Dr. Norman Juchler

Network

ORCID digital identifier

ORCID ID: 0000-0001-8518-7211

Projects

• Stroke DynamiX / Team member / laufend
• Smart Hospital – Integrated Framework, Tools & Solutions (SHIFT) / Team member / laufend
• OSR4H – Open Set Recognition for Hematology / Team member / abgeschlossen
• Deep Brain Vessel Profiler / Team member / abgeschlossen
• AneuX / Team member / abgeschlossen

Publications

• Reissenberger, Pamela; Serfözö, Peter; Piper, Diana; Juchler, Norman; Glanzmann, Sara; Gram, Jasmin; Hensler, Karina; Tonidandel, Hannah; Börlin, Elena; D’Souza, Marcus; Badertscher, Patrick; Eckstein, Jens,

  2023.

  Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor.

  European Heart Journal - Digital Health.

  4(5), pp. 402-410.

  Available from: https://doi.org/10.1093/ehjdh/ztad039

• Bächinger, David; Filidoro, Noemi; Naville, Marc; Juchler, Norman; Kurtcuoglu, Vartan; Nadol, Joseph B.; Schuknecht, Bernhard; Kleinjung, Tobias; Veraguth, Dorothe; Eckhard, Andreas H.,

  2023.

  Radiological feature heterogeneity supports etiological diversity among patient groups in Meniere's disease.

  Scientific Reports.

  13(1), pp. 10303.

  Available from: https://doi.org/10.1038/s41598-023-36479-5

• Mack, Ines; Juchler, Norman; Rey, Sofia; Hirsch, Sven; Hoelz, Bianca; Eckstein, Jens; Bielicki, Julia,

  2022.

  Wearable technologies for pediatric patients with surgical infections : more than counting steps?.

  Biosensors.

  12(8), pp. 634.

  Available from: https://doi.org/10.3390/bios12080634

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2022.

  Shape trumps size : image-based morphological analysis reveals that the 3D shape discriminates intracranial aneurysm disease status better than aneurysm size.

  Frontiers in Neurology.

  13(809391).

  Available from: https://doi.org/10.3389/fneur.2022.809391

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Morel, Sandrine; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2020.

  Shape irregularity of the intracranial aneurysm lumen exhibits diagnostic value.

  Acta Neurochirurgica.

  162(9), pp. 2261-2270.

  Available from: https://doi.org/10.1007/s00701-020-04428-0

• Juchler, Norman; Schilling, Sabine; Glüge, Stefan; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2020.

  Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms.

  Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization.

  8(5), pp. 538-546.

  Available from: https://doi.org/10.1080/21681163.2020.1728579

• Detmer, Felicitas J.; Hadad, Sara; Chung, Bong Jae; Mut, Fernando; Slawski, Martin; Juchler, Norman; Kurtcuoglu, Vartan; Hirsch, Sven; Bijlenga, Philippe; Uchiyama, Yuya; Fujimura, Soichiro; Yamamoto, Makoto; Murayama, Yuichi; Takao, Hiroyuki; Koivisto, Timo; Frösen, Juhana; Cebral, Juan R.,

  2019.

  Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics.

  Neurosurgical Focus.

  47(1).

  Available from: https://doi.org/10.3171/2019.4.FOCUS19145

• Detmer, Felicitas J.; Fajardo-Jiménez, Daniel; Mut, Fernando; Juchler, Norman; Hirsch, Sven; Pereira, Vitor Mendes; Bijlenga, Philippe; Cebral, Juan R.,

  2018.

  External validation of cerebral aneurysm rupture probability model with data from two patient cohorts.

  Acta Neurochirurgica.

  Available from: https://doi.org/10.1007/s00701-018-3712-8

• Juchler, Norman,

  2020.

  Shape-based analysis of intracranial aneurysms.

  University of Zurich.

  Available from: https://doi.org/10.5167/uzh-200995

• Dupuy, Nicolas; Juchler, Norman; Morel, Sandrine; Kwak, Brenda R.; Hirsch, Sven; Bijlenga, Philippe,

  2022.

  Exploring intracranial aneurysm instability markers to improve disease modeling [paper].

  In:

  Nithiarasu, Perumal; Vergara, Christian, eds.,

  CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

  7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

  Computational and Mathematical Biomedical Engineering.

  pp. 14-17.

  Available from: https://doi.org/10.21256/zhaw-25387

• Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven,

  2022.

  Modeling the location-dependency of aneurysm shape : a morphometric comparative study [paper].

  In:

  Nithiarasu, Perumal; Vergara, Christian, eds.,

  CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

  7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

  Computational & Mathematical Biomedical Engineering.

  pp. 703-705.

  Available from: https://doi.org/10.21256/zhaw-25388

• Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven,

  2022.

  The role of shape for aneurysm risk assessment [paper].

  In:

  Nithiarasu, Perumal; Vergara, Christian, eds.,

  CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

  7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

  Computational & Mathematical Biomedical Engineering.

  pp. 84-86.

  Available from: https://doi.org/10.21256/zhaw-25386

• Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Ohta, Makoto,

  2020.

  Influence of input image configurations on output of a convolutional neural network to detect cerebral aneurysms [paper].

  In:

  International Mechanical Engineering Congress and Exposition : Volume 3 - biomedical and biotechnology engineering.

  2019 International Mechanical Engineering Congress and Exposition, IMECE2019, Salt Lake City, Utah, USA, 11-14 November 2019.

  The American Society of Mechanical Engineers.

  Available from: https://doi.org/10.1115/IMECE2019-11125

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2019.

  Identification of clinically relevant characteristics of intracranial aneurysm morphology [poster].

  In:

  1. Digital Health Lab Day (Life in Numbers 5), Wädenswil, 3. October 2019.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2019.

  Understanding morphological irregularity : a rater-based study [paper].

  In:

  CMBE19 Proceedings.

  6th International Conference on Computational and Mathematical Biomedical Engineering (CMBE19), Sendai City, Japan, 10-12 June 2019.

  Cardiff:

  Zeta Computational Resources.

  pp. 583.

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2017.

  Measuring the perceived morphological complexity of intracranial aneurysms [poster].

  In:

  Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology.

  SystemsX.ch Conference, Zurich, 4-7 September 2017.

  pp. 160.

  Available from: https://doi.org/10.3929/ethz-b-000176201

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2016.

  Shape-based assessment of intracranial aneurysm disease status – a machine learning approach [poster].

  In:

  All SystemsX.ch Day, Bern, 1 September 2016.

• Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven,

  2016.

  What's ugly? : shape-based analysis of intracranial aneurysms [poster].

  In:

  Latsis Symposium 2016 : Personalized Medicine, Zurich, 27-29 June 2016.

• Juchler, Norman; Ebnöther, Ueli; Schilling, Sabine; Hirsch, Sven; Kurtcuoglu, Vartan,

  2015.

  On the utility of 3D Zernike Moment Invariants to assess aneurysm disease status [poster].

  In:

  All SystemsX.ch Day, Bern, 15 September 2015.

• Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven,

  2016.

  Shape-based assessment of intracranial aneurysm disease status [poster].

  In:

  ZNZ Symposium 2016, Zurich, 15. September 2016.

• Musio, Fabio; Juchler, Norman; Yang, Kaiyuan; Menze, Björn; Hirsch, Sven,

  2023.

  Circle of Willis configurations in stroke patients.

  In:

  19th Interdisciplinary Cerebrovascular Symposium, Geneva, Switzerland, 17-19 August 2023.

• Hirsch, Sven; Juchler, Norman,

  2019.

  Real and assumed insights : statistical models and imaging biomarkers for disease characterization of intracranial aneurysms.

  In:

  1. Digital Health Lab Day (Life in Numbers 5), Wädenswil, 3. October 2019.

• Juchler, Norman; Schilling, Sabine; Watanabe, Kazuhiro; Anzai, Hitomi; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2018.

  Clinical data sharing : a data scientist's perspective.

  In:

  Life in Numbers 4, Wädenswil, 4 October 2018.

• Juchler, Norman; Schilling, Sabine; Philippe, Bijlenga; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2018.

  Reproducing qualitative irregularity ratings by means of quantitative shape descriptors in intracranial aneurysms.

  In:

  8th World Congress of Biomechanics (WCB2018), Dublin, Ireland, 8-12 July 2018.

• Juchler, Norman; Schilling, Sabine; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2018.

  Aneurysm shape as a diagnostic tool.

  In:

  Kick-Off Event: PhD Network in Data Science, Winterthur, 13. April 2018.

• Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

  2018.

  Aneurysm shape as a diagnostic tool : a machine learning approach.

  In:

  International Neurovascular Exploratory Workshop (iNEW'2018), Zürich, 7-9 February 2018.

• Anzai, Hitomi; Juchler, Norman; Bilenga, Philippe; Rüfenacht, Daniel; Wanke, Isabel; Hirsch, Sven,

  2018.

  Correlation of CFD with wall enhancement.

  In:

  iNEW, Zürich, 8. Februar 2018.

• Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Bijlenga, Philippe; Ohta, Makoto,

  2018.

  Effect of input image representation for results of neural network to detect cerebral aneurysms.

  In:

  31st Bioengineering Conference / 2018 Annual Meeting of BED/JSME, Koriyama, Japan, 14-15 December 2018.

• Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel,

  2018.

  Using machine learning to identify shape biomarkers in intracranial aneurysm.

  In:

  Life Science Zurich Impact, Zürich, 22 January 2018.

• Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel,

  2017.

  Big Data : machine learning to identify shape biomarkers in intracranial aneurysm.

  In:

  Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE), Winterthur, 30 August 2017.

• Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2017.

  Using shape descriptors to categorize intracranial aneurysms.

  In:

  CMBE17 : 5th International Conference on Computational and Mathematical Biomedical Engineering.

  CMBE 2017, Pittsburgh PA, USA, 10-12 April 2017.

• Anzai, Hitomi; Juchler, Norman; Ohta, Makoto; Hirsch, Sven; Rüfenacht, Daniel A.; Wanke, Isabel,

  2017.

  Where does CFD identify lesion instability in small aneurysms?.

  In:

  CMBE17 : 5th International Conference on Computational and Mathematical Biomedical Engineering.

  CMBE 2017, Pittsburgh PA, USA, 10-12 April 2017.

• Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

  2016.

  Shape-based modeling of aneurysmal disease status.

  In:

  ECCOMAS Congress 2016, Heraklion, Greece, 5-10 June 2016.

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