Search Results for author: Shankeeth Vinayahalingam

Found 3 papers, 3 papers with code

Fully automated landmarking and facial segmentation on 3D photographs

1 code implementation19 Sep 2023 Bo Berends, Freek Bielevelt, Ruud Schreurs, Shankeeth Vinayahalingam, Thomas Maal, Guido de Jong

The training dataset was used to train the deep learning networks, whereas the test dataset was used to evaluate the performance of the automated workflow.

3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge

1 code implementation29 May 2023 Achraf Ben-Hamadou, Oussama Smaoui, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Hoyeon Lim, Minchang Kim, Minkyung Lee, Minyoung Chung, Yeong-Gil Shin, Mathieu Leclercq, Lucia Cevidanes, Juan Carlos Prieto, Shaojie Zhuang, Guangshun Wei, Zhiming Cui, Yuanfeng Zhou, Tudor Dascalu, Bulat Ibragimov, Tae-Hoon Yong, Hong-Gi Ahn, Wan Kim, Jae-Hwan Han, Byungsun Choi, Niels van Nistelrooij, Steven Kempers, Shankeeth Vinayahalingam, Julien Strippoli, Aurélien Thollot, Hugo Setbon, Cyril Trosset, Edouard Ladroit

To address these challenges, the 3DTeethSeg'22 challenge was organized in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in 2022, with a call for algorithms tackling teeth localization, segmentation, and labeling from intraoral 3D scans.

Anatomy Segmentation

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