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Joseph Y Lo

Showing results (91-100 of 106) with videos related to

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Breast Cancer Research : BCR|March 22, 2025
Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancerAngelo Fortunato, Diego Mallo, Luis Cisneros, et al.
Medical Physics|November 4, 2025
Evaluation of unified harmonization of CT images across multiple tasks: A step towards AI generalizabilityShao-Jun Xia, Liesbeth Vancoillie, Saman Sotoudeh-Paima, et al.
Medrxiv : the Preprint Server for Health Sciences|August 26, 2024
Evolutionary Measures Show that Recurrence of DCIS is Distinct from Progression to Breast CancerAngelo Fortunato, Diego Mallo, Luis Cisneros, et al.
Medical Image Analysis|May 10, 2025
XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scansLavsen Dahal, Mobina Ghojoghnejad, Liesbeth Vancoillie, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 4, 2024
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trialsSena Alaeikhanehshir, Madelon M Voets, Frederieke H van Duijnhoven, et al.
Physics in Medicine and Biology|April 19, 2008
Neutron-stimulated emission computed tomography of a multi-element phantomCarey E Floyd, Anuj J Kapadia, Janelle E Bender, et al.
Medical Physics|December 17, 2024
Virtual imaging trials in medicine: A brief takeaway of the lessons from the first international summitEhsan Samei, Ehsan Abadi, Predrag Bakic, et al.
Academic Radiology|February 1, 2020
Predicting Upstaging of DCIS to Invasive Disease: Radiologists's Predictive PerformanceVignesh Selvakumaran, Rui Hou, Jay A Baker, et al.
Radiology|January 4, 2022
Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic FeaturesRui Hou, Lars J Grimm, Maciej A Mazurowski, et al.
AJR. American Journal of Roentgenology|August 14, 2020
Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on MammographyLars J Grimm, Benjamin Neely, Rui Hou, et al.
Pageof 11

Showing results (91-100 of 106) with videos related to

Sort By:
Pageof 11
Breast Cancer Research : BCR|March 22, 2025
Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancerAngelo Fortunato, Diego Mallo, Luis Cisneros, et al.
Medical Physics|November 4, 2025
Evaluation of unified harmonization of CT images across multiple tasks: A step towards AI generalizabilityShao-Jun Xia, Liesbeth Vancoillie, Saman Sotoudeh-Paima, et al.
Medrxiv : the Preprint Server for Health Sciences|August 26, 2024
Evolutionary Measures Show that Recurrence of DCIS is Distinct from Progression to Breast CancerAngelo Fortunato, Diego Mallo, Luis Cisneros, et al.
Medical Image Analysis|May 10, 2025
XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scansLavsen Dahal, Mobina Ghojoghnejad, Liesbeth Vancoillie, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|April 4, 2024
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trialsSena Alaeikhanehshir, Madelon M Voets, Frederieke H van Duijnhoven, et al.
Physics in Medicine and Biology|April 19, 2008
Neutron-stimulated emission computed tomography of a multi-element phantomCarey E Floyd, Anuj J Kapadia, Janelle E Bender, et al.
Medical Physics|December 17, 2024
Virtual imaging trials in medicine: A brief takeaway of the lessons from the first international summitEhsan Samei, Ehsan Abadi, Predrag Bakic, et al.
Academic Radiology|February 1, 2020
Predicting Upstaging of DCIS to Invasive Disease: Radiologists's Predictive PerformanceVignesh Selvakumaran, Rui Hou, Jay A Baker, et al.
Radiology|January 4, 2022
Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic FeaturesRui Hou, Lars J Grimm, Maciej A Mazurowski, et al.
AJR. American Journal of Roentgenology|August 14, 2020
Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on MammographyLars J Grimm, Benjamin Neely, Rui Hou, et al.
Pageof 11