Jérôme Schmid

Professeur HES ordinaire

Filière Technicien en radiologie médicale

Téléphone de service : +41 22 558 58 74

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Profil

Projets Ra&D

DeepDAT

Investigating techniques of artificial intelligence for the diagnosis of Parkinson’s disease with Dopamine SPECT imaging

(2022 - En cours)

Jérôme Schmid, Valentina Garibotto (Service de médecine nucléaire, Hôpitaux Universitaires de Genève)

Thématique(s) et méthode(s): Vieillir en bonne santé, Recherche clinique, Technologie de la santé

SUBREAM

Smart And Ultrafast Breast MR Imaging For Cancer Detection

(2022 - En cours)

Belinda Lokaj, Jérôme Schmid, Jean-Noël Hyacinthe, Christophe Chênes, Christian Lovis (Hôpitaux Universitaires de Genève, Service des sciences de l’information médicale), Karen Kinkel (Réseau hospitalier neuchâtelois, Département d'imagerie médicale)

Thématique(s) et méthode(s): Vieillir en bonne santé, Santé des femmes et de la famille, Recherche clinique, Technologie de la santé

Intelligence artificielle et transformation de la profession TRM

(2021 - En cours)

Jérôme Schmid, Séverine Rey (HESAV), Azal Al-Musibli

Thématique(s) et méthode(s): Pratiques professionnelles, Technologie de la santé

AIRx

Investigating techniques of artificial intelligence in the teaching of radiography

(2019 - 2020)

Jérôme Schmid, Christophe Chênes, Azal Al-Musibli, Meryam Butt (HES-SO Master)

Thématique(s) et méthode(s): Pratiques professionnelles, Technologie de la santé, Transfert de connaissances

High-temp. tolerant X-ray imaging detector

High-temperature tolerant X-ray imaging detector for medical applications in harsh environments

(2018 - 2020)

Jérôme Schmid, Christophe Chênes, Prof. Jean-Philippe Thiran (EPFL), Dr. Francis Verdun (CHUV), Dr. Hubert Blanchard (Pristem SA)

Thématique(s) et méthode(s): Pratiques professionnelles, Technologie de la santé

FAI

Development and Validation of A Multi-modal Image-based Model Generation Method for Non-invasive Dynamic Assessment of Femoroacetabular Impingement (FAI)

(2016 - 2019)

Jérôme Schmid, Christophe Chênes, Prof. Guoyan Zheng (University of Bern), Prof. Moritz Tannast (University of Bern)

Thématique(s) et méthode(s): Vieillir en bonne santé, Réhabilitation, Technologie de la santé

MyPlanner – une solution personnalisée pour l’arthroplastie totale basée sur la radiographie conventionnelle

MyPlanner: implementing advanced processing of clinical 2D X-ray imaging into optimal individualized planning and intraoperative assistance for total joint arthroplasty

(2016 - 2018)

Jérôme Schmid, Christophe Chênes, Lazhari Assassi, Elodie Ambrosetti, Massimiliano Bernardoni (Medacta International SA, Castel San Pietro, Tessin)

Thématique(s) et méthode(s): Vieillir en bonne santé, Réhabilitation, Technologie de la santé

2D-3D hip : évaluez votre recalage 2D-3D

(2014 - En cours)

Fabio D'Isidoro (ETHZ, the Laboratory for Orthopaedic Technology), Jérôme Schmid, Christophe Chênes Stephen Ferguson (ETHZ The Laboratory for Orthopaedic Technology)

Thématique(s) et méthode(s): Vieillir en bonne santé

GlobalDiagnostiX:diagnostique approprié pour les hôpitaux des pays en voie de développement

La filière TRM de la HEdS

(2012 - 2018)

Klaus Schönenberger (EssentialMed), Eric Fleury, Jonathan Marquis, Jérôme Schmid, Christophe Chênes, Frederic Jaquenod

Thématique(s) et méthode(s): Santé des femmes et de la famille, Pratiques professionnelles, Technologie de la santé

MyHip

Planification et support chirurgical individualisés pour l’arthroplastie totale de la hanche

(2011 - 2014)

Jérôme Schmid, Christophe Chênes, Massimiliano Bernardoni (Medacta International SA, Castel San Pietro, TI), Caecilia Charbonnier (Fondation Artanim, Genève), Panayiotis Christofilopoulos (Hôpitaux Universitaires de Genève)

Thématique(s) et méthode(s): Vieillir en bonne santé, Réhabilitation, Technologie de la santé

Publications

X-ray imaging detector for radiological applications adapted to the context and requirements of low- and middle-income countries

Chavarria, M. A., Huser, M. , Blanc, S. , Monnin, P. , Schmid, J., Chênes, C. , Assassi, L. , Blanchard, H., Sahli, R., Thiran, J. P. , Salathé, R. , Schönenberger, K. (2022). Review of Scientific Instruments, 93(3), 17 pages.

https://doi.org/10.1063/5.0077985

A new 2D-3D registration gold-standard dataset for the hip joint based on uncertainty modeling

D’Isidoro, F., Chênes, C., Ferguson, S.J., Schmid, J. (2021). Medical Physics , 48(10), 5991-6006.

https://doi.org/10.1002/mp.15124

Revisiting contour-driven and knowledge-based deformable models : application to 2D-3D proximal femur reconstruction from X-ray images

Schmid, J. , Chênes, C. (2021). Proceedings of Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

http://doi.org/10.1007/978-3-030-87231-1_44

Deformable multisurface segmentation of the spine for orthopedic surgery planning and simulation

Haq, R., Schmid, J. , Borgie, R. , Cates, J. , Audette, M. (2020). Journal of Medical Imaging, 7(1), 1-37.

https://doi.org/10.1117/1.JMI.7.1.015002

Segmentation of the proximal femur in radial MR scans using a random forest classifier and deformable model registration

Damopoulos, D., Lerch, T. D., Schmaranzer, F., Tannast, M., Chênes, C., Zheng, G., Schmid, J. (2019). International Journal of Computer Assisted Radiology and Surgery, 14 (3), 545-561.

https://doi.org/10.1007/s11548-018-1899-z

An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography

Huang, R., Nedanoski, A., Fletcher, D. F., Singh, N., Schmid, J., Young, P. M. , Stow, N., Bi, L., Traini, D., Wong, E., Phillips, C. L., Grunstein, R. R. , Kin, J. (2019). Computers in biology and medicine, 115, 1-8.

https://doi.org/10.1016/j.compbiomed.2019.103505

Towards a deformable multi-surface approach to ligamentous spine models for predictive simulation-based scoliosis surgery planning

Audette, M. A., Schmid, J., Goodmurphy, C., Polanco, M., Bawab, S., Tapp, A., St-Clair, H. S. (2018). Proceedings of MICCAI Computational Methods and Clinical Applications for Spine Imaging, Granada, Spain, Lecture Notes for Computer Science (LNCS), 11397, 90-102.

https://doi.org/10.1007/978-3-030-13736-6_8

MyHip: supporting planning and surgical guidance for a better total hip arthroplasty : A pilot study

Schmid, J., Chenes, C., Chague, S., Hoffmeyer, P., Christofilopoulos, P., Bernardoni, M., Charbonnier, C. (2015). International Journal of Computer Assisted Radiology and Surgery, 10 (10), 1547-56.

https://doi.org/10.1007/s11548-015-1177-2

Analysis of hip range of motion in everyday life: a pilot study

Charbonnier, C., Chague, S., Schmid, J., Kolo, F. C., Bernardoni, M., Christofilopoulos, P. (2015). Hip International, 25 (1), 82-90.

https://doi.org/10.5301/hipint.5000192

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

Schmid, J., Chênes, C. (2014). Computer Vision, LNCS )004 (Pt II), 674-687.

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

MyHip: personalized planning and surgical guidance in total hip arthroplasty

Schmid, J., Chênes, C., Chagué, S., Christofilopoulos, P., Charbonnier, C., Bernardoni, M. (2014). Proc. of Swiss Congress for Health Professions (SCHP) Bern, Switzerland

Computer-assisted total hip arthroplasty: from pre-operative planning to post-operative assessment

Schmid, J., Chênes, C., Chagué, S., Hoffmeyer, P., Christofilopoulos, P., Bernardoni, M., Charbonnier, C. (2014). Proc. of 14th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS) Milan, Italy

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). Swiss Medical Weekly, Suppl. 204 (144), 37S.

Accuracy assessment of Hip Clinical Exam

Christofilopoulos, P., Chagué, S., Schmid, J., Bartolone, P., Hoffmeyer, P., Charbonnier, C. (2013). Swiss Medical Weekly, Suppl. 198 (143), 27S.

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). Proc. of the 26th Annual Congress of the International Society of Technology in Arthroplasty (ISTA) Miami, Florida

Hip range of motion in everyday life

Christofilopoulos, P., Chagué, S., Schmid, J., Hoffmeyer, P., Charbonnier, C. (2013). Swiss Medical Weekly, Suppl. 198 (143), 27S.

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). Medical & Biological Engineering & Computing, 50 (6), 595-604.

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

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

Schmid, J., Kim, J., Magnenat-Thalmann, N. (2011). International Journal of Computer Assisted Radiology and Surgery, 6 (1), 47-57.

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

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). WCET Journal
, 27 (2), 141-151.

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). Visual Computer, 27 (2), 85-95.

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

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

Schmid, J., Kim, J., Magnenat-Thalmann, N. (2011). Medical Image Analysis, 15 (1), 155-168.

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

Collaborative semantic content management: an ongoing case study for imaging applications

Ciuciu, I., Meersman, R., Schmid, J., Magnenat-Thalmann, N., Iglesias Guitián, J. A., Gobbetti, E. (2010). Proceedings of the 11th European Conference on Knowledge Management. Universidade Lusíada de Vila Nova de Famalicão Portugal, 257-267.

Collaborative telemedicine for interactive multiuser segmentation of volumetric medical images

Han, S., Nijdam, N. A., Schmid, J., Kim, J., Magnenat-Thalmann, N. (2010). WCET Journal
, 26 (6-8), 639-648.

A comprehensive methodology to visualize articulations for the physiological human

Magnenat-Thalmann, N., Schmid, J., Assassi, L., Volino, P. (2010). Proc. Cyberworlds. IEEE Computer Society Singapore, 1-8.

https://doi.org/10.1109/CW.2010.41

Coupled registration-segmentation: application to femur analysis with intra-subject multiple levels of detail MRI data

Schmid, J., Kim, J., Magnenat-Thalmann, N. (2010). International Conference on Medical Image Computing and Computer-Assisted Intervention Beijing, China, LNCS 6362 (2), 562-569.

https://doi.org/10.1007/978-3-642-15745-5_69

Musculoskeletal simulation model generation from MRI datasets and motion capture data

Schmid, J., Sandholm, A., Chung, F., Thalmann, D., Delingette, H., Magnenat-Thalmann, N. (2009). Recent Advances in the 3D Physiological Human, 3-19.

https://doi.org/10.1007/978-1-84882-565-9_1

Interactive segmentation of volumetric medical images for collaborative telemedicine

Schmid, J., Nijdam, N. A., Han, S., Kim, J., Magnenat-Thalmann, N. (2009). 3D Physiological Human Workshop, LNCS 5903, 13-24.

https://doi.org/10.1007/978-3-642-10470-1_2

3d anatomical modelling and simulation concepts

Magnenat-Thalmann, N. , Schmid, J., Delingette, H., Guitian, J. I., Agus, M. (2009). Proceeding Tutorial Notes of Eurographics, 6, 241-247.

Virtual hip joint: from computer graphics to computer-assisted diagnosis

Charbonnier, C., Schmid, J., Kolo-Christophe, F., Magnenat-Thalmann, N., Becker, C., Hoffmeyer, P. (2009). Eurographics—First Medical Prize, Eurographics Association, Munich, Germany, 1-4.

Reconstruction 3D des structures anatomiques des membres inférieurs

Chung, F., Schmid, J., Clatz, O., Magnenat-Talmann, N., Delingette, H. (2009). ORASIS'09-Congrès des jeunes chercheurs en vision par ordinateur, 1-8.

From MRI to anatomical simulation of the hip joint

Assassi, L., Charbonnier, C., Schmid, J., Volino, P., Magnenat‐Thalmann, N. (2009). Computer Animation and Virtual Worlds, 20 (1), 53-66.

https://doi.org/10.1002/cav.266

Multimedia application to the simulation of human musculoskeletal system: A visual lower limb model from multimodal captured data

Magnenat-Thalmann, N., Charbonnier, C., Schmid, J. (2008). Multimedia Signal Processing, 2008 IEEE 10th Workshop on, 520-525.

https://doi.org/10.1109/MMSP.2008.4665133

MRI bone segmentation using deformable models and shape priors

Schmid, J., Magnenat-Thalmann, N. (2008). Proc. International conference on medical image computing and computer-assisted intervention (MICCAI), LNCS 5241, 119-126.

https://doi.org/10.1007/978-3-540-85988-8_15

Advanced da Vinci surgical system simulator for surgeon training and operation planning

Sun, L.-W., Van Meer, F., Schmid, J., Bailly, Y., Thakre, A. A., Yeung, C. K. (2007). International Journal of Medical Robotics and Computer Assisted Surgery, 3 (3), 245-251.

https://doi.org/10.1002/rcs.139

Multi-scale adaptive mask 3D rigid registration of ultrasound and CT images

Zhang, Z., Schmid, J., Soo, M. K., Bailly, Y., Yeung, C. K. (2007). Proc. BMVC, 1-10.

Optimal trocar port placement and pose selection of the da vinci robot for collision free interventions in robotically-assisted endoscopic surgery

Sun, L. W., Van Meer, F., Schmid, J., Thakre, A. A., Yeung, C. K. (2007). Proc. MIRA

Design and development of a medical robot simulator for da Vinci robot with kinematics constraints and contact force feedback

Sun, L. W., Van Meer, F., Philippi, J., Schmid, J., Thakre, A. A., Yeung, C. K. (2007). Proc. MIRA