Showing results (261-270 of 412) with videos related to
Sort By:
Pageof 42
Scientific Reports|July 3, 2019
Repeatability of Multiparametric Prostate MRI Radiomics FeaturesMichael Schwier, Joost van Griethuysen, Mark G Vangel, et al.Cancer Research|March 2, 2012
Proinflammatory characteristics of SMAC/DIABLO-induced cell death in antitumor therapyPerpetua U Emeagi, Sandra Van Lint, Cleo Goyvaerts, et al.Nature Reviews. Clinical Oncology|August 27, 2020
Artificial intelligence in radiation oncologyElizabeth 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 PopulationJong 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 DataVineet 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 RadiographsFelix 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 cancerChintan Parmar, Ralph T H Leijenaar, Patrick Grossmann, et al.Nature Machine Intelligence|March 25, 2024
Foundation model for cancer imaging biomarkersSuraj 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 stagingEmmanuel 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 ValidationAnurag Saraf, John He, Kee-Young Shin, et al.Pageof 42