Bernardino Romera‐Paredes

DeepMind (United Kingdom) — United Kingdom

Engineering · Physical Sciences

27h-index57.2kcitations39works7.02yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(7), Domain Adaptation and Few-Shot Learning(6), AI in cancer detection(5), Video Surveillance and Tracking Methods(4), Advanced Radiotherapy Techniques(4)

Publications39 total

Quantum circuit optimization with AlphaTensor
Nature Machine Intelligence·2025· 12 citedOpen Access
Quantum Circuit Optimization with AlphaTensor
arXiv (Cornell University)·2024· 2 citedOpen Access
Mathematical discoveries from program search with large language models
Nature·2023· 274 citedOpen Access
Discovering faster matrix multiplication algorithms with reinforcement learning
Nature·2022· 427 citedOpen Access
Applying and improving <scp>AlphaFold</scp> at <scp>CASP14</scp>
Proteins Structure Function and Bioinformatics·2021· 404 citedOpen Access
Highly accurate protein structure prediction for the human proteome
Nature·2021· 3.1k citedOpen Access
Highly accurate protein structure prediction with AlphaFold
Nature·2021· 42.1k citedOpen Access
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study
Journal of Medical Internet Research·2021· 316 citedOpen Access
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study (Preprint)
2020· 1 citedOpen Access
Addendum: International evaluation of an AI system for breast cancer screening
Nature·2020· 36 citedOpen Access
International evaluation of an AI system for breast cancer screening
Nature·2020· 2.9k citedOpen Access
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
arXiv (Cornell University)·2019· 27 citedOpen Access
Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer
Radiotherapy and Oncology·2019· 137 cited
The U-net and its impact to medical imaging (Conference Presentation)
Medical Imaging 2019: Computer-Aided Diagnosis·2019
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
arXiv (Cornell University)·2018· 248 citedOpen Access
Clinically applicable deep learning for diagnosis and referral in retinal disease
Nature Medicine·2018· 2.5k cited
Recurrent instance segmentation
QRU Quaderns de Recerca en Urbanisme·2018· 1 citedOpen Access
A Probabilistic U-Net for Segmentation of Ambiguous Images
arXiv (Cornell University)·2018· 151 citedOpen Access
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction
IEEE Signal Processing Magazine·2018· 137 cited
An Embarrassingly Simple Approach to Zero-Shot Learning
Advances in computer vision and pattern recognition·2017· 1.1k cited
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Frequent Co-authors

Nadia Bianchi‐Berthouze(10), Olaf Ronneberger(9), Clemens Meyer(8), Trevor Back(8), Pushmeet Kohli(8), Joseph R. Ledsam(8), Massimiliano Pontil(8), Stanislav Nikolov(7), Demis Hassabis(7), Jeffrey De Fauw(7), Min Hane Aung(7), Alan Karthikesalingam(6), Christopher Kelly(6), Mustafa Suleyman(6), Simon Köhl(5), Cían Hughes(5), Sam Blackwell(4), Harry Askham(4), Hugh Montgomery(4), Geraint Rees(4)