Machine Learning in Medical Imaging - Lecture Notes in Computer Science
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9783030598600, 9783030598617
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Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN

2020 ◽  
pp. 523-531
Author(s):  
Zahra Ghanian ◽  
Andreu Badal ◽  
Kenny Cha ◽  
Mohammad Mehdi Farhangi ◽  
Nicholas Petrick ◽  
...  
Keyword(s):  
Target Acquisition ◽  
Mammographic Image ◽  
Image Conversion

scholarly journals Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation

2020 ◽  
pp. 504-512
Author(s):  
Sebastian Gündel ◽  
Arnaud A. A. Setio ◽  
Sasa Grbic ◽  
Andreas Maier ◽  
Dorin Comaniciu
Keyword(s):  
Local Feature ◽  
Feature Augmentation

scholarly journals Importance Driven Continual Learning for Segmentation Across Domains

2020 ◽  
pp. 423-433
Author(s):  
Sinan Özgün ◽  
Anne-Marie Rickmann ◽  
Abhijit Guha Roy ◽  
Christian Wachinger
Keyword(s):  
Continual Learning

scholarly journals Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets

2020 ◽  
pp. 644-653
Author(s):  
Sandesh Ghimire ◽  
Satyananda Kashyap ◽  
Joy T. Wu ◽  
Alexandros Karargyris ◽  
Mehdi Moradi
Keyword(s):  
Feature Representation ◽  
X Ray ◽  
Invariant Feature ◽  
Chest X Ray

scholarly journals Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers

2020 ◽  
pp. 270-280
Author(s):  
Jyotirmay Senapati ◽  
Abhijit Guha Roy ◽  
Sebastian Pölsterl ◽  
Daniel Gutmann ◽  
Sergios Gatidis ◽  
...  
Keyword(s):  
Neural Networks ◽  
Uncertainty Estimation ◽  
Imaging Biomarkers ◽  
Bayesian Neural Networks
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