Équipe AVR - Automatique Vision et Robotique

Chinedu Nwoye

De Équipe AVR - Automatique Vision et Robotique
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Bio

Nwoye C.I.D.

Chinedu Nwoye is a PhD student of University of Strasbourg and a scientific researcher at the ICube Laboratory, France. His supervisor is Prof. Nicolas Padoy.

He belongs to the research group: Computational Analysis and Modelling of Medical Activities (CAMMA) with the research focus on the development of new tools and methods to perceive, model and analyze clinician and surgical activities in the operating room (OR) using computer vision and deep learning.


Curriculum vitae

View his CV


Research topics

  • Surgical tool detection, localization, segmentation, and tracking in endoscopic videos.
  • Surgical fine-grained tool-activity recognition in laparoscopic videos (action triplet).
  • Developing new deep learning methods based on weak supervision, self supervision and spatio-temporal modeling on imperfect data.
  • Etc.


Recent Publications

  1. Nwoye, C. I., Mutter, D., Marescaux, J., & Padoy, N. (2019). Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos. International Journal of Computer Assisted Radiology and Surgery, 14(6), 1059-1067. (won 2019 IPCAI Best Audience Choice Award). | SpringerLink | arXiv PrePrint | supplementary video 1 | supplementary video 2.
  2. Nwoye, C.I., Gonzalez, C., Yu, T., Mascagni, P., Mutter, D., Marescaux, J. and Padoy, N., 2020. Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020. | SpringerLink | arXiv preprint arXiv:2007.05405 | supplementary material.


Contacts

1 Place de l’hôpital 67000 Strasbourg, FRANCE
Phone: +33 (0) 3 904 13 535
Email: nwoye@unistra.fr, cinwoye@etu.unistra.fr
Website: www.cidsoft.com/nwoyecid