| Ex machina: Personal attacks seen at scale E Wulczyn, N Thain, L Dixon Proceedings of the 26th international conference on world wide web, 1391-1399, 2017 | 568 | 2017 |
| Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ... NPJ digital medicine 2 (1), 1-10, 2019 | 266 | 2019 |
| The let-7 target gene mouse lin-41 is a stem cell specific E3 ubiquitin ligase for the miRNA pathway protein Ago2 A Rybak, H Fuchs, K Hadian, L Smirnova, EA Wulczyn, G Michel, R Nitsch, ... Nature cell biology 11 (12), 1411-1420, 2009 | 259 | 2009 |
| Deep learning-based survival prediction for multiple cancer types using histopathology images E Wulczyn, DF Steiner, Z Xu, A Sadhwani, H Wang, I Flament-Auvigne, ... PloS one 15 (6), e0233678, 2020 | 91 | 2020 |
| Why we read Wikipedia P Singer, F Lemmerich, R West, L Zia, E Wulczyn, M Strohmaier, ... Proceedings of the 26th international conference on world wide web, 1591-1600, 2017 | 85 | 2017 |
| Growing Wikipedia Across Languages via Recommendation E Wulczyn, R West, L Zia, J Leskovec WWW, 2016 | 47 | 2016 |
| Trust propagation with mixed-effects models J Overgoor, E Wulczyn, C Potts Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012 | 35 | 2012 |
| Wikipedia Clickstream E Wulczyn, D Taraborelli https://dx.doi.org/10.6084/m9.figshare.1305770.v12, 2015 | 25 | 2015 |
| Interpretable survival prediction for colorectal cancer using deep learning E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, F Tan, ... NPJ digital medicine 4 (1), 1-13, 2021 | 23 | 2021 |
| Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ... Communications Medicine 1 (1), 1-8, 2021 | 12 | 2021 |
| Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. NPJ Digit Med. 2019 K Nagpal, D Foote, Y Liu, PH Chen, E Wulczyn, F Tan | 11 | |
| Wikipedia talk labels: Toxicity N Thain, L Dixon, E Wulczyn Feb, 2017 | 9 | 2017 |
| Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images A Sadhwani, HW Chang, A Behrooz, T Brown, I Auvigne-Flament, H Patel, ... Scientific reports 11 (1), 1-11, 2021 | 6 | 2021 |
| Wikipedia clickstream. figshare. doi: 10.6084/m9. figshare. 1305770 E Wulczyn, D Taraborelli Accessed, 2015 | 6 | 2015 |
| Validation and clinical applicability of whole-volume automated segmentation of optical coherence tomography in retinal disease using deep learning M Wilson, R Chopra, MZ Wilson, C Cooper, P MacWilliams, Y Liu, ... JAMA ophthalmology 139 (9), 964-973, 2021 | 5 | 2021 |
| Identifying earmarks in congressional bills E Wulczyn, M Khabsa, V Vora, M Heston, J Walsh, C Berry, R Ghani Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 3 | 2016 |
| A deep learning system to predict disease-specific survival in stage II and stage III colorectal cancer E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, H Mueller, ... Cancer Research 80 (16 Supplement), 2096-2096, 2020 | 1 | 2020 |
| ARTIFICIAL INTELLIGENCE PREDICTION OF PROSTATE CANCER OUTCOMES C Mermel, Y Liu, N Manoj, M Symonds, M Stumpe, L Peng, K Nagpal, ... US Patent App. 17/453,953, 2022 | | 2022 |
| AI-based Gleason Grading for Stratification of Prostate Cancer Outcomes E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ... | | 2021 |
| Softmax RNN for Short Text Classification E Wulczyn, C Jacoby | | 2013 |
