Adrian Johnston
Adrian Johnston
Co-Founder & CTO -
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Cited by
Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume
A Johnston, G Carneiro
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020
Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF
M VerMilyea, JMM Hall, SM Diakiw, A Johnston, T Nguyen, D Perugini, ...
Human Reproduction 35 (4), 770-784, 2020
Scaling cnns for high resolution volumetric reconstruction from a single image
A Johnston, R Garg, G Carneiro, I Reid, A van den Hengel
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Model-driven performance prediction of distributed real-time embedded defense systems
K Falkner, V Chiprianov, NJG Falkner, C Szabo, J Hill, G Puddy, D Fraser, ...
2013 18th International Conference on Engineering of Complex Computer …, 2013
3-D modeling from concept sketches of human characters with minimal user interaction
A Johnston, G Carneiro, R Ding, L Velho
2015 International Conference on Digital Image Computing: Techniques and …, 2015
Camera-agnostic self-annotating artificial intelligence (AI) system for blastocyst evaluation
M VerMilyea, JMM Hall, S Diakiw, A Johnston, TDMA Nguyen, A Lim, ...
ESHRE Virtual 36th Annual Meeting, 2020
Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation
A Johnston, G Carneiro
2019 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019
Single View 3D Reconstruction using Deep Learning
AR Johnston
An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos
SM Diakiw, JMM Hall, M VerMilyea, AYX Lim, W Quangkananurug, ...
Reproductive BioMedicine Online, 2022
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