Obserwuj
Nenad Tomasev
Tytuł
Cytowane przez
Cytowane przez
Rok
Clinically Applicable Deep Learning for Diagnosis and Referral in Retinal Disease
J Defauw, J Ledsam, Romera-Paredes B., N S., T Nenad, B S., A H., ...
Nature Medicine, 2018
25762018
Gemini: A Family of Highly Capable Multimodal Models
G Team
https://arxiv.org/abs/2312.11805, 2023
25322023
Large language models encode clinical knowledge
K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ...
Nature 620 (7972), 172-180, 2023
23292023
A clinically applicable approach to continuous prediction of future acute kidney injury
Nature 572 (7767), 116-119, 2019
9762019
Toward expert-level medical question answering with large language models
K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, M Amin, L Hou, K Clark, ...
Nature Medicine, 1-8, 2025
7222025
Advancing mathematics by guiding human intuition with AI
A Davies, P Veličković, L Buesing, S Blackwell, D Zheng, N Tomašev, ...
Nature 600 (7887), 70-74, 2021
5432021
AI for social good: unlocking the opportunity for positive impact
N Tomašev, J Cornebise, F Hutter, S Mohamed, A Picciariello, B Connelly, ...
Nature Communications 11 (1), 2468, 2020
3092020
The role of hubness in clustering high-dimensional data
N Tomasev, M Radovanovic, D Mladenic, M Ivanovic
IEEE transactions on knowledge and data engineering 26 (3), 739-751, 2013
2352013
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
V Sounderajah, H Ashrafian, RM Golub, S Shetty, J De Fauw, L Hooft, ...
BMJ open 11 (6), e047709, 2021
2022021
Acquisition of chess knowledge in alphazero
T McGrath, A Kapishnikov, N Tomašev, A Pearce, M Wattenberg, ...
Proceedings of the National Academy of Sciences 119 (47), e2206625119, 2022
1882022
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ...
Nature Biomedical Engineering 7 (6), 756-779, 2023
1632023
Towards conversational diagnostic ai
T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ...
arXiv preprint arXiv:2401.05654, 2024
1522024
Capabilities of gemini models in medicine
K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ...
arXiv preprint arXiv:2404.18416, 2024
1372024
Fairness for unobserved characteristics: Insights from technological impacts on queer communities
N Tomasev, KR McKee, J Kay, S Mohamed
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 254-265, 2021
1022021
Pushing the limits of self-supervised resnets: Can we outperform supervised learning without labels on imagenet?
N Tomasev, I Bica, B McWilliams, L Buesing, R Pascanu, C Blundell, ...
arXiv preprint arXiv:2201.05119, 2022
1002022
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
N Tomašev, N Harris, S Baur, A Mottram, X Glorot, JW Rae, M Zielinski, ...
Nature Protocols 16 (6), 2765-2787, 2021
922021
A probabilistic approach to nearest-neighbor classification: Naive hubness bayesian knn
N Tomasev, M Radovanović, D Mladenić, M Ivanović
Proceedings of the 20th ACM international conference on Information and …, 2011
802011
Nearest neighbor voting in high-dimensional data: Learning from past occurrences
N Tomasev, D Mladenic
2011 IEEE 11th International Conference on Data Mining Workshops, 1215-1218, 2011
712011
Class imbalance and the curse of minority hubs
N Tomašev, D Mladenić
Knowledge-Based Systems 53, 157-172, 2013
672013
Automated analysis of retinal imaging using machine learning techniques for computer vision
JC Jeffrey De Fauw, Pearse Keane1, Nenad Tomasev, Daniel Visentin, George ...
F1000Research, 2016
63*2016
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20