Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
4.F: High-Performance Computing
Time:
Thursday, 05/Sept/2024:
10:30am - 12:00pm

Chair I: Oliver Röhrle
Location: 09.019

KII, Keplerstraße 17, Stuttgart 9th floor, Room no. 019

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Presentations
10:30am - 10:45am
4.F: 1

HPC in Biomechanics - Challenges, Current Research and Future Opportunities

Johannes Gebert, Benjamin Schnabel

High-Performance Computing Center Stuttgart, Germany



10:45am - 11:00am
4.F: 2

A user interface to facilitate visualization and integration of predictions for mechanical femur strength.

Massimiliano Mercuri1, Filippo Nardini2, Cristina Curreli3, Antonino A. La Mattina3, Sabato Mellone2, Marco Viceconti1,3

1Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.; 2Department of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy; 3Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano 1/10, 40136, Bologna, Italy.



11:00am - 11:15am
4.F: 3

Enhancing large-scale cohort simulations through integrated HPC infrastructure and model execution environment

Karol Zając1, Taras Zhyhulin1, Piotr Nowakowski1,2, Jan Meizner1,2, Bartosz Baliś1, Konrad Czerepak1, Marek Kasztelnik2, Piotr Połeć2, Sara Oliviero3, Maciej Malawski1,2

1Sano - Centre for Computational Personalized Medicine, Kraków, Poland; 2ACC Cyfronet AGH, Kraków, Poland; 3Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Bologna, Italy



11:15am - 11:30am
4.F: 4

Code verification of contact analysis using a micro-finite-element solver

Frederik Max Trommer1,2, Pinaki Bhattacharya1,2

1Department of Mechanical Engineering, University of Sheffield, United Kingdom; 2Insigneo Institute for in silico Medicine



11:30am - 11:45am
4.F: 5

Classification of retinal vein occlusion and diabetic macular edema with deep learning in OCT images

Guilherme Barbosa1, Eduardo da Silva Carvalho1, Ana Guerra1, Nilza Ramião1, Marco Parente1,2, Sónia Torres-Costa3,4, Manuel Falcão3,4

1INEGI - Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal; 2DEMec - Department of Mechanical Engineering, Faculty of Engineering of University of Porto (FEUP), Porto, Portugal; 3Surgery and Physiology Department, Faculty of Medicine of University of Porto (FMU; 4Ophthalmology Department, ULS São Joao, Porto, Portugal



 
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