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Digestive Disease Interventions
|
September 2, 2020
Supervised Machine Learning in Oncology: A Clinician's Guide
Nikitha Murali, Ahmet Kucukkaya, Alexandra Petukhova, et al.
Insights Into Imaging
|
March 7, 2022
Changes of radiological examination volumes over the course of the COVID-19 pandemic: a comprehensive analysis of the different waves of infection
Florian Nima Fleckenstein, Tazio Maleitzke, Georg Böning, et al.
Translational Oncology
|
October 19, 2020
Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics
Stefan P Haider, Kariem Sharaf, Tal Zeevi, et al.
Journal of Vascular and Interventional Radiology : JVIR
|
December 19, 2021
Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach
Rohil Malpani, Christopher W Petty, Junlin Yang, et al.
Clinical Imaging
|
February 16, 2021
Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma
Nathan X Chai, Julius Chapiro, Alexandra Petukhova, et al.
European Radiology
|
October 30, 2020
Reliable prediction of survival in advanced-stage hepatocellular carcinoma treated with sorafenib: comparing 1D and 3D quantitative tumor response criteria on MRI
Luzie A Doemel, Julius Chapiro, Fabian Laage Gaupp, et al.
PLOS Digital Health
|
February 22, 2023
Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool
Yapei Zhang, Catherine Mezzacappa, Lin Shen, et al.
Journal of Vascular and Interventional Radiology : JVIR
|
November 24, 2022
MR Imaging-Based In Vivo Macrophage Imaging to Monitor Immune Response after Radiofrequency Ablation of the Liver
Jessica G Santana, Alexandra Petukhova-Greenstein, Moritz Gross, et al.
Scientific Reports
|
May 10, 2023
Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning
Ahmet Said Kucukkaya, Tal Zeevi, Nathan Xianming Chai, et al.
AJR. American Journal of Roentgenology
|
August 17, 2022
Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study
Simon Iseke, Tal Zeevi, Ahmet S Kucukkaya, et al.
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Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Digestive Disease Interventions
|
September 2, 2020
Supervised Machine Learning in Oncology: A Clinician's Guide
Nikitha Murali, Ahmet Kucukkaya, Alexandra Petukhova, et al.
Insights Into Imaging
|
March 7, 2022
Changes of radiological examination volumes over the course of the COVID-19 pandemic: a comprehensive analysis of the different waves of infection
Florian Nima Fleckenstein, Tazio Maleitzke, Georg Böning, et al.
Translational Oncology
|
October 19, 2020
Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics
Stefan P Haider, Kariem Sharaf, Tal Zeevi, et al.
Journal of Vascular and Interventional Radiology : JVIR
|
December 19, 2021
Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach
Rohil Malpani, Christopher W Petty, Junlin Yang, et al.
Clinical Imaging
|
February 16, 2021
Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma
Nathan X Chai, Julius Chapiro, Alexandra Petukhova, et al.
European Radiology
|
October 30, 2020
Reliable prediction of survival in advanced-stage hepatocellular carcinoma treated with sorafenib: comparing 1D and 3D quantitative tumor response criteria on MRI
Luzie A Doemel, Julius Chapiro, Fabian Laage Gaupp, et al.
PLOS Digital Health
|
February 22, 2023
Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool
Yapei Zhang, Catherine Mezzacappa, Lin Shen, et al.
Journal of Vascular and Interventional Radiology : JVIR
|
November 24, 2022
MR Imaging-Based In Vivo Macrophage Imaging to Monitor Immune Response after Radiofrequency Ablation of the Liver
Jessica G Santana, Alexandra Petukhova-Greenstein, Moritz Gross, et al.
Scientific Reports
|
May 10, 2023
Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning
Ahmet Said Kucukkaya, Tal Zeevi, Nathan Xianming Chai, et al.
AJR. American Journal of Roentgenology
|
August 17, 2022
Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study
Simon Iseke, Tal Zeevi, Ahmet S Kucukkaya, et al.
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of 2