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Quinlan D Buchlak

Showing results (11-20 of 27) with videos related to

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Plos One|July 27, 2022
Predictors of improvement in quality of life at 12-month follow-up in patients undergoing anterior endoscopic skull base surgeryQuinlan D Buchlak, Nazanin Esmaili, Christine Bennett, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|June 13, 2021
Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic reviewQuinlan D Buchlak, Nazanin Esmaili, Jean-Christophe Leveque, et al.
Neurosurgical Review|August 19, 2019
Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic reviewQuinlan D Buchlak, Nazanin Esmaili, Jean-Christophe Leveque, et al.
Journal of Medical Imaging and Radiation Oncology|June 25, 2021
Chest radiographs and machine learning - Past, present and futureCatherine M Jones, Quinlan D Buchlak, Luke Oakden-Rayner, et al.
World Neurosurgery|October 22, 2019
Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning AlgorithmsFarrokh Farrokhi, Quinlan D Buchlak, Matt Sikora, et al.
BMJ Open|December 21, 2021
Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational studyCatherine M Jones, Luke Danaher, Michael R Milne, et al.
Minerva Cardiology and Angiology|November 13, 2024
Applications and potential of machine, learning augmented chest X-ray interpretation in cardiologyMichael R Milne, Hassan K Ahmad, Quinlan D Buchlak, et al.
Spine|January 10, 2017
Multidisciplinary Evaluation Leads to the Decreased Utilization of Lumbar Spine Fusion: An Observational Cohort Pilot StudyVijay Yanamadala, Yourie Kim, Quinlan D Buchlak, et al.
BMJ Open|December 8, 2021
Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiographyJarrel Seah, Cyril Tang, Quinlan D Buchlak, et al.
Diagnostics (Basel, Switzerland)|July 29, 2023
Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden StratificationCyril H M Tang, Jarrel C Y Seah, Hassan K Ahmad, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Plos One|July 27, 2022
Predictors of improvement in quality of life at 12-month follow-up in patients undergoing anterior endoscopic skull base surgeryQuinlan D Buchlak, Nazanin Esmaili, Christine Bennett, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia|June 13, 2021
Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic reviewQuinlan D Buchlak, Nazanin Esmaili, Jean-Christophe Leveque, et al.
Neurosurgical Review|August 19, 2019
Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic reviewQuinlan D Buchlak, Nazanin Esmaili, Jean-Christophe Leveque, et al.
Journal of Medical Imaging and Radiation Oncology|June 25, 2021
Chest radiographs and machine learning - Past, present and futureCatherine M Jones, Quinlan D Buchlak, Luke Oakden-Rayner, et al.
World Neurosurgery|October 22, 2019
Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning AlgorithmsFarrokh Farrokhi, Quinlan D Buchlak, Matt Sikora, et al.
BMJ Open|December 21, 2021
Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational studyCatherine M Jones, Luke Danaher, Michael R Milne, et al.
Minerva Cardiology and Angiology|November 13, 2024
Applications and potential of machine, learning augmented chest X-ray interpretation in cardiologyMichael R Milne, Hassan K Ahmad, Quinlan D Buchlak, et al.
Spine|January 10, 2017
Multidisciplinary Evaluation Leads to the Decreased Utilization of Lumbar Spine Fusion: An Observational Cohort Pilot StudyVijay Yanamadala, Yourie Kim, Quinlan D Buchlak, et al.
BMJ Open|December 8, 2021
Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiographyJarrel Seah, Cyril Tang, Quinlan D Buchlak, et al.
Diagnostics (Basel, Switzerland)|July 29, 2023
Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden StratificationCyril H M Tang, Jarrel C Y Seah, Hassan K Ahmad, et al.
Pageof 3