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Natasha Antropova
Natasha Antropova
DeepMind
Dirección de correo verificada de google.com
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International evaluation of an AI system for breast cancer screening
SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ...
Nature 577 (7788), 89-94, 2020
23552020
Protein complex prediction with AlphaFold-Multimer
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
biorxiv, 2021.10. 04.463034, 2021
19362021
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
10102023
A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets
N Antropova, BQ Huynh, ML Giger
Medical physics 44 (10), 5162-5171, 2017
4042017
Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms
H Li, ML Giger, BQ Huynh, NO Antropova
Journal of medical imaging 4 (4), 041304-041304, 2017
1032017
Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks
N Antropova, H Abe, ML Giger
Journal of Medical Imaging 5 (1), 014503-014503, 2018
982018
Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival “early on” in neoadjuvant treatment of breast cancer
K Drukker, H Li, N Antropova, A Edwards, J Papaioannou, ML Giger
Cancer imaging 18, 1-9, 2018
732018
Protein complex prediction with AlphaFold-Multimer. 2022; bioRxiv doi: 10 March 2022, preprint: not peer reviewedhttps
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
doi. org/10.1101/2021.10 4, 0
47
Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks
N Antropova, B Huynh, H Li, ML Giger
Journal of Medical Imaging 6 (1), 011002-011002, 2019
462019
Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning
BQ Huynh, N Antropova, ML Giger
Medical imaging 2017: computer-aided diagnosis 10134, 207-213, 2017
422017
SU‐D‐207B‐06: Predicting breast cancer malignancy on DCE‐MRI data using pre‐trained convolutional neural networks
N Antropova, B Huynh, M Giger
Medical physics 43 (6Part4), 3349-3350, 2016
412016
Protein complex prediction with AlphaFold-multimer. bioRxiv [Preprint](2022)
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
31
Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI
N Antropova, B Huynh, M Giger
Medical imaging 2017: Computer-aided diagnosis 10134, 369-373, 2017
172017
Recurrent neural networks for breast lesion classification based on DCE-MRIs
N Antropova, B Huynh, M Giger
Medical imaging 2018: Computer-aided diagnosis 10575, 593-598, 2018
162018
Protein complex prediction with AlphaFold-multimer. bioRxiv 2021.10. 04.463034 [Preprint]. 10 March 2022
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
16
Protein complex prediction with AlphaFold-Multimer. bioRxiv, 2021.2010. 2004.463034
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
152022
Efficient iterative image reconstruction algorithm for dedicated breast CT
N Antropova, A Sanchez, IS Reiser, EY Sidky, J Boone, X Pan
Medical Imaging 2016: Physics of Medical Imaging 9783, 1222-1227, 2016
62016
Protein complex prediction with AlphaFold-Multimer. bioRxiv. p. 2021.10. 04.463034
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
42021
A Deep Learning Approach for Characterizing Major Galaxy Mergers
S Koppula, V Bapst, M Huertas-Company, S Blackwell, ...
arXiv preprint arXiv:2102.05182, 2021
32021
System and Method for Interpretation of Multiple Medical Images Using Deep Learning
S McKinney, M Sieniek, V Godbole, S Shetty, N Antropova, J Godwin, ...
US Patent App. 17/597,876, 2022
22022
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