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Jérôme Schmid

Jérôme Schmid

Professeur HES ordinaire

Technique en radiologie médicale IR-HEdS

  • Profil
  • Enseignements
  • Publications

Contact

jerome.schmid@hesge.ch
+41 22 558 58 74

Haute école de santé - Genève
Avenue de Champel 47, 1206 Genève, CH

Présentation

Prof. Jérôme Schmid has been working for many years in medical image processing and understanding, focusing on segmentation and registration. He specialized in physically-based deformable models applied to the modeling of the human musculoskeletal system. Prof. Schmid also explored the combination of deformable models with machine learning, as well as the use of deep learning for computer-assisted diagnosis such as bone fracture recognition in wrist radiographs, Parkinson’s disease detection in SPECT imaging or breast lesion detection in dynamic MRI. Application of artificial intelligence for pedagogic purpose were also explored by his team when devising the AIRx training prototype to simulate the realistic generation of radiographs.

Since 2011, Prof. Schmid and his team at HES-SO have built up a strong expertise in computer-assisted diagnosis and image-guided surgery in several research projects funded by public and private sectors, including the Swiss National Science Foundation, the Swiss Innovation Agency and various swiss foundations.

Liens

Orcid
ResearchGate
Scholar.google.fr

Compétences

Imagerie médicale Artificial Intelligence (AI) Traitement d'images Digital image processing Signal Processing (Images/Video) Computer Vision Machine Learning

Domaine : Santé
Filière principale : Technique en radiologie médicale

MSc HES-SO/UNIL en Sciences de la santé - HES-SO Master

Intelligence artificielle et médecine assistée par ordinateur

Acquisition et post-traitement des images radiologiques

Systèmes informatisés de santé

Mathématiques appliquées à l'imagerie radiologique

BSc HES-SO en Technique en radiologie médicale - Haute école de santé - Genève

46 publications

Post-operative kinematics assessment in patients after total hip arthroplasty : a pilot study

Charbonnier, C., Chagué, S., Chênes, C., Hoffmeyer, P., Christofilopoulos, P., Bernardoni, M. , Schmid, J.

(2014). Post-operative kinematics assessment in patients after total hip arthroplasty : a pilot study : Swiss Medical Weekly.


Auteur(s) : Christophe Chênes, Jérôme Schmid

Article scientifique

Segmentation of X-ray images by 3D-2D registration based on multibody physics

Schmid, J., Chênes, C.

(2014). Segmentation of X-ray images by 3D-2D registration based on multibody physics : Computer Vision.

https://doi.org/10.1007/978-3-319-16808-1_45


Auteur(s) : Jérôme Schmid, Christophe Chênes

Chapitre de livre

Accuracy assessment of Hip Clinical Exam

Christofilopoulos, P., Chagué, S., Schmid, J., Bartolone, P., Hoffmeyer, P., Charbonnier, C.

(2013). Accuracy assessment of Hip Clinical Exam : Swiss Medical Weekly.


Auteur(s) : Jérôme Schmid

Article scientifique

Hip range of motion in everyday life

Christofilopoulos, P., Chagué, S., Schmid, J., Hoffmeyer, P., Charbonnier, C.

(2013). Hip range of motion in everyday life : Swiss Medical Weekly.


Auteur(s) : Jérôme Schmid

Article scientifique

Using motion capture and MRI to accurately determine the hip range of motion in everyday life

Christofilopoulos, P., Chagué, S., Schmid, J., Bartolone, P., Hoffmeyer, P., Charbonnier, C.

(2013). Using motion capture and MRI to accurately determine the hip range of motion in everyday life : Proc. of the 26th Annual Congress of the International Society of Technology in Arthroplasty (ISTA) Miami, Florida.


Auteur(s) : Jérôme Schmid

Papier de conférence

Sensitivity of hip tissues contact evaluation to the methods used for estimating the hip joint center of rotation

Arbabi, E., Schmid, J., Boulic, R., Thalmann, D., Magnenat-Thalmann, N.

(2012). Sensitivity of hip tissues contact evaluation to the methods used for estimating the hip joint center of rotation : Medical & Biological Engineering & Computing.

https://doi.org/10.1007/s11517-012-0873-0


Auteur(s) : Jérôme Schmid

Article scientifique

A GPU framework for parallel segmentation of volumetric images using discrete deformable models

Schmid, J., Guitián, J. A. I., Gobbetti, E., Magnenat-Thalmann, N.

(2011). A GPU framework for parallel segmentation of volumetric images using discrete deformable models : Visual Computer.

https://doi.org/10.1007/s00371-010-0532-0


Auteur(s) : Jérôme Schmid

Article scientifique

Comparison of statistical models performance in case of segmentation using a small amount of training datasets

Chung, F., Schmid, J., Magnenat-Thalmann, N., Delingette, H.

(2011). Comparison of statistical models performance in case of segmentation using a small amount of training datasets : WCET Journal
.


Auteur(s) : Jérôme Schmid

Article scientifique

Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures

Schmid, J., Kim, J., Magnenat-Thalmann, N.

(2011). Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures : International Journal of Computer Assisted Radiology and Surgery.

https://doi.org/10.1007/s11548-010-0474-z


Auteur(s) : Jérôme Schmid

Article scientifique

Robust statistical shape models for MRI bone segmentation in presence of small field of view

Schmid, J., Kim, J., Magnenat-Thalmann, N.

(2011). Robust statistical shape models for MRI bone segmentation in presence of small field of view : Medical Image Analysis.

https://doi.org/10.1016/j.media.2010.09.001


Auteur(s) : Jérôme Schmid

Article scientifique