| Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review QD Buchlak, N Esmaili, JC Leveque, F Farrokhi, C Bennett, M Piccardi, ... Neurosurgical review 43, 1235-1253, 2020 | 206 | 2020 |
| Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study JCY Seah, CHM Tang, QD Buchlak, XG Holt, JB Wardman, A Aimoldin, ... The Lancet Digital Health 3 (8), e496-e506, 2021 | 154 | 2021 |
| Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review QD Buchlak, N Esmaili, JC Leveque, C Bennett, F Farrokhi, M Piccardi Journal of Clinical Neuroscience 89, 177-198, 2021 | 82 | 2021 |
| Investigating risk factors and predicting complications in deep brain stimulation surgery with machine learning algorithms F Farrokhi, QD Buchlak, M Sikora, N Esmaili, M Marsans, P McLeod, ... World Neurosurgery 134, e325-e338, 2020 | 52 | 2020 |
| Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study CM Jones, L Danaher, MR Milne, C Tang, J Seah, L Oakden-Rayner, ... BMJ open 11 (12), e052902, 2021 | 30 | 2021 |
| Charting the potential of brain computed tomography deep learning systems QD Buchlak, MR Milne, J Seah, A Johnson, G Samarasinghe, B Hachey, ... Journal of Clinical Neuroscience 99, 217-223, 2022 | 23 | 2022 |
| Chest radiographs and machine learning–Past, present and future CM Jones, QD Buchlak, L Oakden‐Rayner, M Milne, J Seah, N Esmaili, ... Journal of Medical Imaging and Radiation Oncology 65 (5), 538-544, 2021 | 22 | 2021 |
| Natural language processing applications in the clinical neurosciences: A machine learning augmented systematic review QD Buchlak, N Esmaili, C Bennett, F Farrokhi Machine Learning in Clinical Neuroscience: Foundations and Applications, 277-289, 2022 | 18 | 2022 |
| Ethical thinking machines in surgery and the requirement for clinical leadership QD Buchlak, N Esmaili, JC Leveque, C Bennett, M Piccardi, F Farrokhi The American Journal of Surgery 220 (5), 1372-1374, 2020 | 16 | 2020 |
| Exact analysis of (R, s, S) inventory control systems with lost sales and zero lead time N Esmaili, BA Norman, J Rajgopal Naval Research Logistics (NRL) 66 (2), 123-132, 2019 | 13 | 2019 |
| Shelf-space optimization models in decentralized automated dispensing cabinets N Esmaili, BA Norman, J Rajgopal Operations Research for Health Care 19, 92-106, 2018 | 12 | 2018 |
| Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models N Esmaili, M Piccardi, B Kruger, F Girosi PLoS one 13 (11), e0206274, 2018 | 12 | 2018 |
| Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography J Seah, C Tang, QD Buchlak, MR Milne, X Holt, H Ahmad, J Lambert, ... BMJ open 11 (12), e053024, 2021 | 10 | 2021 |
| Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review HK Ahmad, MR Milne, QD Buchlak, N Ektas, G Sanderson, H Chamtie, ... Diagnostics 13 (4), 743, 2023 | 9 | 2023 |
| ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems I Jauregi Unanue, E Zare Borzeshi, N Esmaili, M Piccardi Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 9* | 2019 |
| Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy QD Buchlak, CHM Tang, JCY Seah, A Johnson, X Holt, GM Bottrell, ... European Radiology, 1-13, 2023 | 7 | 2023 |
| Clinical outcomes associated with robotic and computer-navigated total knee arthroplasty: a machine learning-augmented systematic review QD Buchlak, J Clair, N Esmaili, A Barmare, S Chandrasekaran European Journal of Orthopaedic Surgery & Traumatology 32 (5), 915-931, 2022 | 6 | 2022 |
| Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: an application to psychology and physiotherapy utilization … N Esmaili, QD Buchlak, M Piccardi, B Kruger, F Girosi Artificial intelligence in medicine 111, 101997, 2021 | 5 | 2021 |
| Topic-document inference with the Gumbel-Softmax distribution A Kumar, N Esmaili, M Piccardi IEEE Access 9, 1313-1320, 2020 | 5 | 2020 |
| Leveraging Discourse Rewards for Document-Level Neural Machine Translation IJ Unanue, N Esmaili, G Haffari, M Piccardi arXiv preprint arXiv:2010.03732, 2020 | 5 | 2020 |
