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Professeur HES ordinaire
Technique en radiologie médicale
jerome.schmid@hesge.ch
+41 22 558 58 74
Haute école de santé - Genève
Avenue de Champel 47, 1206 Genève, CH
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.
Orcid
ResearchGate
Scholar.google.fr
Domaine :
Santé
Filière principale :
Technique en radiologie médicale
Intelligence artificielle et médecine assistée par ordinateur
Acquisition et post-traitement des images radiologiques
Systèmes informatisés de santé
Mathématiques appliquées à l'imagerie radiologique
Propriétés de l'image numérique
Reconstruction, traitement et visualisation d'images radiologiques
Etude de cas multimodalités
Méthodologie de recherche
Intelligence artificielle et médecine assistée par ordinateur
Schmid, J., Chenes, C., Chague, S., Hoffmeyer, P., Christofilopoulos, P., Bernardoni, M., Charbonnier, C.
(2015). MyHip: supporting planning and surgical guidance for a better total hip arthroplasty : A pilot study : International Journal of Computer Assisted Radiology and Surgery.https://arodes.hes-so.ch/record/11279?ln=fr
Auteur(s) : Jérôme Schmid, Christophe Chênes
Schmid, J., Chênes, C., Chagué, S., Hoffmeyer, P., Christofilopoulos, P., Bernardoni, M., Charbonnier, C.
(2014). Computer-assisted total hip arthroplasty: from pre-operative planning to post-operative assessment : Proc. of 14th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS) Milan, Italy.Auteur(s) : Jérôme Schmid, Christophe Chênes
Schmid, J., Chênes, C., Chagué, S., Christofilopoulos, P., Charbonnier, C., Bernardoni, M.
(2014). MyHip: personalized planning and surgical guidance in total hip arthroplasty : Proc. of Swiss Congress for Health Professions (SCHP) Bern, Switzerland.Auteur(s) : Jérôme Schmid, Christophe Chênes
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
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
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
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
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
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
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
