Experiences:

Mar. 2018 - Present: Senior research scientist at Fraunhofer MEVIS

Deep Learning, Image Segmentation, Automatic Image Analysis

Developing a No-code machine learning workbench, FastAPI, CI/CD, AutoML, MLFlow

June 2016 - Feb. 2018: Postdoctoral researcher, University of Bern, Bern, Switzerland.

Automatic Image Segmentation, Deep Learning, Patch Match, Statistical Shape Model

April 2010 - May 2016: Research Assistant, Institute for Surgical Technology and Biomechanics (ISTB), Bern, Switzerland

Finite Element Analysis, Image Registration, Statistical Shape Model

Mar. 2011­‐Dec. 2011: Internship in Idiap Research Institute, Martigny, Switzerland.

Project: “Visual Scene Recognition”.

Sep. 2010‐Feb. 2011: Internship in Idiap Research Institute, Martigny, Switzerland.

Project: “Multimodal Object Classification”.

Summer 2005: Internship in “Technology and Science Center”, Mashhad, Iran.

Project: “Developing a Software to Send ECG Signal of a Patient to his Doctor via Internet”.

Teaching Experiences:

                  Spring 2016: Teacher assistant, "Finite Element Analysis I", University of Bern

                  Fall 2013: Teacher assistant, "Medical Image Processing Laboratory", University of Bern

                  Spring 2010: Lecturer, "Microprocessors", Azad University of Mashhad.

                  Spring 2009: Teacher assistant, "Digital Signal Processing", Sharif University of Technology.

                  Spring 2009: Teacher assistant, "Digital Design", Sharif University of Technology.

                  Fall 2005: Teacher assistant, "Theory of Machines and Languages", Azad University of Mashhad.

                  Spring 2006: Teacher assistant, "Microprocessors", Azad University of Mashhad.

Selected Publications:

• • • M. Finster, Maxim Moinat, and Elham Taghizadeh, ETL: From the German Health Data Lab data formats to the OMOP Common Data Model, PlosOne, 2025.

    • E. Taghizadeh, O. Truffer, F. Becce, S. Eminian, S. Gidoin, A. Terrier, A. Farron, and P. Büchler, Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets, European radiology, 2020.

    • E. Taghizadeh, A. Terrier, F. Becce, A. Farron & P. Büchler, Automated CT bone segmentation using statistical shape modelling and local template matching, Computer Methods in Biomechanics and Biomedical Engineering, 2019.

    • T. Lange, E. Taghizadeh, B. R. Knowles, N. P. Südkamp, M. Zaitsev, H. Meine†, K. Izadpanah†, Quantification of patellofemoral cartilage deformation and contact area changes in response to static loading via high‐resolution MRI with prospective motion correction, JMRI, 2019 (†: shared last authorship).

    • A. Latypova, E. Taghizadeh, F. Becce, P. Büchler, B. M. Jolles, D. P. Pioletti, A. Terrier, Patellar bone strain after total knee arthroplasty is correlated with bone mineral density and body mass index, Medical Engineering & Physics, 2019

    • O. Lieger, M. Schaub, E. Taghizadeh†, P. Büchler†, How symmetrical are bony orbits in humans?, Journal of Oral and Maxillofacial Surgery (JOMS), 2018 (†: shared last authorship).

    • E. Taghizadeh, V. Chandran, M. Reyes, P. Zysset, and P. Büchler, Statistical Analysis of the Inter-Individual Variations of the Bone Shape, Volume Fraction and Fabric and Their Correlations in the Proximal Femur, Journal of Bone, 2017.

    • E. Taghizadeh, S. Berger, F. Becce, A. Terrier, A. Farron, and P. Büchler, Is the Glenoid Orientation and Curvature Radius Symmetric on the Left and Right Scapula?, EFORT Congress, 2017.

    • A. Latypova, E. Taghizadeh, F. Becce, P. Büchler, B. Jolles, D. P Pioletti and A. Terrier, Patient-Specific Estimation of Patelar Strains After Total Knee Replacement,  ESB congress, 2016.

    • E. Taghizadeh, M. Reyes, P. Zysset, A. Latypova, A. Terrier, and P. Büchler, Biomechanical Role of Bone Anisotropy Estimated on Clinical CT Scans by Image Registration, Annals of Biomedical Engineering, 2016.

    • E. Taghizadeh, M. Kistler, P. Büchler, and M. Reyes, Fast Prediction of Femoral Biomechanics Using Supervised Machine Learning and Statistical Shape Modeling, In: Joldes G., Doyle B., Wittek A., Nielsen P., Miller K. (eds) Computational Biomechanics for Medicine. Springer, Cham, 2016.

    • E. Taghizadeh, M. Magimai Doss “Multimodal NMF Object Classification,” Technical report, Idiap research Institute, 2011.

    • S. Prasath Elango, E. Taghizadeh, and B. Caputo, “Indoor Place Categorization with Visual and 3D Range Features”, Technical report, Idiap research Institute, 2011.

    • E. Taghizadeh, Z. Sadeghipoor, and M. T. Manzuri, “Semi-­polynomial Kernel Optimization Based on the Fisher Method,” Machine Learning for Signal Processing, 18-21 September, 2011 Beijing, China.

    • E. Taghizadeh, “A Review on Digital Design, ”Arshad press, 2009, (for undergraduate students who prepare themselves to take a national university entrance exam for graduate studies in Iran).

Academic Background:

• Computer Science

  • Statistics and probability

  • Algorithms

  • Data structures

  • Discrete math

• Image and Video Processing

  • Medical image processing

  • Image reconstruction

  • Image segmentation

• Computer vision

  • Pattern recognition

  • Statistical shape models

  • Machine learning

• Biomechanics

  • Tissue biomechanics