| Deep predictive coding networks for video prediction and unsupervised learning W Lotter, G Kreiman, D Cox International Conference on Learning Representations (ICLR), 2017 | 1146 | 2017 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 366 | 2020 |
| Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach W Lotter, AR Diab, B Haslam, JG Kim, G Grisot, E Wu, K Wu, JO Onieva, ... Nature medicine 27 (2), 244-249, 2021 | 333 | 2021 |
| Recurrent computations for visual pattern completion H Tang*, M Schrimpf*, W Lotter*, C Moerman, A Paredes, JO Caro, ... Proceedings of the National Academy of Sciences 115 (35), 8835-8840, 2018 | 236 | 2018 |
| A multi-scale CNN and curriculum learning strategy for mammogram classification W Lotter, G Sorensen, D Cox Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 223 | 2017 |
| Conditional infilling GANs for data augmentation in mammogram classification E Wu, K Wu, D Cox, W Lotter Image Analysis for Moving Organ, Breast, and Thoracic Images: Third …, 2018 | 182 | 2018 |
| Unsupervised learning of visual structure using predictive generative networks W Lotter, G Kreiman, D Cox International Conference on Learning Representations (ICLR), 2016 | 171 | 2016 |
| A neural network trained for prediction mimics diverse features of biological neurons and perception W Lotter, G Kreiman, D Cox Nature Machine Intelligence 2 (4), 210-219, 2020 | 132* | 2020 |
| Image analysis for moving organ, breast, and thoracic images E Wu, K Wu, D Cox, W Lotter, D Stoyanov, Z Taylor, B Kainz, G Maicas, ... Springer, 2018 | 32 | 2018 |
| Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection ML Marinovich, E Wylie, W Lotter, H Lund, A Waddell, C Madeley, ... EBioMedicine 90, 2023 | 31 | 2023 |
| External validation of an ensemble model for automated mammography interpretation by artificial intelligence W Hsu, DS Hippe, N Nakhaei, PC Wang, B Zhu, N Siu, ME Ahsen, ... JAMA network open 5 (11), e2242343-e2242343, 2022 | 27 | 2022 |
| Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms E Wu, K Wu, W Lotter arXiv preprint arXiv:2006.00086, 2020 | 24 | 2020 |
| Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection ML Marinovich, E Wylie, W Lotter, A Pearce, SM Carter, H Lund, ... BMJ open 12 (1), e054005, 2022 | 19 | 2022 |
| Radiologist preferences for artificial intelligence-based decision support during screening mammography interpretation N Hendrix, KP Lowry, JG Elmore, W Lotter, G Sorensen, W Hsu, GJ Liao, ... Journal of the American College of Radiology 19 (10), 1098-1110, 2022 | 11 | 2022 |
| Validation of a deep learning mammography model in a population with low screening rates K Wu, E Wu, Y Wu, H Tan, G Sorensen, M Wang, B Lotter NeurIPS 2019. Fair ML for Health Workshop, 2019 | 9 | 2019 |
| Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions W Lotter, MJ Hassett, N Schultz, KL Kehl, EM Van Allen, E Cerami Cancer Discovery 14 (5), 711-726, 2024 | 8 | 2024 |
| Stable 3D head direction signals in the primary visual cortex G Guitchounts, W Lotter, J Dapello, D Cox biorxiv, 2020.09. 04.283762, 2020 | 7 | 2020 |
| Impact of a categorical AI system for digital breast tomosynthesis on breast cancer interpretation by both general radiologists and breast imaging specialists JG Kim, B Haslam, AR Diab, A Sakhare, G Grisot, H Lee, J Holt, CI Lee, ... Radiology: Artificial Intelligence 6 (2), e230137, 2024 | 4 | 2024 |
| Multi-organ immune-related adverse events from immune checkpoint inhibitors and their downstream implications: a retrospective multicohort study G Wan, W Chen, S Khattab, K Roster, N Nguyen, B Yan, A Rajeh, J Seo, ... The Lancet Oncology 25 (8), 1053-1069, 2024 | 3 | 2024 |
| The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation SL McNamara, PH Yi, W Lotter NPJ Digital Medicine 7 (1), 80, 2024 | 3 | 2024 |
