| Deep predictive coding networks for video prediction and unsupervised learning W Lotter, G Kreiman, D Cox International Conference of Learning Representations (ICLR), 2017 | 569 | 2017 |
| Unsupervised learning of visual structure using predictive generative networks W Lotter, G Kreiman, D Cox International Conference of Learning Representations (ICLR), 2016 | 114 | 2016 |
| 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 | 99 | 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 | 75 | 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, 98-106, 2018 | 70 | 2018 |
| 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 | 52 | 2020 |
| A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception W Lotter, G Kreiman, D Cox arXiv preprint arXiv:1805.10734, 2018 | 25 | 2018 |
| 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 | 15 | 2021 |
| 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 | 11 | 2020 |
| 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 | 4 | 2019 |
| Stable 3D Head Direction Signals in the Primary Visual Cortex G Guitchounts, W Lotter, J Dapello, D Cox bioRxiv, 2020 | 2 | 2020 |
| Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms E Wu, K Wu, W Lotter arXiv preprint arXiv:2006.00086, 2020 | | 2020 |
| Task dependent modulation before, during and after visually evoked responses in human intracranial recordings L Isik*, W Lotter*, N Crone, D Cox, N Kanwisher, W Anderson, G Kreiman Journal of Vision 17 (10), 983-983, 2017 | | 2017 |
| Prediction as a Rule for Unsupervised Learning in Deep Neural Networks WE Lotter | | 2017 |
