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Michael Suttie
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2020 – today
- 2022
- [j2]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Facial Anatomical Landmark Detection Using Regularized Transfer Learning With Application to Fetal Alcohol Syndrome Recognition. IEEE J. Biomed. Health Informatics 26(4): 1591-1601 (2022) - 2021
- [j1]Floor A. M. Postema, Harold S. Matthews, Saskia M. J. Hopman, Johannes H. M. Merks, Michael Suttie, Hanne Hoskens, Hilde Peeters, Raoul C. Hennekam, Peter Claes, Peter Hammond:
3D analysis of facial morphology in Dutch children with cancer. Comput. Methods Programs Biomed. 205: 106093 (2021) - [i2]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition. CoRR abs/2109.05485 (2021) - 2020
- [c2]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Cross-Task Representation Learning for Anatomical Landmark Detection. MLMI@MICCAI 2020: 583-592 - [i1]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Cross-Task Representation Learning for Anatomical Landmark Detection. CoRR abs/2009.13635 (2020)
2010 – 2019
- 2019
- [c1]Ruobing Huang, Michael Suttie, J. Alison Noble:
An Automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape Analysis. UNSURE/CLIP@MICCAI 2019: 163-171
Coauthor Index
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