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European Journal of Radiology
|
February 28, 2024
Artificial intelligence and explanation: How, why, and when to explain black boxes
Eric Marcus, Jonas Teuwen
Investigative Radiology
|
July 26, 2023
Artificial Intelligence-Enhanced Breast MRI: Applications in Breast Cancer Primary Treatment Response Assessment and Prediction
Roberto Lo Gullo, Eric Marcus, Jorge Huayanay, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
April 6, 2024
AI Applications to Breast MRI: Today and Tomorrow
Roberto Lo Gullo, Joren Brunekreef, Eric Marcus, et al.
Nature Communications
|
June 11, 2026
Towards robust foundation models for digital pathology
Jonah Kömen, Edwin D de Jong, Julius Hense, et al.
Nature Communications
|
December 8, 2025
Mammo-AGE: deep learning estimation of breast age from mammograms
Xin Wang, Tao Tan, Yuan Gao, et al.
Medical Image Analysis
|
February 26, 2026
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms
Xin Wang, Tao Tan, Yuan Gao, et al.
Ebiomedicine
|
May 29, 2025
Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features
Shannon Doyle, Esther H Lips, Eric Marcus, et al.
IEEE Transactions on Medical Imaging
|
March 26, 2024
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge
Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, et al.
Biorxiv : the Preprint Server for Biology
|
June 4, 2025
A functionally validated TCR-pMHC database for TCR specificity model development
Marius Messemaker, Bjørn P Y Kwee, Živa Moravec, et al.
Cancer Discovery
|
February 9, 2026
Single-cell spatial atlas of high-grade serous ovarian cancer uncovers MHC class II as a key predictor of spatial tumor ecosystems and clinical outcomes
Fernando Perez-Villatoro, Aleksandra Shabanova, Lilian van Wagensveld, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
European Journal of Radiology
|
February 28, 2024
Artificial intelligence and explanation: How, why, and when to explain black boxes
Eric Marcus, Jonas Teuwen
Investigative Radiology
|
July 26, 2023
Artificial Intelligence-Enhanced Breast MRI: Applications in Breast Cancer Primary Treatment Response Assessment and Prediction
Roberto Lo Gullo, Eric Marcus, Jorge Huayanay, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
April 6, 2024
AI Applications to Breast MRI: Today and Tomorrow
Roberto Lo Gullo, Joren Brunekreef, Eric Marcus, et al.
Nature Communications
|
June 11, 2026
Towards robust foundation models for digital pathology
Jonah Kömen, Edwin D de Jong, Julius Hense, et al.
Nature Communications
|
December 8, 2025
Mammo-AGE: deep learning estimation of breast age from mammograms
Xin Wang, Tao Tan, Yuan Gao, et al.
Medical Image Analysis
|
February 26, 2026
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms
Xin Wang, Tao Tan, Yuan Gao, et al.
Ebiomedicine
|
May 29, 2025
Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features
Shannon Doyle, Esther H Lips, Eric Marcus, et al.
IEEE Transactions on Medical Imaging
|
March 26, 2024
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge
Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, et al.
Biorxiv : the Preprint Server for Biology
|
June 4, 2025
A functionally validated TCR-pMHC database for TCR specificity model development
Marius Messemaker, Bjørn P Y Kwee, Živa Moravec, et al.
Cancer Discovery
|
February 9, 2026
Single-cell spatial atlas of high-grade serous ovarian cancer uncovers MHC class II as a key predictor of spatial tumor ecosystems and clinical outcomes
Fernando Perez-Villatoro, Aleksandra Shabanova, Lilian van Wagensveld, et al.
Page
of 1