Ryutaro Tanno
Ryutaro Tanno
Senior Research Scientist, Google DeepMind
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Zitiert von
Zitiert von
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
R Tanno, A Saeedi, S Sankaranarayanan, DC Alexander, N Silberman
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Adaptive Neural Trees
R Tanno, K Arulkumaran, DC Alexander, A Criminisi, A Nori
International Conference on Machine Learning (ICML), 2019
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in Diffusion MRI Super-Resolution
R Tanno, D E. Worrall, A Ghosh, E Kaden, S N. Sotiropoulos, A Criminisi, ...
MICCAI, Best Paper Award 10433, 611-619, 2017
Towards generalist biomedical AI
T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ...
NEJM AI 1 (3), AIoa2300138, 2024
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
R Tanno, D E. Worrall, E Kaden, A Gosh, F Grussu, A Bizzi, ...
NeuroImage, 2020
Image quality transfer and applications in diffusion MRI
DC Alexander, D Zikic, A Ghosh, R Tanno, V Wottschel, J Zhang, E Kaden, ...
NeuroImage 152, 283-298, 2017
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms
CMW Tax, F Grussu, E Kaden, L Ning, U Rudrapatna, CJ Evans, ...
NeuroImage 195, 285-299, 2019
Semi-Supervised Learning via Compact Latent Space Clustering
K Kamnitsas, DC Castro, LL Folgoc, I Walker, R Tanno, D Rueckert, ...
International Conference on Machine Learning (ICML), 2018, 2018
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
L Zhang*, R Tanno*, M Xu, C Jin, J Jacob, O Ciccarelli, F Barkhof, ...
Neural Information Processing Systems (NeurIPS) 34, 2020
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
FJS Bragman*, R Tanno*, S Ourselin, DC Alexander, MJ Cardoso
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019
Evaluation of deep learning to augment image-guided radiotherapy for head and neck and prostate cancers
O Oktay, J Nanavati, A Schwaighofer, D Carter, M Bristow, R Tanno, ...
JAMA network open 3 (11), e2027426-e2027426, 2020
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning
F J.S. Bragman*, R Tanno*, Z Eaton-Rosen, W Li, D J. Hawkes, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Towards Conversational Diagnostic AI
T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ...
arXiv preprint arXiv:2401.05654, 2024
Active label cleaning: Improving dataset quality under resource constraints
M Bernhardt*, DC Castro*, R Tanno*, A Schwaighofer, KC Tezcan, ...
Nature Communications, 2021
Deeper image quality transfer: Training low-memory neural networks for 3D images
SB Blumberg, R Tanno, I Kokkinos, DC Alexander
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Learning to Downsample for Segmentation of Ultra-High Resolution Images
C Jin, R Tanno, T Mertzanidou, E Panagiotaki, DC Alexander
International Conference on Learning Representations (ICLR), 2022
Bayesian Image Quality Transfer
R Tanno, A Ghosh, F Grussu, E Kaden, A Criminisi, DC Alexander
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 …, 2016
Let's agree to disagree: learning highly debatable multirater labelling
CH Sudre, BG Anson, S Ingala, CD Lane, D Jimenez, L Haider, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Capabilities of Gemini Models in Medicine
K Saab*, T Tu*, WH Weng*, R Tanno*, D Stutz, E Wulczyn, F Zhang, ...
arXiv preprint arXiv:2404.18416, 2024
Multi-Stage Prediction Networks for Data Harmonization
SB Blumberg, M Palombo, CS Khoo, CMW Tax, R Tanno, DC Alexander
International Conference on Medical Image Computing and Computer-Assisted …, 2019
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