-Cheng; Fang, Qianqian; Herrington, Todd M.; Vorwerk, Johannes; Kuhn, Andrea A.

in NeuroImage (2018)

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See detailPaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation
Husch, Andreas; Petersen, Mikkel V.; Gemmar, Peter; Goncalves, Jorge; Hertel, Frank

in NeuroImage: Clinical (2018), 17

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See detailPost-operative deep brain stimulation assessment: Automatic data integration and report generation
Husch, Andreas; Petersen, Mikkel V.; Gemmar, Peter; Goncalves, Jorge; Sunde, Niels; Hertel, Frank

in Brain Stimulation (2018)

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See detailUsing automated electrode localization to guide stimulation management in DBS
Petersen, Mikkel V.; Husch, Andreas; Parsons, Christine E.; Lund, Torben E.; Sunde, Niels; Østergaard, Karen

in Annals of Clinical and Translational Neurology (2018), 0(0),

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See detailIntegration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery
Husch, Andreas; Gemmar, Peter; Thunberg, Johan; Hertel, Frank

in Webster, Robert; Fei, Baowei (Eds.) Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling (2017, February 14)

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See detailFast Correspondences for Statistical Shape Models of Brain Structures
Bernard, Florian; Vlassis, Nikos; Gemmar, Peter; Husch, Andreas; Thunberg, Johan; Goncalves, Jorge; Hertel, Frank

in SPIE Medical Imaging (2016, March)

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See detailA solution for Multi-Alignment by Transformation Synchronisation
Bernard, Florian; Thunberg, Johan; Gemmar, Peter; Hertel, Frank; Husch, Andreas; Goncalves, Jorge

in The proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)

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See detailTransitively Consistent and Unbiased Multi-Image Registration Using Numerically Stable Transformation Synchronisation
Bernard, Florian; Thunberg, Johan; Salamanca Mino, Luis; Gemmar, Peter; Hertel, Frank; Goncalves, Jorge; Husch, Andreas

in MIDAS Journal (2015)

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See detailSusceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning
Hertel, Frank; Husch, Andreas; Dooms, Georges; Bernard, Florian; Gemmar, Peter

in Stereotactic & Functional Neurosurgery (2015), 93(5), 303-308

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See detailAssessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation
Husch, Andreas; Gemmar, Peter; Lohscheller, Jörg; Bernard, Florian; Hertel, Frank

in Handels, Heinz; Deserno, Thomas Martin; Meinzer, Hans-Peter; Tolxdorff, Thomas (Eds.) Bildverarbeitung für die Medizin 2015 (2015)

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See detailAn Extensible Development Environment for 3D Segmentations based on Active Shape Models
Bernard, Florian; Gemmar, Peter; Husch, Andreas; Hertel, Frank

in Shape Symposium (2014)

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See detailImproving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation
Bernard, Florian; Gemmar, Peter; Husch, Andreas; Saleh, Christian; Neb, Heinrich; Dooms, Georges; Hertel, Frank

in Biomedizinische Technik. Biomedical Engineering (2014), 59(1), 131-134

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See detailDTI of the visual pathway - white matter tracts and cerebral lesions.
Hana, Ardian; Husch, Andreas; Gunness, Vimal Raj Nitish; Berthold, Christophe; Hana, Anisa; Dooms, Georges; Boecher Schwarz, Hans; Hertel, Frank

in Journal of visualized experiments : JoVE (2014), (90),

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