Search Results - jianming+liang

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p300 KO HEK293T Cell Line for Multiple Research Applications
This technology includes p300 KO HEK293T cells using crispr/cas9 mediated gene editing technology to be used for various research applications. We showed that p300 deficient cells have impaired glycolysis and are hypersensitive to glucose depletion-induced cell death. p300 is one of major transcriptional co-activators that regulates gene transcription...
Published: 8/12/2024   |   Inventor(s): Ming Ji, Xiaoling Li
Keywords(s):  
Category(s): Application > Research Materials, ResearchProducts > Human Cell Lines, TherapeuticArea > Neurology
Vapor-Deposited Perovskite Film for Photovoltaic Applications
Background Perovskites have been widely considered as promising next-generation materials for future display and solid-state lighting applications. Most perovskite LEDS are mainly produced via solution processing, and over 20% external quantum efficiencies (EQE) in LEDs have been achieved in recent studies. However, vacuum-based deposition has attracted...
Published: 12/14/2023   |   Inventor(s): Jian Li
Keywords(s):  
Category(s): Advanced Materials/Nanotechnology, Semiconductors, Materials & Processes, Physical Science, Manufacturing/Construction/Mechanical, Energy & Power, Alternative Energy
Vapor Deposited and Doped Perovskite Thin Film for LED Applications
Background Perovskites have widely been considered as promising next-generation materials for future display and solid-state lighting applications. Most current perovskite LEDs are produced using solution processing, and over 20% external quantum efficiencies (EQE) in LEDs have been achieved in recent studies. Vacuum-based deposition has also attracted...
Published: 10/1/2024   |   Inventor(s): Tianxin Li, Jian Li, Lin Song Li
Keywords(s): Fuel Cells, Energy, Materials and Electronics
Category(s): Physical Science, Manufacturing/Construction/Mechanical, Advanced Materials/Nanotechnology, Energy & Power
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: 12/18/2024   |   Inventor(s): Zongwei Zhou, Jae Shin, Jianming Liang
Keywords(s):  
Category(s): Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging
Self-Expanding Stent for Valve Replacement
Aortic stenosis and aortic regurgitation are the most common types of aortic valvular diseases. Such diseased aortic valves in the body are traditionally replaced with valve prosthesis by an open surgical implantation. Available for licensing and commercial development is intellectual property covering stents for use with valve prostheses. As illustrated...
Published: 10/28/2024   |   Inventor(s): Dumitru Mazilu, Ming Li, Keith Horvath
Keywords(s): AB3AXX, AB3CXX, AB3XXX, ABXXXX, Aortic Retinosis, AXXXXX, Patent Category - Mech/Elect/Soft, Self-expanding, STENT, Valve
Category(s): Collaboration Sought > Collaboration, Collaboration Sought > Licensing
Fabrication of metal-insulator-semiconductor photoelectrodes
Background Photoelectrochemical (PEC) water splitting is a promising technology for converting solar energy into clean and storable chemical energy. In PEC cells, semiconductors play a key role in absorbing photons from the light source to create mobile charge carriers. Various semiconductor materials have been studied for the high-performance PEC cells,...
Published: 12/11/2023   |   Inventor(s): Edward Yu, Soonil Lee, Li Ji
Keywords(s):  
Category(s): Physical sciences > Semiconductor, Physical sciences > Green tech
Medical Image Segmentation with Interactive Refinement
­Medical Imaging is an important tool utilized for diagnosing, monitoring and treating medical conditions. In medical imaging, anatomical or pathological structures may be difficult to distinguish, thus medical image segmentation is utilized to make those structures clearer. Manual segmentation approaches are tedious, and expensive. Deep convolutional...
Published: 12/18/2024   |   Inventor(s): Diksha Goyal, Jianming Liang
Keywords(s):  
Category(s): Computing & Information Technology, Life Science (All LS Techs), Imaging, 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: 12/18/2024   |   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: 12/18/2024   |   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: 12/18/2024   |   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
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