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Academic Radiology|November 11, 2023
Not without Context-A Multiple Methods Study on Evaluation and Correction of Automated Brain Tumor Segmentations by ExpertsKatharina V Hoebel, Christopher P Bridge, Albert Kim, et al.
Journal of the National Comprehensive Cancer Network : JNCCN|January 29, 2021
Associations of Skeletal Muscle With Symptom Burden and Clinical Outcomes in Hospitalized Patients With Advanced CancerEmily van Seventer, J Peter Marquardt, Amelie S Troschel, et al.
Radiology. Artificial Intelligence|January 10, 2024
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor SegmentationKatharina V Hoebel, Christopher P Bridge, Sara Ahmed, et al.
Scientific Reports|February 10, 2022
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imagingChristopher P Bridge, Bernardo C Bizzo, James M Hillis, et al.
Scientific Reports|January 5, 2023
Head CT deep learning model is highly accurate for early infarct estimationRomane Gauriau, Bernardo C Bizzo, Donnella S Comeau, et al.
Biorxiv : the Preprint Server for Biology|May 18, 2026
Weak supervision of H&E slides reveals systems-level biology and functional states that govern therapeutic resistanceTiago Goncalves, Dagoberto Pulido, Carmen M Perrino, et al.
Biorxiv : the Preprint Server for Biology|September 11, 2023
Structural and functional vascular dysfunction within brain metastases is linked to pembrolizumab inefficacyAlbert E Kim, Kevin W Lou, Anita Giobbie-Hurder, et al.
Neuro-Oncology|December 9, 2023
Abnormal vascular structure and function within brain metastases is linked to pembrolizumab resistanceAlbert E Kim, Kevin W Lou, Anita Giobbie-Hurder, et al.
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