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European Radiology
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January 31, 2025
A practical work around for breast density distribution discrepancies between mammographic images from different vendors
Tobias Wagner, Lesley Cockmartin, Yao-Kuan Wang, et al.
Scientific Reports
|
December 21, 2019
Comparison of Escherichia coli surface attachment methods for single-cell microscopy
Yao-Kuan Wang, Ekaterina Krasnopeeva, Ssu-Yuan Lin, et al.
Radiology. Artificial Intelligence
|
September 3, 2025
Using Explainable AI to Characterize Features in the Mirai Mammographic Breast Cancer Risk Prediction Model
Yao-Kuan Wang, Zan Klanecek, Tobias Wagner, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
June 29, 2026
Illustration of transfer learning from breast cancer detection to risk prediction: adaptation to local data and local objectives
Tobias Wagner, Zan Klanecek, Yao-Kuan Wang, et al.
Helicobacter
|
April 13, 2017
Inactivation of ferric uptake regulator (Fur) attenuates Helicobacter pylori J99 motility by disturbing the flagellar motor switch and autoinducer-2 production
Ai-Yun Lee, Cheng-Yen Kao, Yao-Kuan Wang, et al.
Physics in Medicine and Biology
|
February 6, 2025
Impact of pectoral muscle removal on deep-learning-based breast cancer risk prediction
Zan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology
|
April 7, 2025
Sensitivity of a deep-learning-based breast cancer risk prediction model
Zan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology
|
December 11, 2024
Longitudinal interpretability of deep learning based breast cancer risk prediction
Zan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology
|
May 3, 2023
Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout
Zan Klanecek, Tobias Wagner, Yao-Kuan Wang, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
European Radiology
|
January 31, 2025
A practical work around for breast density distribution discrepancies between mammographic images from different vendors
Tobias Wagner, Lesley Cockmartin, Yao-Kuan Wang, et al.
Scientific Reports
|
December 21, 2019
Comparison of Escherichia coli surface attachment methods for single-cell microscopy
Yao-Kuan Wang, Ekaterina Krasnopeeva, Ssu-Yuan Lin, et al.
Radiology. Artificial Intelligence
|
September 3, 2025
Using Explainable AI to Characterize Features in the Mirai Mammographic Breast Cancer Risk Prediction Model
Yao-Kuan Wang, Zan Klanecek, Tobias Wagner, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
June 29, 2026
Illustration of transfer learning from breast cancer detection to risk prediction: adaptation to local data and local objectives
Tobias Wagner, Zan Klanecek, Yao-Kuan Wang, et al.
Helicobacter
|
April 13, 2017
Inactivation of ferric uptake regulator (Fur) attenuates Helicobacter pylori J99 motility by disturbing the flagellar motor switch and autoinducer-2 production
Ai-Yun Lee, Cheng-Yen Kao, Yao-Kuan Wang, et al.
Physics in Medicine and Biology
|
February 6, 2025
Impact of pectoral muscle removal on deep-learning-based breast cancer risk prediction
Zan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology
|
April 7, 2025
Sensitivity of a deep-learning-based breast cancer risk prediction model
Zan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology
|
December 11, 2024
Longitudinal interpretability of deep learning based breast cancer risk prediction
Zan Klanecek, Yao-Kuan Wang, Tobias Wagner, et al.
Physics in Medicine and Biology
|
May 3, 2023
Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout
Zan Klanecek, Tobias Wagner, Yao-Kuan Wang, et al.
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of 1