Nazanin Esmaili
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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
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
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
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
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
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
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
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
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
Shelf-space optimization models in decentralized automated dispensing cabinets
N Esmaili, BA Norman, J Rajgopal
Operations Research for Health Care 19, 92-106, 2018
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
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
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
Leveraging Discourse Rewards for Document-Level Neural Machine Translation
IJ Unanue, N Esmaili, G Haffari, M Piccardi
arXiv preprint arXiv:2010.03732, 2020
Optimizing multi-item inventory management decisions in healthcare facilities
N Esmaili
University of Pittsburgh, 2017
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
A heuristic for selecting multi-item inventory review policies
N Esmaili, BA Norman, J Rajgopal
IIE Annual Conference. Proceedings, 1050, 2015
A REINFORCEd Variational Autoencoder Topic Model
A Kumar, N Esmaili, M Piccardi
Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021
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
Topic-document inference with the Gumbel-Softmax distribution
A Kumar, N Esmaili, M Piccardi
IEEE Access 9, 1313-1320, 2020
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