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The Oncologist
|
August 12, 2018
Wide Range of Clinical Outcomes in Patients with Gliomatosis Cerebri Growth Pattern: A Clinical, Radiographic, and Histopathologic Study
K Ina Ly, Derek H Oakley, Alexander B Pine, et al.
Nature Biomedical Engineering
|
April 6, 2019
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
Hyunkwang Lee, Sehyo Yune, Mohammad Mansouri, et al.
Journal of Neurointerventional Surgery
|
March 16, 2013
The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach
Ramon Gilberto González, William A Copen, Pamela W Schaefer, et al.
Academic Radiology
|
November 11, 2023
Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts
Katharina V Hoebel, Christopher P Bridge, Albert Kim, et al.
Scientific Reports
|
February 10, 2022
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging
Christopher P Bridge, Bernardo C Bizzo, James M Hillis, et al.
Stroke
|
August 6, 2015
Rate of Contrast Extravasation on Computed Tomographic Angiography Predicts Hematoma Expansion and Mortality in Primary Intracerebral Hemorrhage
H Bart Brouwers, Thomas W K Battey, Hayley H Musial, et al.
Plos One
|
October 25, 2014
Optimal brain MRI protocol for new neurological complaint
William A Mehan, R Gilberto González, Bradley R Buchbinder, et al.
Plos One
|
March 13, 2023
Incorporating algorithmic uncertainty into a clinical machine deep learning algorithm for urgent head CTs
Byung C Yoon, Stuart R Pomerantz, Nathaniel D Mercaldo, et al.
Scientific Reports
|
January 5, 2023
Head CT deep learning model is highly accurate for early infarct estimation
Romane Gauriau, Bernardo C Bizzo, Donnella S Comeau, et al.
Page
of 4
Search research articles
Search
Showing results (31-40 of 39) with videos related to
Sort By:
Page
of 4
You have reached the last page of results.
This site can display upto 39 results.
The Oncologist
|
August 12, 2018
Wide Range of Clinical Outcomes in Patients with Gliomatosis Cerebri Growth Pattern: A Clinical, Radiographic, and Histopathologic Study
K Ina Ly, Derek H Oakley, Alexander B Pine, et al.
Nature Biomedical Engineering
|
April 6, 2019
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
Hyunkwang Lee, Sehyo Yune, Mohammad Mansouri, et al.
Journal of Neurointerventional Surgery
|
March 16, 2013
The Massachusetts General Hospital acute stroke imaging algorithm: an experience and evidence based approach
Ramon Gilberto González, William A Copen, Pamela W Schaefer, et al.
Academic Radiology
|
November 11, 2023
Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by Experts
Katharina V Hoebel, Christopher P Bridge, Albert Kim, et al.
Scientific Reports
|
February 10, 2022
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging
Christopher P Bridge, Bernardo C Bizzo, James M Hillis, et al.
Stroke
|
August 6, 2015
Rate of Contrast Extravasation on Computed Tomographic Angiography Predicts Hematoma Expansion and Mortality in Primary Intracerebral Hemorrhage
H Bart Brouwers, Thomas W K Battey, Hayley H Musial, et al.
Plos One
|
October 25, 2014
Optimal brain MRI protocol for new neurological complaint
William A Mehan, R Gilberto González, Bradley R Buchbinder, et al.
Plos One
|
March 13, 2023
Incorporating algorithmic uncertainty into a clinical machine deep learning algorithm for urgent head CTs
Byung C Yoon, Stuart R Pomerantz, Nathaniel D Mercaldo, et al.
Scientific Reports
|
January 5, 2023
Head CT deep learning model is highly accurate for early infarct estimation
Romane Gauriau, Bernardo C Bizzo, Donnella S Comeau, et al.
Page
of 4