| 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 | 2250 | 2020 |
| 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 | 1694 | 2021 |
| 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 | 399 | 2017 |
| 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 | 104 | 2017 |
| 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 | 99 | 2018 |
| 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 | 71 | 2018 |
| Protein complex prediction with AlphaFold-multimer. bioRxiv [Preprint](2021) R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green October, 2022 | 43 | 2022 |
| 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 | 43 | 2019 |
| 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 | 42 | 2017 |
| 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 | 40 | 2016 |
| Protein complex prediction with AlphaFold-Multimer. bioRxiv, 2021.10. 04.463034 R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ... | 33 | 2022 |
| 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 | 22 | |
| 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 | 17 | 2017 |
| 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 | 16 | 2018 |
| 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, ... | 14 | |
| Protein complex prediction with AlphaFold-Multimer. bioRxiv. 2021: 2021.10. 04.463034 R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ... View Article, 0 | 11 | |
| 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, ... | 10 | 2022 |
| 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 | 6 | 2016 |
| A Deep Learning Approach for Characterizing Major Galaxy Mergers S Koppula, V Bapst, M Huertas-Company, S Blackwell, ... arXiv preprint arXiv:2102.05182, 2021 | 3 | 2021 |
| 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 | 2 | 2022 |
