Search Results - ruibin+feng

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Self-supervised Learning: From Parts to Whole
­ As machine learning grows and advances, contrastive representation learning continues to emerge as the state-of-the-art technique in computer vision. Contrastive representation learning, however, has major limitations that make it problematic for 3D medical imaging, such as requiring extensive mini-batch sizes, special network design, or memory...
Published: 2/23/2023   |   Inventor(s): Ruibin Feng, Zongwei Zhou, Jianming Liang
Keywords(s):  
Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging
Self-supervised Learning: From Parts to Whole
­As machine learning grows and advances, contrastive representation learning continues to emerge as the state-of-the-art technique in computer vision. Contrastive representation learning, however, has major limitations that make it problematic for 3D medical imaging, such as requiring extensive mini-batch sizes, special network design, or memory...
Published: 12/7/2023   |   Inventor(s): Jianming Liang, Zongwei Zhou, Ruibin Feng
Keywords(s):  
Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Diagnostics/Sensors, Medical Imaging
Models Genesis: Autodidactic Models for 3D Medical Image Analysis
Image analysis techniques are becoming invaluable in the medical field, as they have been shown to help physicians better diagnose and treat diseases and expand the utility of medical imaging. Transfer learning, in particular, is one of the most practical paradigms in deep learning for medical image analysis. In conventional transfer learning, source...
Published: 2/23/2023   |   Inventor(s): Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Jianming Liang
Keywords(s):  
Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Diagnostics/Sensors, Medical Imaging
Fixed-Point Generative Adversarial Networks
Generative adversarial networks (GANs) are revolutionizing image-to-image translation, which is attractive to researchers in the medical imaging community. While using GANs to reveal diseased regions in a medical image is appealing, it requires a GAN to identify a minimal subset of target pixels for domain translation, also known as fixed-point translation,...
Published: 2/23/2023   |   Inventor(s): Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Ruibin Feng, Nima Tajbakhsh, Jianming Liang
Keywords(s):  
Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging