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Browsing byAuthorEsmaili, N
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Showing results 1 to 20 of 26
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Issue Date
Title
Author(s)
2017
A Greedy Primal-Dual Type Heuristic to Select an Inventory Control Policy
Esmaili, N
;
Norman, B
;
Rajgopal, J
2021-12-02
A REINFORCEd Variational Autoencoder Topic Model
Kumar, A
;
Esmaili, N
;
Piccardi, M
2022-01-01
A Temperature-Modified Dynamic Embedded Topic Model
Kumar, A
;
Esmaili, N
;
Piccardi, M
2018-11-01
Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models
Esmaili, N
;
Piccardi, M
;
Kruger, B
;
Girosi, F
2023-07-09
Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification.
Tang, CHM
;
Seah, JCY
;
Ahmad, HK
;
Milne, MR
;
Wardman, JB
;
Buchlak, QD
;
Esmaili, N
;
Lambert, JF
;
Jones, CM
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
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
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
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
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
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
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
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
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
2020-12-08
Leveraging Discourse Rewards for Document-Level Neural Machine Translation
Jauregi Unanue, I
;
Esmaili, N
;
Haffari, G
;
Piccardi, M
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
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
2023-02-15
Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review.
Ahmad, HK
;
Milne, MR
;
Buchlak, QD
;
Ektas, N
;
Sanderson, G
;
Chamtie, H
;
Karunasena, S
;
Chiang, J
;
Holt, X
;
Tang, CHM
;
Seah, JCY
;
Bottrell, G
;
Esmaili, N
;
Brotchie, P
;
Jones, C
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
2022
Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review.
Buchlak, QD
;
Esmaili, N
;
Bennett, C
;
Farrokhi, F