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Showing results (221-230 of 321) with videos related to

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Scientific Reports|February 4, 2018
Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MRStefano Trebeschi, Joost J M van Griethuysen, Doenja M J Lambregts, et al.
Journal of the National Cancer Institute|November 19, 2025
FaceAge as a biomarker for prognosis and treatment stratification in large-scale oncology cohortGrace Lee, Fridolin Haugg, Dennis Bontempi, et al.
Abdominal Radiology (New York)|November 18, 2019
Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancerJoost J M van Griethuysen, Doenja M J Lambregts, Stefano Trebeschi, et al.
Acta Oncologica (Stockholm, Sweden)|September 20, 2013
Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancerSara Carvalho, Ralph T H Leijenaar, Emmanuel Rios Velazquez, et al.
Practical Radiation Oncology|January 21, 2021
Statin Use, Heart Radiation Dose, and Survival in Locally Advanced Lung CancerKatelyn M Atkins, Danielle S Bitterman, Tafadzwa L Chaunzwa, et al.
F1000Research|September 23, 2017
Revisiting inconsistency in large pharmacogenomic studiesZhaleh Safikhani, Petr Smirnov, Mark Freeman, et al.
Scientific Reports|July 15, 2017
Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MRStefano Trebeschi, Joost J M van Griethuysen, Doenja M J Lambregts, et al.
Plos One|April 21, 2017
Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLCVishesh Agrawal, Thibaud P Coroller, Ying Hou, et al.
Plos One|March 8, 2021
Correction: Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung AdenocarcinomaOlya Grove, Anders E Berglund, Matthew B Schabath, et al.
Plos One|March 5, 2015
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinomaOlya Grove, Anders E Berglund, Matthew B Schabath, et al.
Pageof 33

Showing results (221-230 of 321) with videos related to

Sort By:
Pageof 33
Scientific Reports|February 4, 2018
Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MRStefano Trebeschi, Joost J M van Griethuysen, Doenja M J Lambregts, et al.
Journal of the National Cancer Institute|November 19, 2025
FaceAge as a biomarker for prognosis and treatment stratification in large-scale oncology cohortGrace Lee, Fridolin Haugg, Dennis Bontempi, et al.
Abdominal Radiology (New York)|November 18, 2019
Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancerJoost J M van Griethuysen, Doenja M J Lambregts, Stefano Trebeschi, et al.
Acta Oncologica (Stockholm, Sweden)|September 20, 2013
Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancerSara Carvalho, Ralph T H Leijenaar, Emmanuel Rios Velazquez, et al.
Practical Radiation Oncology|January 21, 2021
Statin Use, Heart Radiation Dose, and Survival in Locally Advanced Lung CancerKatelyn M Atkins, Danielle S Bitterman, Tafadzwa L Chaunzwa, et al.
F1000Research|September 23, 2017
Revisiting inconsistency in large pharmacogenomic studiesZhaleh Safikhani, Petr Smirnov, Mark Freeman, et al.
Scientific Reports|July 15, 2017
Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MRStefano Trebeschi, Joost J M van Griethuysen, Doenja M J Lambregts, et al.
Plos One|April 21, 2017
Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLCVishesh Agrawal, Thibaud P Coroller, Ying Hou, et al.
Plos One|March 8, 2021
Correction: Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung AdenocarcinomaOlya Grove, Anders E Berglund, Matthew B Schabath, et al.
Plos One|March 5, 2015
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinomaOlya Grove, Anders E Berglund, Matthew B Schabath, et al.
Pageof 33