On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization. - Stephen Gould; Basura Fernando; Anoop Cherian; Peter Anderson 001; Rodrigo Santa Cruz; Edison Guo (CoRR, 2016)

DeepPermNet: Visual Permutation Learning. - Rodrigo Santa Cruz; Basura Fernando; Anoop Cherian; Stephen Gould (CVPR, 2017)

Neural Algebra of Classifiers. - Rodrigo Santa Cruz; Basura Fernando; Anoop Cherian; Stephen Gould (WACV, 2018)

Visual Permutation Learning. - Rodrigo Santa Cruz; Basura Fernando; Anoop Cherian; Stephen Gould (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Inferring Temporal Compositions of Actions Using Probabilistic Automata. - Rodrigo Santa Cruz; Anoop Cherian; Basura Fernando; Dylan Campbell; Stephen Gould (CVPR Workshops, 2020)

3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps. - Filip Rusak; Rodrigo Santa Cruz; Pierrick Bourgeat; Clinton Fookes; Jurgen Fripp; Andrew P. Bradley; Olivier Salvado (SASHIMI@MICCAI, 2020)

MongeNet: Efficient Sampler for Geometric Deep Learning. - Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Olivier Salvado (CVPR, 2021)

A Comparison of Saliency Methods for Deep Learning Explainability. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Elliot Smith 003; Andrew P. Bradley; Clinton Fookes; Olivier Salvado (DICTA, 2021)

Going Deeper With Brain Morphometry Using Neural Networks. - Rodrigo Santa Cruz; Léo Lebrat; Pierrick Bourgeat; Vincent Doré; Jason Dowling; Jurgen Fripp; Clinton Fookes; Olivier Salvado (ISBI, 2021)

Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Pierrick Bourgeat; Vincent Doré; Jurgen Fripp; Andrew P. Bradley; Clinton Fookes; Olivier Salvado (ISBI, 2021)

Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation. - Filip Rusak; Rodrigo Santa Cruz; Elliot Smith 003; Jurgen Fripp; Clinton Fookes; Pierrick Bourgeat; Andrew P. Bradley (SASHIMI@MICCAI, 2021)

CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. - Léo Lebrat; Rodrigo Santa Cruz; Frédéric de Gournay; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (NeurIPS, 2021)

DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. - Rodrigo Santa Cruz; Léo Lebrat; Pierrick Bourgeat; Clinton Fookes; Jurgen Fripp; Olivier Salvado (WACV, 2021)

CSIRO at ImageCLEFmedical Caption 2022. - Léo Lebrat; Aaron Nicolson; Rodrigo Santa Cruz; Gregg Belous; Bevan Koopman; Jason Dowling (CLEF (Working Notes), 2022)

CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. - Rodrigo Santa Cruz; Léo Lebrat; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (MICCAI (5), 2022)

Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely. - Filip Rusak; Rodrigo Santa Cruz; Elliot Smith 003; Jurgen Fripp; Clinton Fookes; Pierrick Bourgeat; Andrew P. Bradley (DALI@MICCAI, 2022)

CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. - Léo Lebrat; Rodrigo Santa Cruz; Frédéric de Gournay; Darren Fu; Pierrick Bourgeat; Jurgen Fripp; Clinton Fookes; Olivier Salvado (CoRR, 2022)

Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. - Filip Rusak; Rodrigo Santa Cruz; Léo Lebrat; Ondrej Hlinka; Jurgen Fripp; Elliot Smith 003; Clinton Fookes; Andrew P. Bradley; Pierrick Bourgeat (Medical Image Anal., 2022)

Bias Identification with RankPix Saliency. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Andrew P. Bradley; Olivier Salvado (ICASSP, 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 (ISBI, 2023)

When to Use Augmentation - Variability Insufficient for Cortical Thickness Estimation Improvement. - Filip Rusak; Rodrigo Santa Cruz; Hilda Chourak; Elliot Smith 003; Jurgen Fripp; Clinton Fookes; Pierrick Bourgeat; Andrew P. Bradley (ISBI, 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 (WACV, 2023)

NeRF Director: Revisiting View Selection in Neural Volume Rendering. - Wenhui Xiao; Rodrigo Santa Cruz; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Léo Lebrat (CVPR, 2024)

Point-Supervised Seagrass Segmentation for 3D Underwater Habitat Mapping. - Miaohua Zhang; Rodrigo Santa Cruz; Yulia Arzhaeva; Xun Li; Brendan Do; Jeremy Oorloff; Mohammad Ali Armin; Zeeshan Hayder; David Ahmedt-Aristizabal (DICTA, 2024)

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. - Léo Lebrat; Rodrigo Santa Cruz; Remi Chierchia; Yulia Arzhaeva; Mohammad Ali Armin; Joshua Goldsmith; Jeremy Oorloff; Prithvi Reddy; Chuong Nguyen; Lars Petersson; Michelle Barakat-Johnson; Georgina Luscombe; et al. (ISBI, 2024)

Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. - Olivier Salvado; Salamata Konate; Rodrigo Santa Cruz; Andrew P. Bradley; Judy Wawira Gichoya; Laleh Seyyed-Kalantari; Brandon J. Price; Clinton Fookes; Léo Lebrat (ISBI, 2024)

Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. - Rongkai Ma; Léo Lebrat; Rodrigo Santa Cruz; Gil Avraham; Yan Zuo; Clinton Fookes; Olivier Salvado (CoRR, 2024)

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates. - Alejandro Ascarate; Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Olivier Salvado (IJCNN, 2025)

SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-Grade Videos. - Remi Chierchia; Léo Lebrat; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Rodrigo Santa Cruz (WACV, 2025)

Neural Radiance Fields for the Real World: A Survey. - Wenhui Xiao; Remi Chierchia; Rodrigo Santa Cruz; Xuesong Li 001; David Ahmedt-Aristizabal; Olivier Salvado; Clinton Fookes; Léo Lebrat (CoRR, 2025)

Wound3DAssist: A Practical Framework for 3D Wound Assessment. - Remi Chierchia; Rodrigo Santa Cruz; Léo Lebrat; Yulia Arzhaeva; Mohammad Ali Armin; Jeremy Oorloff; Chuong Nguyen; Olivier Salvado; Clinton Fookes; David Ahmedt-Aristizabal (CoRR, 2025)

Queryable 3D Scene Representation: A Multi-Modal Framework for Semantic Reasoning and Robotic Task Planning. - Xun Li; Rodrigo Santa Cruz; Mingze Xi; Hu Zhang 005; Madhawa Perera; Ziwei Wang; Ahalya Ravendran; Brandon J. Matthews; Feng Xu; Matt Adcock; Dadong Wang; Jiajun Liu (CoRR, 2025)