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Brandon Konkel

Showing results (1-10 of 10) with videos related to

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Abdominal Radiology (New York)|August 26, 2021
Radiomics: a primer on high-throughput image phenotypingKyle J Lafata, Yuqi Wang, Brandon Konkel, et al.
Disease Models & Mechanisms|June 22, 2018
<i>Pgc-1α</i> repression and high-fat diet induce age-related macular degeneration-like phenotypes in miceMeng Zhang, Yi Chu, Joseph Mowery, et al.
Journal of the American College of Radiology : JACR|February 19, 2021
Missed Incidental Pulmonary Embolism: Harnessing Artificial Intelligence to Assess Prevalence and Improve Quality Improvement OpportunitiesBenjamin Wildman-Tobriner, Lawrence Ngo, Joseph G Mammarappallil, et al.
Radiology. Artificial Intelligence|October 5, 2023
Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series LabelsJacob A Macdonald, Zhe Zhu, Brandon Konkel, et al.
Medical Physics|December 22, 2022
Towards optimal deep fusion of imaging and clinical data via a model-based description of fusion qualityYuqi Wang, Xiang Li, Meghana Konanur, et al.
Radiology. Artificial Intelligence|June 9, 2023
Systematic Analysis of Common Factors Impacting Deep Learning Model Generalizability in Liver SegmentationBrandon Konkel, Jacob Macdonald, Kyle Lafata, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 24, 2023
Phase II Investigation of TVB-2640 (Denifanstat) with Bevacizumab in Patients with First Relapse High-Grade AstrocytomaWilliam Kelly, Adolfo Enrique Diaz Duque, Joel Michalek, et al.
Journal of Imaging Informatics in Medicine|April 8, 2024
A Method for Efficient De-identification of DICOM Metadata and Burned-in Pixel TextJacob A Macdonald, Katelyn R Morgan, Brandon Konkel, et al.
Abdominal Radiology (New York)|October 9, 2022
CT-derived body composition measurements as predictors for neoadjuvant treatment tolerance and survival in gastroesophageal adenocarcinomaMariana R DeFreitas, Amadu Toronka, Marybeth A Nedrud, et al.
Biomedical Optics Express|May 16, 2019
Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant functionBrandon Konkel, Christopher Lavin, Tong Tong Wu, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Abdominal Radiology (New York)|August 26, 2021
Radiomics: a primer on high-throughput image phenotypingKyle J Lafata, Yuqi Wang, Brandon Konkel, et al.
Disease Models & Mechanisms|June 22, 2018
<i>Pgc-1α</i> repression and high-fat diet induce age-related macular degeneration-like phenotypes in miceMeng Zhang, Yi Chu, Joseph Mowery, et al.
Journal of the American College of Radiology : JACR|February 19, 2021
Missed Incidental Pulmonary Embolism: Harnessing Artificial Intelligence to Assess Prevalence and Improve Quality Improvement OpportunitiesBenjamin Wildman-Tobriner, Lawrence Ngo, Joseph G Mammarappallil, et al.
Radiology. Artificial Intelligence|October 5, 2023
Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series LabelsJacob A Macdonald, Zhe Zhu, Brandon Konkel, et al.
Medical Physics|December 22, 2022
Towards optimal deep fusion of imaging and clinical data via a model-based description of fusion qualityYuqi Wang, Xiang Li, Meghana Konanur, et al.
Radiology. Artificial Intelligence|June 9, 2023
Systematic Analysis of Common Factors Impacting Deep Learning Model Generalizability in Liver SegmentationBrandon Konkel, Jacob Macdonald, Kyle Lafata, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 24, 2023
Phase II Investigation of TVB-2640 (Denifanstat) with Bevacizumab in Patients with First Relapse High-Grade AstrocytomaWilliam Kelly, Adolfo Enrique Diaz Duque, Joel Michalek, et al.
Journal of Imaging Informatics in Medicine|April 8, 2024
A Method for Efficient De-identification of DICOM Metadata and Burned-in Pixel TextJacob A Macdonald, Katelyn R Morgan, Brandon Konkel, et al.
Abdominal Radiology (New York)|October 9, 2022
CT-derived body composition measurements as predictors for neoadjuvant treatment tolerance and survival in gastroesophageal adenocarcinomaMariana R DeFreitas, Amadu Toronka, Marybeth A Nedrud, et al.
Biomedical Optics Express|May 16, 2019
Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant functionBrandon Konkel, Christopher Lavin, Tong Tong Wu, et al.
Pageof 1