| 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 | 2208 | 2020 |
| End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography D Ardila, AP Kiraly, S Bharadwaj, B Choi, JJ Reicher, L Peng, D Tse, ... Nature medicine 25 (6), 954-961, 2019 | 1666 | 2019 |
| Chest radiograph interpretation with deep learning models: assessment with radiologist-adjudicated reference standards and population-adjusted evaluation A Majkowska, S Mittal, DF Steiner, JJ Reicher, SM McKinney, GE Duggan, ... Radiology 294 (2), 421-431, 2020 | 248 | 2020 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 145 | 2021 |
| Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol V Sounderajah, H Ashrafian, RM Golub, S Shetty, J De Fauw, L Hooft, ... BMJ open 11 (6), e047709, 2021 | 130 | 2021 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, B Menze arXiv. org, 2022 | 125* | 2022 |
| A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI V Sounderajah, H Ashrafian, S Rose, NH Shah, M Ghassemi, R Golub, ... Nature medicine 27 (10), 1663-1665, 2021 | 86 | 2021 |
| Spotting words in Latin, Devanagari and Arabic scripts SN Srihari, H Srinivasan, C Huang, S Shetty Vivek-Bombay- 16 (3), 2, 2006 | 73 | 2006 |
| Segmentation and labeling of documents using conditional random fields S Shetty, H Srinivasan, M Beal, S Srihari Document Recognition and Retrieval XIV 6500, 256-264, 2007 | 69 | 2007 |
| Automatic scoring of short handwritten essays in reading comprehension tests S Srihari, J Collins, R Srihari, H Srinivasan, S Shetty, J Brutt-Griffler Artificial Intelligence 172 (2-3), 300-324, 2008 | 64 | 2008 |
| Document image retrieval using signatures as queries SN Srihari, S Shetty, S Chen, H Srinivasan, C Huang, G Agam, O Frieder Second International Conference on Document Image Analysis for Libraries …, 2006 | 62 | 2006 |
| Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 Z Nabulsi, A Sellergren, S Jamshy, C Lau, E Santos, AP Kiraly, W Ye, ... Scientific reports 11 (1), 15523, 2021 | 39 | 2021 |
| Simplified transfer learning for chest radiography models using less data AB Sellergren, C Chen, Z Nabulsi, Y Li, A Maschinot, A Sarna, J Huang, ... Radiology 305 (2), 454-465, 2022 | 37 | 2022 |
| ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders S Xu, L Yang, C Kelly, M Sieniek, T Kohlberger, M Ma, WH Weng, A Kiraly, ... arXiv preprint arXiv:2308.01317, 2023 | 25 | 2023 |
| Deep learning detection of active pulmonary tuberculosis at chest radiography matched the clinical performance of radiologists S Kazemzadeh, J Yu, S Jamshy, R Pilgrim, Z Nabulsi, C Chen, N Beladia, ... Radiology 306 (1), 124-137, 2023 | 24 | 2023 |
| Research priorities for the future health of multiples and their families: The Global Twins and Multiples Priority Setting Partnership JR Lam, B Liu, R Bhate, N Fenwick, K Reed, JMN Duffy, A Khalil, ... Deakin University, 2019 | 22 | 2019 |
| Handwritten word recognition using conditional random fields S Shetty, H Srinivasan, S Srihari Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007 | 22 | 2007 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods, 1-13, 2024 | 21 | 2024 |
| Reply to: Transparency and reproducibility in artificial intelligence SM McKinney, A Karthikesalingam, D Tse, CJ Kelly, Y Liu, GS Corrado, ... Nature 586 (7829), E17-E18, 2020 | 20 | 2020 |
| Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ... Nature Medicine 29 (7), 1814-1820, 2023 | 19 | 2023 |
