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Journal of Medical Imaging (Bellingham, Wash.)
|
July 10, 2015
Texture analysis of images using a two-dimensional fast time-frequency transform
Chun Hing Cheng, Pyari Mohan Pradhan, Joseph Ross Mitchell
JMIR Mhealth and Uhealth
|
May 29, 2015
Selection and pilot implementation of a mobile image viewer: a case study
Christine Marie Zwart, Miao He, Teresa Wu, et al.
Frontiers in Health Services
|
May 1, 2026
Systematic literature review and narrative synthesis of the use of natural language processing to triage outpatient referrals
Angela Lim Fung, Mohamed Abdalla, Yu Blanche Cheng, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 28, 2015
QuantitativeT2: interactive quantitative T2 MRI witnessed in mouse glioblastoma
Tonima Sumya Ali, Thorarin Albert Bjarnason, Donna L Senger, et al.
Journal of Medical Internet Research
|
March 23, 2022
A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study
Joseph Ross Mitchell, Phillip Szepietowski, Rachel Howard, et al.
Frontiers in Neuroimaging
|
August 9, 2023
Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients
Sara Ranjbar, Kyle W Singleton, Lee Curtin, et al.
Journal of Medical Internet Research
|
April 8, 2026
The Alberta Quality Assessment Tool: Risk of Bias (AQAT:RoB) for the Evaluation of Medical Large Language Model Question-Answer Studies: Development and Pilot Validation
Carrie Ye, Joseph Ross Mitchell, Daniel C Baumgart, et al.
Journal of Medical Internet Research
|
February 25, 2026
The Alberta Risk of Bias Assessment Tool (AQAT:RoB) for the Evaluation of Medical Large Language Model Question-Answer Studies: Development and Pilot Validation
Carrie Ye, Joseph Ross Mitchell, Daniel C Baumgart, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
October 26, 2020
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data
Joseph Ross Mitchell, Konstantinos Kamnitsas, Kyle W Singleton, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Journal of Medical Imaging (Bellingham, Wash.)
|
July 10, 2015
Texture analysis of images using a two-dimensional fast time-frequency transform
Chun Hing Cheng, Pyari Mohan Pradhan, Joseph Ross Mitchell
JMIR Mhealth and Uhealth
|
May 29, 2015
Selection and pilot implementation of a mobile image viewer: a case study
Christine Marie Zwart, Miao He, Teresa Wu, et al.
Frontiers in Health Services
|
May 1, 2026
Systematic literature review and narrative synthesis of the use of natural language processing to triage outpatient referrals
Angela Lim Fung, Mohamed Abdalla, Yu Blanche Cheng, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 28, 2015
QuantitativeT2: interactive quantitative T2 MRI witnessed in mouse glioblastoma
Tonima Sumya Ali, Thorarin Albert Bjarnason, Donna L Senger, et al.
Journal of Medical Internet Research
|
March 23, 2022
A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study
Joseph Ross Mitchell, Phillip Szepietowski, Rachel Howard, et al.
Frontiers in Neuroimaging
|
August 9, 2023
Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients
Sara Ranjbar, Kyle W Singleton, Lee Curtin, et al.
Journal of Medical Internet Research
|
April 8, 2026
The Alberta Quality Assessment Tool: Risk of Bias (AQAT:RoB) for the Evaluation of Medical Large Language Model Question-Answer Studies: Development and Pilot Validation
Carrie Ye, Joseph Ross Mitchell, Daniel C Baumgart, et al.
Journal of Medical Internet Research
|
February 25, 2026
The Alberta Risk of Bias Assessment Tool (AQAT:RoB) for the Evaluation of Medical Large Language Model Question-Answer Studies: Development and Pilot Validation
Carrie Ye, Joseph Ross Mitchell, Daniel C Baumgart, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
October 26, 2020
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data
Joseph Ross Mitchell, Konstantinos Kamnitsas, Kyle W Singleton, et al.
Page
of 1