Gregg Belous

According to our database, Gregg Belous authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations.

Joshua Peters, Léo Lebrat, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous, Salamata Konate, Parnesh Raniga, Vincent Doré, Pierrick Bourgeat, Jurgen Mejan-Fripp, Clinton Fookes, Olivier Salvado

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation.

Léo Lebrat, Rodrigo Santa Cruz, Reuben Dorent, Javier Urriola Yaksic, Alex M. Pagnozzi, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

CSIRO at ImageCLEFmedical Caption 2022.

Léo Lebrat, Aaron Nicolson, Rodrigo Santa Cruz, Gregg Belous, Bevan Koopman, Jason Dowling

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Dual subspace discriminative projection learning.

Gregg Belous, Andrew Busch, Yongsheng Gao

Pattern Recognit., 2021

Shape prior model via dual subspace segment projection learning.

Gregg Belous, Andrew Busch, Yongsheng Gao

Comput. Methods Programs Biomed., 2021

2018

Online Relational Manifold Learning for Multiview Segmentation in Echocardiography.

Gregg Belous, Andrew Busch, David D. Rowlands, Yongsheng Gao

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2016

Segmentation of the Left Ventricle in Echocardiography Using Contextual Shape Model.

Gregg Belous, Andrew Busch, David D. Rowlands, Yongsheng Gao

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016