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Ritse Mann

Showing results (41-50 of 49) with videos related to

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Medical Image Analysis|February 26, 2026
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammogramsXin Wang, Tao Tan, Yuan Gao, et al.
Journal of Neuromuscular Diseases|January 22, 2024
IL-6 and TNF are Potential Inflammatory Biomarkers in Facioscapulohumeral Muscular DystrophyAnna Greco, Karlien Mul, Martin H Jaeger, et al.
Pharmacoeconomics - Open|January 17, 2024
Cost-Effectiveness Analysis of Digital Breast Tomosynthesis Added to Synthetic Mammography in Breast Cancer Screening in BrazilHenrique Lima Couto, Ludmila Peres Gargano, Vilmar Marques de Oliveira, et al.
Radiology|April 18, 2014
The role of imaging specialists as authors of systematic reviews on diagnostic and interventional imaging and its impact on scientific quality: report from the EuroAIM Evidence-based Radiology Working GroupFrancesco Sardanelli, Humayun Bashir, Dominik Berzaczy, et al.
Nature Communications|November 7, 2024
An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancerYuan Gao, Sofia Ventura-Diaz, Xin Wang, et al.
Frontiers in Oncology|May 29, 2024
Vacuum-assisted excision: a safe minimally invasive option for benign phyllodes tumor diagnosis and treatment-a systematic review and meta-analysisMaria Luísa Braga Vieira Gil, Bertha Andrade Coelho, Henrique Lima Couto, et al.
Communications Medicine|February 6, 2025
Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imagingOliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, et al.
Scientific Data|March 20, 2025
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentationsLidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel, et al.
The Lancet. Oncology|November 27, 2025
The Lucerne Toolbox 3: digital health and artificial intelligence to optimise the patient journey in early breast cancer-a multidisciplinary consensusAndré Pfob, Katja Pinker, Ines Vaz-Luis, et al.
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Showing results (41-50 of 49) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 49 results.
Medical Image Analysis|February 26, 2026
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammogramsXin Wang, Tao Tan, Yuan Gao, et al.
Journal of Neuromuscular Diseases|January 22, 2024
IL-6 and TNF are Potential Inflammatory Biomarkers in Facioscapulohumeral Muscular DystrophyAnna Greco, Karlien Mul, Martin H Jaeger, et al.
Pharmacoeconomics - Open|January 17, 2024
Cost-Effectiveness Analysis of Digital Breast Tomosynthesis Added to Synthetic Mammography in Breast Cancer Screening in BrazilHenrique Lima Couto, Ludmila Peres Gargano, Vilmar Marques de Oliveira, et al.
Radiology|April 18, 2014
The role of imaging specialists as authors of systematic reviews on diagnostic and interventional imaging and its impact on scientific quality: report from the EuroAIM Evidence-based Radiology Working GroupFrancesco Sardanelli, Humayun Bashir, Dominik Berzaczy, et al.
Nature Communications|November 7, 2024
An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancerYuan Gao, Sofia Ventura-Diaz, Xin Wang, et al.
Frontiers in Oncology|May 29, 2024
Vacuum-assisted excision: a safe minimally invasive option for benign phyllodes tumor diagnosis and treatment-a systematic review and meta-analysisMaria Luísa Braga Vieira Gil, Bertha Andrade Coelho, Henrique Lima Couto, et al.
Communications Medicine|February 6, 2025
Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imagingOliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, et al.
Scientific Data|March 20, 2025
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentationsLidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel, et al.
The Lancet. Oncology|November 27, 2025
The Lucerne Toolbox 3: digital health and artificial intelligence to optimise the patient journey in early breast cancer-a multidisciplinary consensusAndré Pfob, Katja Pinker, Ines Vaz-Luis, et al.
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