Dr. Norman Juchler

ZHAW Life Sciences und Facility Management
FG Medical Image Analysis and Data Modeling
Schloss
8820 Wädenswil

+41 (0) 58 934 56 87
norman.juchler@zhaw.ch

Netzwerk

Mitglied in Netzwerken

ORCID digital identifier

ORCID ID: 0000-0001-8518-7211

Projekte

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

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), S. 402-410.

Verfügbar unter: 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), S. 10303.

Verfügbar unter: 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), S. 634.

Verfügbar unter: 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).

Verfügbar unter: 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), S. 2261-2270.

Verfügbar unter: 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), S. 538-546.

Verfügbar unter: 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).

Verfügbar unter: 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.

Verfügbar unter: https://doi.org/10.1007/s00701-018-3712-8

Bücher und Monographien, peer-reviewed

Juchler, Norman,

2020.

Shape-based analysis of intracranial aneurysms.

University of Zurich.

Verfügbar unter: https://doi.org/10.5167/uzh-200995

Konferenzbeiträge, peer-reviewed

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, Hrsg.,

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.

S. 14-17.

Verfügbar unter: 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, Hrsg.,

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.

S. 703-705.

Verfügbar unter: 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, Hrsg.,

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.

S. 84-86.

Verfügbar unter: 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.

Verfügbar unter: 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.

S. 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.

S. 160.

Verfügbar unter: 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.

Weitere Publikationen

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.

Mündliche Konferenzbeiträge und Abstracts

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.

Zurück