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BMC Medical Imaging
|
July 2, 2025
Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy
Masha Bondarenko, Jianxiang Zhang, Ulysis Hugo Baal, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association
|
November 17, 2016
Validation of the Hong Kong Liver Cancer Staging System in Determining Prognosis of the North American Patients Following Intra-arterial Therapy
Jae Ho Sohn, Rafael Duran, Yan Zhao, et al.
Cardiovascular and Interventional Radiology
|
November 2, 2017
Characteristics of a New X-Ray Imaging System for Interventional Procedures: Improved Image Quality and Reduced Radiation Dose
Ruediger E Schernthaner, Reham R Haroun, Sonny Nguyen, et al.
Cardiovascular and Interventional Radiology
|
July 7, 2016
Improved Visibility of Metastatic Disease in the Liver During Intra-Arterial Therapy Using Delayed Arterial Phase Cone-Beam CT
Ruediger E Schernthaner, Reham R Haroun, Rafael Duran, et al.
Radiology. Artificial Intelligence
|
May 3, 2021
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning
Justin D Krogue, Kaiyang V Cheng, Kevin M Hwang, et al.
Radiology
|
December 19, 2015
Multimodality Imaging of Ethiodized Oil-loaded Radiopaque Microspheres during Transarterial Embolization of Rabbits with VX2 Liver Tumors
Vania Tacher, Rafael Duran, MingDe Lin, et al.
Radiology
|
November 7, 2018
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using <sup>18</sup>F-FDG PET of the Brain
Yiming Ding, Jae Ho Sohn, Michael G Kawczynski, et al.
JAMA Network Open
|
March 3, 2020
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter, Diana S M Buist, Christoph I Lee, et al.
Research Square
|
January 14, 2021
Federated Learning used for predicting outcomes in SARS-COV-2 patients
Mona Flores, Ittai Dayan, Holger Roth, et al.
Nature Medicine
|
September 16, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R Roth, Aoxiao Zhong, et al.
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Search research articles
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Showing results (41-50 of 50) with videos related to
Sort By:
Page
of 5
You have reached the last page of results.
This site can display upto 50 results.
BMC Medical Imaging
|
July 2, 2025
Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy
Masha Bondarenko, Jianxiang Zhang, Ulysis Hugo Baal, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association
|
November 17, 2016
Validation of the Hong Kong Liver Cancer Staging System in Determining Prognosis of the North American Patients Following Intra-arterial Therapy
Jae Ho Sohn, Rafael Duran, Yan Zhao, et al.
Cardiovascular and Interventional Radiology
|
November 2, 2017
Characteristics of a New X-Ray Imaging System for Interventional Procedures: Improved Image Quality and Reduced Radiation Dose
Ruediger E Schernthaner, Reham R Haroun, Sonny Nguyen, et al.
Cardiovascular and Interventional Radiology
|
July 7, 2016
Improved Visibility of Metastatic Disease in the Liver During Intra-Arterial Therapy Using Delayed Arterial Phase Cone-Beam CT
Ruediger E Schernthaner, Reham R Haroun, Rafael Duran, et al.
Radiology. Artificial Intelligence
|
May 3, 2021
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning
Justin D Krogue, Kaiyang V Cheng, Kevin M Hwang, et al.
Radiology
|
December 19, 2015
Multimodality Imaging of Ethiodized Oil-loaded Radiopaque Microspheres during Transarterial Embolization of Rabbits with VX2 Liver Tumors
Vania Tacher, Rafael Duran, MingDe Lin, et al.
Radiology
|
November 7, 2018
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using <sup>18</sup>F-FDG PET of the Brain
Yiming Ding, Jae Ho Sohn, Michael G Kawczynski, et al.
JAMA Network Open
|
March 3, 2020
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Thomas Schaffter, Diana S M Buist, Christoph I Lee, et al.
Research Square
|
January 14, 2021
Federated Learning used for predicting outcomes in SARS-COV-2 patients
Mona Flores, Ittai Dayan, Holger Roth, et al.
Nature Medicine
|
September 16, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R Roth, Aoxiao Zhong, et al.
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of 5