Padoy, Nicolas

Statistical modeling and recognition of surgical workflow

Padoy, N., Blum, T., Ahmadi, S.-A., Feussner, H., Berger, M.-O., & Navab, N. (2012) · Medical Image Analysis

Surgical Simulation and TrainingTime Series Analysis and Forecasting

Cited by 279

Computer vision in surgery: from potential to clinical value

Mascagni, P., Alapatt, D., Sestini, L., Altieri, M. S., Madani, A., Watanabe, Y., Alseidi, A., Redan, J. A., Alfieri, S., Costamagna, G., et al. (2022) · npj Digital Medicine

Surgical Simulation and TrainingMedical Image Segmentation Techniques

Cited by 228

Federated benchmarking of medical artificial intelligence with MedPerf

Karargyris, A., Umeton, R., Sheller, M. J., Aristizabal, A., George, J., Wuest, A., Pati, S., Kassem, H., Zenk, M., Baid, U., et al. (2023) · Nature Machine Intelligence

Artificial Intelligence in Healthcare and EducationPrivacy-Preserving Technologies in Data

Cited by 188

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions

Vercauteren, T., Unberath, M., Padoy, N., & Navab, N. (2020) · Proceedings of the IEEE

Artificial Intelligence in Healthcare and EducationSurgical Simulation and Training

Cited by 125

Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms

Twinanda, A. P., Alkan, E. O., Gangi, A., de Mathelin, M., & Padoy, N. (2015) · International Journal of Computer Assisted Radiology and Surgery

Human Pose and Action RecognitionSurgical Simulation and Training

Cited by 45