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European Radiology
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October 22, 2025
Multimodal artificial intelligence in breast cancer: towards integrated prediction and personalized care
Tianyu Zhang, Xinglong Liang, Ritse M Mann
Seminars in Nuclear Medicine
|
March 27, 2022
Application of Deep Learning in Breast Cancer Imaging
Luuk Balkenende, Jonas Teuwen, Ritse M Mann
The Lancet. Digital Health
|
March 18, 2026
Reappraising screening metrics and methodological considerations in artificial intelligence-augmented mammography
Suzanne L van Winkel, Ritse M Mann
European Radiology
|
June 23, 2026
Can multimodal AI bridge imaging and prognosis in breast cancer?
Tianyu Zhang, Nika Rasoolzadeh, Ritse M Mann
Radiology
|
July 31, 2019
Breast MRI: State of the Art
Ritse M Mann, Nariya Cho, Linda Moy
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
April 7, 2018
Automated Three-dimensional Breast US for Screening: Technique, Artifacts, and Lesion Characterization
Jan C M van Zelst, Ritse M Mann
Journal of Magnetic Resonance Imaging : JMRI
|
January 20, 2019
Contrast-enhanced MRI for breast cancer screening
Ritse M Mann, Christiane K Kuhl, Linda Moy
Journal of Magnetic Resonance Imaging : JMRI
|
April 11, 2023
New Approaches and Recommendations for Risk-Adapted Breast Cancer Screening
Marialena I Tsarouchi, Alma Hoxhaj, Ritse M Mann
Radiology
|
September 25, 2019
Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives
Krzysztof J Geras, Ritse M Mann, Linda Moy
Journal of Magnetic Resonance Imaging : JMRI
|
May 5, 2025
The Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future
Simone Schiaffino, Tianyu Zhang, Ritse M Mann, et al.
Page
of 19
Search research articles
Search
Showing results (21-30 of 184) with videos related to
Sort By:
Page
of 19
European Radiology
|
October 22, 2025
Multimodal artificial intelligence in breast cancer: towards integrated prediction and personalized care
Tianyu Zhang, Xinglong Liang, Ritse M Mann
Seminars in Nuclear Medicine
|
March 27, 2022
Application of Deep Learning in Breast Cancer Imaging
Luuk Balkenende, Jonas Teuwen, Ritse M Mann
The Lancet. Digital Health
|
March 18, 2026
Reappraising screening metrics and methodological considerations in artificial intelligence-augmented mammography
Suzanne L van Winkel, Ritse M Mann
European Radiology
|
June 23, 2026
Can multimodal AI bridge imaging and prognosis in breast cancer?
Tianyu Zhang, Nika Rasoolzadeh, Ritse M Mann
Radiology
|
July 31, 2019
Breast MRI: State of the Art
Ritse M Mann, Nariya Cho, Linda Moy
Radiographics : a Review Publication of the Radiological Society of North America, Inc
|
April 7, 2018
Automated Three-dimensional Breast US for Screening: Technique, Artifacts, and Lesion Characterization
Jan C M van Zelst, Ritse M Mann
Journal of Magnetic Resonance Imaging : JMRI
|
January 20, 2019
Contrast-enhanced MRI for breast cancer screening
Ritse M Mann, Christiane K Kuhl, Linda Moy
Journal of Magnetic Resonance Imaging : JMRI
|
April 11, 2023
New Approaches and Recommendations for Risk-Adapted Breast Cancer Screening
Marialena I Tsarouchi, Alma Hoxhaj, Ritse M Mann
Radiology
|
September 25, 2019
Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives
Krzysztof J Geras, Ritse M Mann, Linda Moy
Journal of Magnetic Resonance Imaging : JMRI
|
May 5, 2025
The Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future
Simone Schiaffino, Tianyu Zhang, Ritse M Mann, et al.
Page
of 19