Tristan Aumentado-Armstrong
Tristan Aumentado-Armstrong
University of Toronto, Samsung Artificial Intelligence Centre Toronto
Verified email at - Homepage
Cited by
Cited by
Algorithmic approaches to protein-protein interaction site prediction
TT Aumentado-Armstrong, B Istrate, RA Murgita
Algorithms for Molecular Biology 10 (1), 7, 2015
Molecular mechanism of DRP1 assembly studied in vitro by cryo-electron microscopy
K Basu, D Lajoie, T Aumentado-Armstrong, J Chen, RI Koning, B Bossy, ...
PloS one 12 (6), e0179397, 2017
Geometric disentanglement for generative latent shape models
T Aumentado-Armstrong, S Tsogkas, A Jepson, S Dickinson
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor
CJ Bendell, S Liu, T Aumentado-Armstrong, B Istrate, PT Cernek, S Khan, ...
BMC bioinformatics 15 (1), 82, 2014
Boutiques: a flexible framework to integrate command-line applications in computing platforms
T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, P Bellec, R Bernard, ...
GigaScience 7 (5), giy016, 2018
Latent Molecular Optimization for Targeted Therapeutic Design
T Aumentado-Armstrong
arXiv preprint arXiv:1809.02032, 2018
Electrosensory midbrain neurons display feature invariant responses to natural communication stimuli
T Aumentado-Armstrong, MG Metzen, MKJ Sproule, MJ Chacron
PLoS computational biology 11 (10), e1004430, 2015
Towards robust bisimulation metric learning
M Kemertas, T Aumentado-Armstrong
Advances in Neural Information Processing Systems 34, 4764-4777, 2021
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation
T Aumentado-Armstrong, A Levinshtein, S Tsogkas, KG Derpanis, ...
2020 International Conference on 3D Vision (3DV), 230-240, 2020
Conduction in the Heart Wall: Helicoidal Fibers Minimize Diffusion Bias
T Aumentado-Armstrong, A Kadivar, P Savadjiev, SW Zucker, K Siddiqi
Scientific reports 8 (1), 1-10, 2018
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models
T Aumentado-Armstrong, S Tsogkas, S Dickinson, A Jepson
arXiv preprint arXiv:2103.00142, 2021
Cartan Frames for Heart Wall Fiber Motion
B Samari, T Aumentado-Armstrong, G Strijkers, M Froeling, K Siddiqi
International Conference on Functional Imaging and Modeling of the Heart, 32-41, 2017
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
VS Bhaskara, T Aumentado-Armstrong, AD Jepson, A Levinshtein
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Denoising moving heart wall fibers using cartan frames
B Samari, T Aumentado-Armstrong, G Strijkers, M Froeling, K Siddiqi
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Stochastic Heat Kernel Estimation on Sampled Manifolds
T Aumentado‐Armstrong, K Siddiqi
Computer Graphics Forum 36 (5), 131-138, 2017
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
A Mirzaei, T Aumentado-Armstrong, KG Derpanis, J Kelly, MA Brubaker, ...
arXiv preprint arXiv:2211.12254, 2022
Representing 3D Shapes with Probabilistic Directed Distance Fields
T Aumentado-Armstrong, S Tsogkas, S Dickinson, AD Jepson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Boutiques: A descriptive command-line framework
T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, RF da Silva, ..., 2017
CBRAIN as a platform for Open Science
A Doyle, P Rioux, N Beck, T Aumentado-Armstrong, S Das, ME Rousseau, ...
Human Brain Mapping, 2017
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