Ryutaro Tanno

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 56

Top Topics

Multitask Learning

Top Venues

Publications

Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden
Advancing Multimodal Medical Capabilities of Gemini. CoRR (2024)
Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S. Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan
Towards Conversational Diagnostic AI. CoRR (2024)
Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
Capabilities of Gemini Models in Medicine. CoRR (2024)
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
Low-field magnetic resonance image enhancement via stochastic image quality transfer. Medical Image Anal. 87 (2023)
Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal
Generative models improve fairness of medical classifiers under distribution shifts. CoRR (2023)
Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR (2023)
Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan
Towards Generalist Biomedical AI. CoRR (2023)
Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare
An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning. CoRR (2023)
Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
Low-field magnetic resonance image enhancement via stochastic image quality transfer. CoRR (2023)
Talfan Evans, Shreya Pathak, Hamza Merzic, Jonathan Schwarz, Ryutaro Tanno, Olivier J. Hénaff
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding. CoRR (2023)
Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138 (2023)
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander
Learning to Downsample for Segmentation of Ultra-High Resolution Images. ICLR (2022)
Ryutaro Tanno, Melanie F. Pradier, Aditya V. Nori, Yingzhen Li
Repairing Neural Networks by Leaving the Right Past Behind. CoRR (2022)
Ryutaro Tanno, Melanie F. Pradier, Aditya V. Nori, Yingzhen Li
Repairing Neural Networks by Leaving the Right Past Behind. NeurIPS (2022)
Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya V. Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay
Active label cleaning: Improving dataset quality under resource constraints. CoRR (2021)
Thomas Henn, Yasukazu Sakamoto, Clément Jacquet, Shunsuke Yoshizawa, Masamichi Andou, Stephen Tchen, Ryosuke Saga, Hiroyuki Ishihara, Katsuhiko Shimizu, Yingzhen Li, Ryutaro Tanno
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging. CoRR (2021)
Thomas Henn, Yasukazu Sakamoto, Clément Jacquet, Shunsuke Yoshizawa, Masamichi Andou, Stephen Tchen, Ryosuke Saga, Hiroyuki Ishihara, Katsuhiko Shimizu, Yingzhen Li, Ryutaro Tanno
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging. MICCAI (3) (2021)
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander
Learning to Downsample for Segmentation of Ultra-High Resolution Images. CoRR (2021)
Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. NeuroImage 225 (2021)
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander
Foveation for Segmentation of Ultra-High Resolution Images. CoRR (2020)
Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR (2020)
Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander
Disentangling Human Error from Ground Truth in Segmentation of Medical Images. NeurIPS (2020)
Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander
Learning to Segment When Experts Disagree. MICCAI (1) (2020)
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander
Foveation for Segmentation of Mega-Pixel Histology Images. MICCAI (5) (2020)
Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D'Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients. CoRR (2020)
Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. CoRR (2019)
Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
Multi-stage Prediction Networks for Data Harmonization. MICCAI (4) (2019)
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. ICCV (2019)
Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes
Tapering Analysis of Airways with Bronchiectasis. CoRR (2019)
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob
Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection. MLMI@MICCAI (2019)
Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso
Let's agree to disagree: learning highly debatable multirater labelling. CoRR (2019)
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. CoRR (2019)
Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso
Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. MICCAI (4) (2019)
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion. CoRR (2019)
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
Learning Task-Specific and Shared Representations in Medical Imaging. MICCAI (4) (2019)
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori
Adaptive Neural Trees. ICML (2019)
Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement. CoRR (2019)
Chantal M. W. Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, S. Umesh Rudrapatna, C. John Evans, Samuel St-Jean, Alexander Leemans, Simon Koppers, Dorit Merhof, Aurobrata Ghosh, Ryutaro Tanno, Daniel C. Alexander, Stefano Zappalà, Cyril Charron, Slawomir Kusmia, David E. J. Linden, Derek K. Jones, Jelle Veraart
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. NeuroImage 195 (2019)
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion. CVPR (2019)
Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. MLMIR@MICCAI (2019)
Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander
Multi-Stage Prediction Networks for Data Harmonization. CoRR (2019)
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob
Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection. CoRR (2019)
Kin Quan, Ryutaro Tanno, Rebecca J. Shipley, Jeremy S. Brown, Joseph Jacob, John R. Hurst, David J. Hawkes
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis. CoRR (2019)
Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias P. Heinrich
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. MICCAI (2) (2018)
Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. MICCAI (1) (2018)
Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. CoRR (2018)
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. CoRR (2018)
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
Semi-Supervised Learning via Compact Latent Space Clustering. CoRR (2018)
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. MICCAI (4) (2018)
Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes
Tapering analysis of airways with bronchiectasis. Medical Imaging: Image Processing (2018)
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori
Adaptive Neural Trees. CoRR (2018)
Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori
Semi-Supervised Learning via Compact Latent Space Clustering. ICML (2018)
Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. MICCAI (1) (2017)
Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. CoRR (2017)
Daniel C. Alexander, Darko Zikic, Aurobrata Ghosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dyrby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi
Image quality transfer and applications in diffusion MRI. NeuroImage 152 (2017)
Ryutaro Tanno, Aurobrata Ghosh, Francesco Grussu, Enrico Kaden, Antonio Criminisi, Daniel C. Alexander
Bayesian Image Quality Transfer. MICCAI (2) (2016)