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Tanno, Ryutaro
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1

Generative models improve fairness of medical classifiers u..:

Ktena, Ira ; Wiles, Olivia ; Albuquerque, Isabela...
Nature Medicine.  30 (2024)  4 - p. 1166-1173 , 2024
Link: https://doi.org/10.1038/..
 
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2

Deep learning for the prediction of clinical outcomes in in..:

Prasad, Niranjani ; Chien, Isabel ; Regan, Tim...
PLOS ONE.  18 (2023)  11 - p. e0272685 , 2023
Link: https://doi.org/10.1371/..
 
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3

Learning from multiple annotators for medical image segment..:

Zhang, Le ; Tanno, Ryutaro ; Xu, Moucheng...
Pattern Recognition.  138 (2023)  - p. 109400 , 2023
Link: https://doi.org/10.1016/..
 
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4

Low-field magnetic resonance image enhancement via stochast..:

Lin, Hongxiang ; Figini, Matteo ; D'Arco, Felice...
Medical Image Analysis.  87 (2023)  - p. 102807 , 2023
Link: https://doi.org/10.1016/..
 
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5

Active label cleaning for improved dataset quality under re..:

Bernhardt, Mélanie ; Castro, Daniel C. ; Tanno, Ryutaro...
Nature Communications.  13 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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6

Uncertainty for Safe Utilization of Machine Learning in Med.. 

Lecture Notes in Computer Science, 13563
Sudre, Carole H ; Baumgartner, Christian F ; Dalca, Adrian... - 1st ed. 2022 . , 2022
Link: https://doi.org/10.1007/..
 
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7

Contributors:

, In: Biomedical Image Synthesis and Simulation,
Acosta, Oscar ; Arridge, Simon ; Barateau, Anais... - p. ix-xv , 2022
Link: https://doi.org/10.1016/..
 
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8

Uncertainty quantification in medical image synthesis:

, In: Biomedical Image Synthesis and Simulation,
Barbano, Riccardo ; Arridge, Simon ; Jin, Bangti. - p. 601-641 , 2022
Link: https://doi.org/10.1016/..
 
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9

Uncertainty modelling in deep learning for safer neuroimage..:

Tanno, Ryutaro ; Worrall, Daniel E. ; Kaden, Enrico...
NeuroImage.  225 (2021)  - p. 117366 , 2021
Link: https://doi.org/10.1016/..
 
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10

A Principled Approach to Failure Analysis and Model Repairm..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,
Henn, Thomas ; Sakamoto, Yasukazu ; Jacquet, Clément... - p. 509-518 , 2021
Link: https://doi.org/10.1007/..
 
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11

Uncertainty for Safe Utilization of Machine Learning in Med.. 

Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12959
Sudre, Carole H ; Licandro, Roxane ; Baumgartner, Christian... - 1st ed. 2021 . , 2021
Link: https://doi.org/10.1007/..
 
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12

Foveation for Segmentation of Mega-Pixel Histology Images:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,
Jin, Chen ; Tanno, Ryutaro ; Xu, Moucheng.. - p. 561-571 , 2020
Link: https://doi.org/10.1007/..
 
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13

Learning to Segment When Experts Disagree:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,
Zhang, Le ; Tanno, Ryutaro ; Bronik, Kevin... - p. 179-190 , 2020
Link: https://doi.org/10.1007/..
 
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14

Uncertainty for Safe Utilization of Machine Learning in Med.. 

Image Processing, Computer Vision, Pattern Recognition, and Graphics, 12443
Sudre, Carole H ; Fehri, Hamid ; Arbel, Tal... - 1st ed. 2020 . , 2020
Link: https://doi.org/10.1007/..
 
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15

Multi-stage Prediction Networks for Data Harmonization:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2019,
Blumberg, Stefano B. ; Palombo, Marco ; Khoo, Can Son... - p. 411-419 , 2019
Link: https://doi.org/10.1007/..
 
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