Bayesian Image Quality Transfer. - Ryutaro Tanno; Aurobrata Ghosh; Francesco Grussu; Enrico Kaden; Antonio Criminisi; Daniel C. Alexander (MICCAI (2), 2016)

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. - Ryutaro Tanno; Daniel E. Worrall; Aurobrata Ghosh; Enrico Kaden; Stamatios N. Sotiropoulos; Antonio Criminisi; Daniel C. Alexander (MICCAI (1), 2017)

Image quality transfer and applications in diffusion MRI. - Daniel C. Alexander; Darko Zikic; Aurobrata Ghosh; Ryutaro Tanno; Viktor Wottschel; Jiaying Zhang 001; Enrico Kaden; Tim B. Dyrby; Stamatios N. Sotiropoulos; Hui Zhang 005; Antonio Criminisi (NeuroImage, 2017)

Semi-Supervised Learning via Compact Latent Space Clustering. - Konstantinos Kamnitsas; Daniel Coelho de Castro; Loïc Le Folgoc; Ian Walker; Ryutaro Tanno; Daniel Rueckert; Ben Glocker; Antonio Criminisi; Aditya V. Nori (ICML, 2018)

Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. - Stefano B. Blumberg; Ryutaro Tanno; Iasonas Kokkinos; Daniel C. Alexander (MICCAI (1), 2018)

Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. - Felix J. S. Bragman; Ryutaro Tanno; Zach Eaton-Rosen; Wenqi Li 001; David J. Hawkes; Sébastien Ourselin; Daniel C. Alexander; Jamie R. McClelland; M. Jorge Cardoso (MICCAI (4), 2018)

AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. - Ryutaro Tanno; Antonios Makropoulos; Salim Arslan; Ozan Oktay; Sven Mischkewitz; Fouad Al-Noor; Jonas Oppenheimer; Ramin Mandegaran; Bernhard Kainz; Mattias P. Heinrich (MICCAI (2), 2018)

Tapering analysis of airways with bronchiectasis. - Kin Quan; Rebecca J. Shipley; Ryutaro Tanno; Graeme McPhillips; Vasileios Vavourakis; David Edwards; Joseph Jacob; John R. Hurst; David J. Hawkes (Image Processing, 2018)

Learning From Noisy Labels by Regularized Estimation of Annotator Confusion. - Ryutaro Tanno; Ardavan Saeedi; Swami Sankaranarayanan; Daniel C. Alexander; Nathan Silberman (CVPR, 2019)

Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. - Felix J. S. Bragman; Ryutaro Tanno; Sébastien Ourselin; Daniel C. Alexander; Manuel Jorge Cardoso (ICCV, 2019)

Adaptive Neural Trees. - Ryutaro Tanno; Kai Arulkumaran; Daniel C. Alexander; Antonio Criminisi; Aditya V. Nori (ICML, 2019)

Multi-stage Prediction Networks for Data Harmonization. - Stefano B. Blumberg; Marco Palombo; Can Son Khoo; Chantal M. W. Tax; Ryutaro Tanno; Daniel C. Alexander (MICCAI (4), 2019)

Learning Task-Specific and Shared Representations in Medical Imaging. - Felix J. S. Bragman; Ryutaro Tanno; Sébastien Ourselin; Daniel C. Alexander; M. Jorge Cardoso (MICCAI (4), 2019)

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. - 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; et al. (MLMIR@MICCAI, 2019)

Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection. - Kin Quan; Ryutaro Tanno; Michael Duong; Arjun Nair; Rebecca Shipley; Mark G. Jones; Christopher Brereton; John R. Hurst; David J. Hawkes; Joseph Jacob (MLMI@MICCAI, 2019)

Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. - 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 (MICCAI (4), 2019)

Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement. - Ryutaro Tanno; Daniel E. Worrall; Enrico Kaden; Aurobrata Ghosh; Francesco Grussu; Alberto Bizzi; Stamatios N. Sotiropoulos; Antonio Criminisi; Daniel C. Alexander (CoRR, 2019)

Reproducibility of an airway tapering measurement in CT with application to bronchiectasis. - Kin Quan; Ryutaro Tanno; Rebecca J. Shipley; Jeremy S. Brown; Joseph Jacob; John R. Hurst; David J. Hawkes (CoRR, 2019)

Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. - 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; et al. (NeuroImage, 2019)

Foveation for Segmentation of Mega-Pixel Histology Images. - Chen Jin; Ryutaro Tanno; Moucheng Xu; Thomy Mertzanidou; Daniel C. Alexander (MICCAI (5), 2020)

Learning to Segment When Experts Disagree. - Le Zhang 005; Ryutaro Tanno; Kevin Bronik; Chen Jin; Parashkev Nachev; Frederik Barkhof; Olga Ciccarelli; Daniel C. Alexander (MICCAI (1), 2020)

Disentangling Human Error from Ground Truth in Segmentation of Medical Images. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Chen Jin; Joseph Jacob; Olga Cicarrelli; Frederik Barkhof; Daniel C. Alexander (NeurIPS, 2020)

Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients. - 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; et al. (CoRR, 2020)

Foveation for Segmentation of Ultra-High Resolution Images. - Chen Jin; Ryutaro Tanno; Moucheng Xu; Thomy Mertzanidou; Daniel C. Alexander (CoRR, 2020)

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. - Le Zhang 005; Ryutaro Tanno; Mou-Cheng Xu; Chen Jin; Joseph Jacob; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (CoRR, 2020)

A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging. - Thomas Henn; Yasukazu Sakamoto; Clément Jacquet; Shunsuke Yoshizawa; Masamichi Andou; Stephen Tchen; Ryosuke Saga; Hiroyuki Ishihara; Katsuhiko Shimizu; Yingzhen Li; Ryutaro Tanno (MICCAI (3), 2021)

Active label cleaning: Improving dataset quality under resource constraints. - Melanie Bernhardt; Daniel C. Castro; Ryutaro Tanno; Anton Schwaighofer; Kerem Can Tezcan; Miguel Monteiro; Shruthi Bannur; Matthew P. Lungren; Aditya V. Nori; Ben Glocker; Javier Alvarez-Valle; Ozan Oktay (CoRR, 2021)

Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. - Ryutaro Tanno; Daniel E. Worrall; Enrico Kaden; Aurobrata Ghosh; Francesco Grussu; Alberto Bizzi; Stamatios N. Sotiropoulos; Antonio Criminisi; Daniel C. Alexander (NeuroImage, 2021)

Learning to Downsample for Segmentation of Ultra-High Resolution Images. - Chen Jin; Ryutaro Tanno; Thomy Mertzanidou; Eleftheria Panagiotaki; Daniel C. Alexander (ICLR, 2022)

Repairing Neural Networks by Leaving the Right Past Behind. - Ryutaro Tanno; Melanie F. Pradier; Aditya V. Nori; Yingzhen Li (NeurIPS, 2022)

Generative models improve fairness of medical classifiers under distribution shifts. - 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 (CoRR, 2023)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning. - Chen Jin; Ryutaro Tanno; Amrutha Saseendran; Tom Diethe; Philip Teare (CoRR, 2023)

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. - Ryutaro Tanno; David G. T. Barrett; Andrew Sellergren; Sumedh Ghaisas; Sumanth Dathathri; Abigail See; Johannes Welbl; Karan Singhal; Shekoofeh Azizi; Tao Tu 001; Mike Schaekermann; Rhys May; et al. (CoRR, 2023)

Low-field magnetic resonance image enhancement via stochastic image quality transfer. - 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; et al. (Medical Image Anal., 2023)

Learning from multiple annotators for medical image segmentation. - Le Zhang 005; Ryutaro Tanno; Moucheng Xu; Yawen Huang; Kevin Bronik; Chen Jin; Joseph Jacob; Yefeng Zheng 001; Ling Shao 001; Olga Ciccarelli; Frederik Barkhof; Daniel C. Alexander (Pattern Recognit., 2023)

Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding. - Talfan Evans; Shreya Pathak; Hamza Merzic; Jonathan Schwarz; Ryutaro Tanno; Olivier J. Hénaff (ECCV (17), 2024)

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning. - Chen Jin; Ryutaro Tanno; Amrutha Saseendran; Tom Diethe; Philip Teare (ICML, 2024)

Towards Conversational Diagnostic AI. - Tao Tu 001; Anil Palepu; Mike Schaekermann; Khaled Saab 003; Jan Freyberg; Ryutaro Tanno; Amy Wang; Brenna Li; Mohamed Amin; Nenad Tomasev; Shekoofeh Azizi; Karan Singhal; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Advancing Multimodal Medical Capabilities of Gemini. - 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; et al. (CoRR, 2024)

Towards Democratization of Subspeciality Medical Expertise. - Jack W. O'Sullivan; Anil Palepu; Khaled Saab 003; Wei-Hung Weng; Yong Cheng; Emily Chu; Yaanik Desai; Aly Elezaby; Daniel Seung Kim; Roy Lan; Wilson Tang; Natalie Tapaskar; et al. (CoRR, 2024)

Exploring Large Language Models for Specialist-level Oncology Care. - Anil Palepu; Vikram Dhillon; Polly Niravath; Wei-Hung Weng; Preethi Prasad; Khaled Saab 003; Ryutaro Tanno; Yong Cheng; Hanh Mai; Ethan Burns; Zainub Ajmal; Kavita Kulkarni; et al. (CoRR, 2024)

Diffusion Instruction Tuning. - Chen Jin; Ryutaro Tanno; Amrutha Saseendran; Tom Diethe; Philip Teare (CoRR, 2025)

Towards an AI co-scientist. - Juraj Gottweis; Wei-Hung Weng; Alexander N. Daryin; Tao Tu 001; Anil Palepu; Petar Sirkovic; Artiom Myaskovsky; Felix Weissenberger; Keran Rong; Ryutaro Tanno; Khaled Saab 003; Dan Popovici; et al. (CoRR, 2025)

Towards Conversational AI for Disease Management. - Anil Palepu; Valentin Liévin; Wei-Hung Weng; Khaled Saab 003; David Stutz; Yong Cheng; Kavita Kulkarni; S. Sara Mahdavi; Joelle K. Barral; Dale R. Webster; Katherine Chou; Avinatan Hassidim; et al. (CoRR, 2025)

Advancing Conversational Diagnostic AI with Multimodal Reasoning. - Khaled Saab 003; Jan Freyberg; Chunjong Park; Tim Strother; Yong Cheng; Wei-Hung Weng; David G. T. Barrett; David Stutz; Nenad Tomasev; Anil Palepu; Valentin Liévin; Yash Sharma; et al. (CoRR, 2025)

Towards physician-centered oversight of conversational diagnostic AI. - Elahe Vedadi; David G. T. Barrett; Natalie Harris; Ellery Wulczyn; Shashir Reddy; Roma Ruparel; Mike Schaekermann; Tim Strother; Ryutaro Tanno; Yash Sharma; Jihyeon Lee; Cían Hughes; et al. (CoRR, 2025)