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Neuro-Oncology Advances
|
July 28, 2025
Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study
Juan Carlos Climent Pardo, Anna Zapaishchykova, Aidan Boyd, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
December 26, 2016
PET imaging of zirconium-89 labelled cetuximab: A phase I trial in patients with head and neck and lung cancer
Judith van Loon, Aniek J G Even, Hugo J W L Aerts, et al.
Molecular Psychiatry
|
February 19, 2022
Lifespan extension with preservation of hippocampal function in aged system x<sub>c</sub><sup>-</sup>-deficient male mice
Lise Verbruggen, Gamze Ates, Olaya Lara, et al.
Plos One
|
November 18, 2017
Radiographic prediction of meningioma grade by semantic and radiomic features
Thibaud P Coroller, Wenya Linda Bi, Elizabeth Huynh, et al.
Radiology. Artificial Intelligence
|
March 6, 2024
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning
Divyanshu Tak, Zezhong Ye, Anna Zapaischykova, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
March 31, 2009
Identification of residual metabolic-active areas within individual NSCLC tumours using a pre-radiotherapy (18)Fluorodeoxyglucose-PET-CT scan
Hugo J W L Aerts, Angela A W van Baardwijk, Steven F Petit, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 22, 2023
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline
Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, et al.
JAMA Network Open
|
August 10, 2023
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer
Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology
|
March 22, 2019
Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers
S Trebeschi, S G Drago, N J Birkbak, et al.
Nature Communications
|
January 30, 2021
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Roman Zeleznik, Borek Foldyna, Parastou Eslami, et al.
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of 33
Search research articles
Search
Showing results (281-290 of 321) with videos related to
Sort By:
Page
of 33
Neuro-Oncology Advances
|
July 28, 2025
Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study
Juan Carlos Climent Pardo, Anna Zapaishchykova, Aidan Boyd, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
December 26, 2016
PET imaging of zirconium-89 labelled cetuximab: A phase I trial in patients with head and neck and lung cancer
Judith van Loon, Aniek J G Even, Hugo J W L Aerts, et al.
Molecular Psychiatry
|
February 19, 2022
Lifespan extension with preservation of hippocampal function in aged system x<sub>c</sub><sup>-</sup>-deficient male mice
Lise Verbruggen, Gamze Ates, Olaya Lara, et al.
Plos One
|
November 18, 2017
Radiographic prediction of meningioma grade by semantic and radiomic features
Thibaud P Coroller, Wenya Linda Bi, Elizabeth Huynh, et al.
Radiology. Artificial Intelligence
|
March 6, 2024
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning
Divyanshu Tak, Zezhong Ye, Anna Zapaischykova, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
March 31, 2009
Identification of residual metabolic-active areas within individual NSCLC tumours using a pre-radiotherapy (18)Fluorodeoxyglucose-PET-CT scan
Hugo J W L Aerts, Angela A W van Baardwijk, Steven F Petit, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 22, 2023
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline
Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, et al.
JAMA Network Open
|
August 10, 2023
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer
Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology
|
March 22, 2019
Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers
S Trebeschi, S G Drago, N J Birkbak, et al.
Nature Communications
|
January 30, 2021
Deep convolutional neural networks to predict cardiovascular risk from computed tomography
Roman Zeleznik, Borek Foldyna, Parastou Eslami, et al.
Page
of 33