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| Issue Date | Title | Author(s) |
| 2022-11-15 | Neural Topic Model Training with the REBAR Gradient Estimator | Kumar, A; Esmaili, N; Piccardi, M |
| 2022-06-25 | Clinical outcomes associated with robotic and computer-navigated total knee arthroplasty: a machine learning-augmented systematic review. | Buchlak, QD; Clair, J; Esmaili, N; Barmare, A; Chandrasekaran, S |
| 2022-05 | Charting the potential of brain computed tomography deep learning systems. | Buchlak, QD; Milne, MR; Seah, J; Johnson, A; Samarasinghe, G; Hachey, B; Esmaili, N; Tran, A; Leveque, J-C; Farrokhi, F; Goldschlager, T; Edelstein, S; Brotchie, P |
| 2022-01-01 | A Temperature-Modified Dynamic Embedded Topic Model | Kumar, A; Esmaili, N; Piccardi, M |
| 2022 | Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review. | Buchlak, QD; Esmaili, N; Bennett, C; Farrokhi, F |
| 2021-12-20 | Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study. | Jones, CM; Danaher, L; Milne, MR; Tang, C; Seah, J; Oakden-Rayner, L; Johnson, A; Buchlak, QD; Esmaili, N |
| 2021-12-07 | Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography | Seah, J; Tang, C; Buchlak, QD; Milne, MR; Holt, X; Ahmad, H; Lambert, J; Esmaili, N; Oakden-Rayner, L; Brotchie, P; Jones, CM |
| 2021-12-02 | A REINFORCEd Variational Autoencoder Topic Model | Kumar, A; Esmaili, N; Piccardi, M |
| 2021-08 | Chest radiographs and machine learning - Past, present and future. | Jones, CM; Buchlak, QD; Oakden-Rayner, L; Milne, M; Seah, J; Esmaili, N; Hachey, B |
| 2021-07 | Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review. | Buchlak, QD; Esmaili, N; Leveque, J-C; Bennett, C; Farrokhi, F; Piccardi, M |
| 2021-01-01 | Topic-Document Inference with the Gumbel-Softmax Distribution | Kumar, A; Esmaili, N; Piccardi, M |
| 2021-01 | Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents. | Esmaili, N; Buchlak, QD; Piccardi, M; Kruger, B; Girosi, F |
| 2020-12-08 | Leveraging Discourse Rewards for Document-Level Neural Machine Translation | Jauregi Unanue, I; Esmaili, N; Haffari, G; Piccardi, M |
| 2020-11 | Ethical thinking machines in surgery and the requirement for clinical leadership. | Buchlak, QD; Esmaili, N; Leveque, J-C; Bennett, C; Piccardi, M; Farrokhi, F |
| 2020-02-01 | Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning Algorithms | Farrokhi, F; Buchlak, QD; Sikora, M; Esmaili, N; Marsans, M; McLeod, P; Mark, J; Cox, E; Bennett, C; Carlson, J |
| 2020 | Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review | Buchlak, QD; Esmaili, N; Leveque, JC; Farrokhi, F; Bennett, C; Piccardi, M; Sethi, RK |
| 2019-06 | ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems | Jauregi Unanue, I; Zare Borzeshi, E; Esmaili, N; Piccardi, M |
| 2019-06 | ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems | Jauregi Unanue, I; Zare Borzeshi, E; Esmaili, N; Piccardi, M |
| 2019-04-01 | Correction: Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models (PLoS ONE (2018) 13: 11 (e0206274) DOI: 10.1371/journal.pone.0206274) | Esmaili, N; Piccardi, M; Kruger, B; Girosi, F |
| 2019-03-01 | Exact analysis of (R, s, S) inventory control systems with lost sales and zero lead time | Esmaili, N; Norman, BA; Rajgopal, J |
