Talks
For invitations, write to ryutaro.tanno10 at gmail dot com.
Past Talks
A selection of talks; I’ve given many more over the years than are listed here.
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Conversational Medical AI with Eyes, Ears and a Voice
Keynote, AI for Science European Summer School, Acropolis Museum · Athens, Greece
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LLMs for Healthcare: Progress and Challenges Ahead
Keynote, Oxford Machine Learning Summer School (OxML) · Oxford, UK
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Disentangling Human Error from the Ground Truth in Segmentation
CS 523: Research Seminar in Computer Vision and Healthcare, Stanford University · US · Invited by Julia Gong
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Modelling Uncertainty in Deep Learning for Safer Medical Image Processing
Research Seminar, Technische Universität München · Munich, Germany · Invited by Daniel Rueckert
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How To Teach Machines When Experts Disagree
VoxelTalk, MIT, CSAIL · Massachusetts, US · Invited by Adrian Dalca
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Modelling Uncertainty in Deep Learning for Safer Medical Image Processing
Keynote Talk, CDMRI workshop at MICCAI 2020 · Lima, Peru
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Modelling human uncertainty: how to teach machines when experts disagree with each other
Google DeepMind Health · Cambridge, UK · Invited by Alan Karthikesalingam
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Modelling human uncertainty: how to teach machines when experts disagree with each other
PyData Cambridge Meetup · Cambridge, UK · Invited by Ole Schulz-Trieglaff
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Neural Networks and Decision Trees
Microsoft London Lunch Seminar · London, UK · Invited by Nicola Cancedda
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Neural Networks and Decision Trees
London Machine Learning Meetup · London, UK · Invited by Martin Goodson
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なぜ不確実性をモデルする必要があるのか ~より安全なディープラーニングの医療画像解析応用に向けて
University of Tokyo Hospital, 22世紀医療センター, コンピュータ画像診断学／予防医学講座 · Tokyo, Japan · Invited by CIRCUS team
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なぜ不確実性をモデルする必要があるのか ~より安全なディープラーニングの医療画像解析応用に向けて
Hiroshima City University, Department of Information Science · Hiroshima, Japan · Invited by Prof. Yoshitaka Masutani
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How to Combine Neural Networks and Decision Trees
Imperial College London, Deep Learning Seminar · London, UK · Invited by Kai Arulkumaran
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Learning from noisy data: how to teach machines when doctors disagree with each other
NYU Langone Medical Center, Department of Radiology, CAI2R Seminar · New York, USA · Invited by Prof. Krzysztof J. Geras and Prof. Linda Moy
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How to Combine Neural Networks and Decision Trees
NYU, Courant Institute of Mathematical Science, CILVR seminar series · New York, USA · Invited by Prof. Kyunghyun Cho
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Exploring Uncertainty in dMRI Super-resolution via Probabilistic CNNs
Boston Children’s Hospital, Harvard Medical School · Massachusetts, US · Invited by Dr. Benoit Scherrer
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Exploring Uncertainty in dMRI Super-resolution via Probabilistic CNNs
NYU, Courant Institute of Mathematical Science, Lunch Seminar Series · New York, US · Invited by Dr. Carlos Fernandez-Granda
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Exploring Uncertainty in dMRI Super-resolution via Probabilistic CNNs
MIT, CSAIL Biomedical Imaging and Analysis Seminar Series · Massachusetts, US · Invited by Ruizhi Liao and Prof. Polina Golland
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Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution
MICCAI, Oral Presentation · Athens, Greece
Press and interviews
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Ground Truths (Eric Topol) · AMIE
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AI in Science: Promise and Peril
BBC Radio 4, Inside Science · AI Co-Scientist
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Can Google’s new research assistant AI give scientists ‘superpowers’?
New Scientist · AI Co-Scientist
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Google’s Med-Gemini surpasses industry standards
Fierce Healthcare · Med-Gemini
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Google Says Its Med-Gemini AI Healthcare Models Beat GPT-4
Forbes · Med-Gemini