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Hricak

Showing results (541-550 of 565) with videos related to

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Insights Into Imaging|April 2, 2020
Women in focus: advice from the front lines on how to enable well-being and build resilienceElizabeth Morris, Rahel A Kubik-Huch, May Abdel-Wahab, et al.
European Radiology|March 15, 2017
A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcomeHebert Alberto Vargas, Harini Veeraraghavan, Maura Micco, et al.
European Journal of Radiology|April 10, 2025
Preoperative unveiling of mucinous ovarian cancer subtypes: Clinical and CT featuresPamela Causa Andrieu, Dina Hamdan, Sara Hassanzadeh, et al.
The Journal of Urology|November 18, 2020
Oncologic Outcomes after Localized Prostate Cancer Treatment: Associations with Pretreatment Prostate Magnetic Resonance Imaging FindingsAndreas G Wibmer, Joshua Chaim, Yulia Lakhman, et al.
Radiology|September 7, 2012
Performance characteristics of MR imaging in the evaluation of clinically low-risk prostate cancer: a prospective studyHebert Alberto Vargas, Oguz Akin, Amita Shukla-Dave, et al.
The Journal of Urology|October 16, 2007
Focal therapy for localized prostate cancer: a critical appraisal of rationale and modalitiesScott E Eggener, Peter T Scardino, Peter R Carroll, et al.
Radiology|December 18, 2010
Managing radiation use in medical imaging: a multifaceted challengeHedvig Hricak, David J Brenner, S James Adelstein, et al.
BJU International|November 15, 2011
Transatlantic Consensus Group on active surveillance and focal therapy for prostate cancerHashim U Ahmed, Oguz Akin, Jonathan A Coleman, et al.
The Lancet. Oncology|May 31, 2025
National cancer control plans in Latin America and the Caribbean: challenges and future directionsCynthia Villarreal-Garza, Alejandro Aranda-Gutierrez, David G Gonzalez-Sanchez, et al.
The Lancet. Digital Health|December 22, 2023
Deep learning for [<sup>18</sup>F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysisIda Häggström, Doris Leithner, Jennifer Alvén, et al.
Pageof 57

Showing results (541-550 of 565) with videos related to

Sort By:
Pageof 57
Insights Into Imaging|April 2, 2020
Women in focus: advice from the front lines on how to enable well-being and build resilienceElizabeth Morris, Rahel A Kubik-Huch, May Abdel-Wahab, et al.
European Radiology|March 15, 2017
A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcomeHebert Alberto Vargas, Harini Veeraraghavan, Maura Micco, et al.
European Journal of Radiology|April 10, 2025
Preoperative unveiling of mucinous ovarian cancer subtypes: Clinical and CT featuresPamela Causa Andrieu, Dina Hamdan, Sara Hassanzadeh, et al.
The Journal of Urology|November 18, 2020
Oncologic Outcomes after Localized Prostate Cancer Treatment: Associations with Pretreatment Prostate Magnetic Resonance Imaging FindingsAndreas G Wibmer, Joshua Chaim, Yulia Lakhman, et al.
Radiology|September 7, 2012
Performance characteristics of MR imaging in the evaluation of clinically low-risk prostate cancer: a prospective studyHebert Alberto Vargas, Oguz Akin, Amita Shukla-Dave, et al.
The Journal of Urology|October 16, 2007
Focal therapy for localized prostate cancer: a critical appraisal of rationale and modalitiesScott E Eggener, Peter T Scardino, Peter R Carroll, et al.
Radiology|December 18, 2010
Managing radiation use in medical imaging: a multifaceted challengeHedvig Hricak, David J Brenner, S James Adelstein, et al.
BJU International|November 15, 2011
Transatlantic Consensus Group on active surveillance and focal therapy for prostate cancerHashim U Ahmed, Oguz Akin, Jonathan A Coleman, et al.
The Lancet. Oncology|May 31, 2025
National cancer control plans in Latin America and the Caribbean: challenges and future directionsCynthia Villarreal-Garza, Alejandro Aranda-Gutierrez, David G Gonzalez-Sanchez, et al.
The Lancet. Digital Health|December 22, 2023
Deep learning for [<sup>18</sup>F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysisIda Häggström, Doris Leithner, Jennifer Alvén, et al.
Pageof 57