Search Results - zongwei+zhou

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Transparent NanoplasmonicMeshes for Bio-interfaced Multimodal Biochemical Sensing
THE CHALLENGE For multicellular systems such as microbial biofilms and tumors it is essential to capture the holistic system-level spatiotemporal picture. This allows for the understanding of complex and dynamically evolving biological activities to determine effective therapeutic intervention methods. Currently, standard bioanalysis methods do not...
Published: 2/1/2024   |   Inventor(s): Aditya Garg, Wei Zhou, Elieser Mejia
Keywords(s):  
Category(s): Technology Classifications > Chemicals/Materials, Technology Classifications, Technology Classifications > Biotechnology
Drug Dosage Testing using Surface-enhanced Raman Spectroscopy
THE CHALLENGE Plasmonic nanostructures have enabled label-free surfaceenhanced Raman spectroscopy (SERS) to emerge as a rapid nondestructive molecular fingerprint characterization technique for complex biological samples. However, label-free SERs bioanalysis faces significant challenges in reliability and reproducibility due to local optical field...
Published: 12/20/2023   |   Inventor(s): Wei Zhou, Wonil Nam
Keywords(s):  
Category(s): Technology Classifications > Biotechnology
Multiresonant Plasmonic Meshes for Bio-interfaced Sensing and Actuation
THE CHALLENGE Mesh plasmonic devices have the potential to combine the biocompatibility of polymeric meshes with the capabilities of plasmonic nanostructures to enhance nanoscale light-matter interactions for bio-interfaced optical sensing and actuation. However, scalable integration of uniformly structured plasmonic hotspot arrays with polymeric meshes...
Published: 6/20/2024   |   Inventor(s): Aditya Garg, Wei Zhou, Peter Vikesland
Keywords(s):  
Category(s): Technology Classifications > Biomedical, Technology Classifications, Technology Classifications > Biotechnology, Technology Classifications > Chemicals/Materials
Jianming Liang Portfolio
M11-093L: Development of a Highly Efficient and User-Friendly Software System for Carotid Intima-Media Thickness- Researchers at Arizona State University have developed a highly user-friendly system for semiautomatic CIMT image interpretation. Their contribution is the application of active contour models (snake models) with hard constraints, leading...
Published: 7/29/2024   |   Inventor(s): Zongwei Zhou, Jae Shin, 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: 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
Small Molecule Inhibitors Against Cancer-Associated Protein
Demonstrate a High Potency In Vivo, Making Them Strong Therapeutic Candidates for Cancer and Autoimmune Disorders These small molecules are inhibitors against protein arginine methyltransferase 5, which plays a role in tumor development and is overexpressed in several cancers, including lymphoma, glioblastoma, colorectal cancer, and prostate cancer....
Published: 7/12/2022   |   Inventor(s): Chenglong Li, Xiaozhi Yang, Wei Zhou
Keywords(s):  
Category(s): Technology Classifications > Human Health Care > Therapeutics
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
Transferable Visual Words (TransVW)
­ Computer-aided diagnosis (CAD) systems are invaluable in helping physicians better diagnose and treat diseases by using Artificial Intelligence (AI) to interpret medical images. Motivated by the early success of CAD systems, particularly those developed using deep learning algorithms, there is an intense interest in adopting them for applications...
Published: 2/23/2023   |   Inventor(s): Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Jianming Liang
Keywords(s):  
Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Diagnostics/Sensors, Medical Imaging
Semantic Genesis
Image analysis techniques are invaluable in helping physicians better diagnose and treat diseases and expand the utility of medical imaging. Self-supervised learning, in particular, is one of the most practical paradigms in deep learning for medical image analysis. Self-supervised learning methods are characterized by training deep models directly from...
Published: 2/23/2023   |   Inventor(s): Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Jianming Liang
Keywords(s):  
Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging
Semantic Genesis
Image analysis techniques are invaluable in helping physicians better diagnose and treat diseases and expand the utility of medical imaging. Self-supervised learning, in particular, is one of the most practical paradigms in deep learning for medical image analysis. Self-supervised learning methods are characterized by training deep models directly from...
Published: 2/23/2023   |   Inventor(s): Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Jianming Liang
Keywords(s):  
Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging
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