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Cancer Research
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March 2, 2012
Proinflammatory characteristics of SMAC/DIABLO-induced cell death in antitumor therapy
Perpetua U Emeagi, Sandra Van Lint, Cleo Goyvaerts, et al.
Nature Reviews. Clinical Oncology
|
August 27, 2020
Artificial intelligence in radiation oncology
Elizabeth Huynh, Ahmed Hosny, Christian Guthier, et al.
Radiology. Artificial Intelligence
|
April 2, 2025
Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population
Jong Hyuk Lee, Seung Ho Choi, Hugo J W L Aerts, et al.
JAMA Network Open
|
December 28, 2022
Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data
Vineet K Raghu, Anika S Walia, Aniket N Zinzuwadia, et al.
Radiology. Artificial Intelligence
|
July 17, 2024
Open Access Data and Deep Learning for Cardiac Device Identification on Standard DICOM and Smartphone-based Chest Radiographs
Felix Busch, Keno K Bressem, Phillip Suwalski, et al.
Scientific Reports
|
August 8, 2015
Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer
Chintan Parmar, Ralph T H Leijenaar, Patrick Grossmann, et al.
Nature Machine Intelligence
|
March 25, 2024
Foundation model for cancer imaging biomarkers
Suraj Pai, Dennis Bontempi, Ibrahim Hadzic, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
December 3, 2014
Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging
Emmanuel Rios Velazquez, Frank Hoebers, Hugo J W L Aerts, et al.
Clinical Lung Cancer
|
February 22, 2025
Association of Sarcopenia With Toxicity and Survival in Patients With Lung Cancer, a Multi-Institutional Study With External Dataset Validation
Anurag Saraf, John He, Kee-Young Shin, et al.
JCO Clinical Cancer Informatics
|
July 28, 2023
Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy
Shan Chen, Marco Guevara, Nicolas Ramirez, et al.
Page
of 33
Search research articles
Search
Showing results (171-180 of 321) with videos related to
Sort By:
Page
of 33
Cancer Research
|
March 2, 2012
Proinflammatory characteristics of SMAC/DIABLO-induced cell death in antitumor therapy
Perpetua U Emeagi, Sandra Van Lint, Cleo Goyvaerts, et al.
Nature Reviews. Clinical Oncology
|
August 27, 2020
Artificial intelligence in radiation oncology
Elizabeth Huynh, Ahmed Hosny, Christian Guthier, et al.
Radiology. Artificial Intelligence
|
April 2, 2025
Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population
Jong Hyuk Lee, Seung Ho Choi, Hugo J W L Aerts, et al.
JAMA Network Open
|
December 28, 2022
Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data
Vineet K Raghu, Anika S Walia, Aniket N Zinzuwadia, et al.
Radiology. Artificial Intelligence
|
July 17, 2024
Open Access Data and Deep Learning for Cardiac Device Identification on Standard DICOM and Smartphone-based Chest Radiographs
Felix Busch, Keno K Bressem, Phillip Suwalski, et al.
Scientific Reports
|
August 8, 2015
Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer
Chintan Parmar, Ralph T H Leijenaar, Patrick Grossmann, et al.
Nature Machine Intelligence
|
March 25, 2024
Foundation model for cancer imaging biomarkers
Suraj Pai, Dennis Bontempi, Ibrahim Hadzic, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
December 3, 2014
Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging
Emmanuel Rios Velazquez, Frank Hoebers, Hugo J W L Aerts, et al.
Clinical Lung Cancer
|
February 22, 2025
Association of Sarcopenia With Toxicity and Survival in Patients With Lung Cancer, a Multi-Institutional Study With External Dataset Validation
Anurag Saraf, John He, Kee-Young Shin, et al.
JCO Clinical Cancer Informatics
|
July 28, 2023
Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy
Shan Chen, Marco Guevara, Nicolas Ramirez, et al.
Page
of 33