Search Results - algorithm

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Artificial Neural Network Train-Time Poison Defense via Energy-Based Model Dynamics Sampling (Case No. 2024-199)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel preprocessing algorithm to purify imperceptibly poisoned training datasets that may lead to misclassification and maintain image quality. Background: Large datasets are important for the effectiveness of machine learning models, serving as the...

Published: 9/30/2024 | Inventor(s): Gregory Pottie, Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang

Keywords(s): AI algorithms, Algorithm, Artificial Intelligence, artificial intelligence augmentation, Automation, Autonomous driving, Big Data, Computer Aided Learning, Data Corruption, Digital Health, Machine Learning, Machine Learning Autonomous Car Gradient Descent

Category(s): Software & Algorithms, Platforms > Diagnostic Platform Technologies, Therapeutics > Radiology, Medical Devices > Monitoring And Recording Systems, Medical Devices > Neural Stimulation, Mechanical > Sensors

Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)

Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...

Published: 9/3/2024 | Inventor(s): Maxime Cannesson, Sungsoo (Danny) Kim, Akos Rudas, Jeffrey Chiang, Ravi Pal

Keywords(s): active learning, Algorithm, algorithm-based testing, arterial blood pressure (ABP), Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence algorithms, blood cancers, blood flow management, Blood Pressure, Blood Proteins, cardiovascular monitoring, catheter, Catheterization, central venous pressure (CVP), Computer Aided Learning, Continuous blood pressure monitoring, critical care, curriculum learning, Deep Learning, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, Machine Learning, non-invasive monitoring, Perceptual Learning, pulmonary arterial pressure (PAP), Software & Algorithms, Swan-Ganz catheter

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Monitoring And Recording Systems

Low-Latency Trellis Decoder (Case No. 2024-171)

Summary: UCLA researchers have developed a new algorithm to rapidly decode transmitted data packets with low latency. Background: Convolutional codes (CCs) are used extensively in wireless communication systems to improve data transmission reliability over noisy signals. CCs must be decoded following transmission to be accurately interpreted by receiving...

Published: 10/22/2024 | Inventor(s): Richard Wesel, Amaael Antonini, Wenhui Sui

Keywords(s): AI algorithms, Algorithm, assistive communication, Cloud Computing, Communication & Networking, Communications Satellite, Convolutional codes, decoders, decoding algorithm, digital networks, energy-efficient wireless communication, graphics processing units, high-speed communications, IoT communication, low latency computing, Optical networks, parallel computing, quantum communication, scalable communication, signal decoding, Software & Algorithms, tail-biting convolutional codes, Telecommunication, trellis decoding, trellis diagrams, Viterbi Algorithm, wireless communication

Category(s): Electrical, Electrical > Signal Processing, Software & Algorithms, Software & Algorithms > Communication & Networking

Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)

Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....

Published: 9/20/2024 | Inventor(s): Matthew Brown, Dieter Enzmann, John Hoffman, Michael Mcnitt-Gray

Keywords(s): AI algorithms, Algorithm, Algorithm Optical Coherence Tomography, algorithmic cancer detection, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, Big Data, Bladder Cancer, blood cancers, Brain cancer, Breast Cancer, Cancer, cancer antigen, cancer detection, Cancer Immunotherapy, Cancer stem cells, cancer target, Computed tomography, CT, Deep Learning, design software, Digital Pathology, generative artificial intelligence, Genetic Algorithm, Histopathological image analysis, Histopathology, histopathology images, hyperparameter optimization, Image Analysis, Image Processing, lympathic cancers, lymphatic cancer, Medical artificial intelligence (AI), Mesenchymal Stem Cell Derived Cancer Cells, Orthotopic cancer models, Pancreatic cancer, pathology image analysis, Photon counting computed tomography (PCCT), prostate cancer, Radiology, Radiology / Radiomitigation, Software, Software & Algorithms, Software Development Tools, Software-enabled learning

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics

Novel Method to Group Pixels for Medical Imaging (UCLA Case No. 2022-290)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a new computational pipeline for identifying lesions in MRI data. Background: Prostate cancer is one of the most common cancer types with 12.6% of men diagnosed within their lifetime. Prostate cancer ranks as the 2nd leading cause of cancer-related deaths in the...

Published: 7/31/2023 | Inventor(s): Ashley Yeager

Keywords(s): AI algorithms, Algorithm, algorithmic cancer detection, Cancer, cancer detection, DICOM, multiparametric MRI (mpMRI), prostate cancer, Radiology, Software & Algorithms, Tumor, Tumor Marker

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health

2023-021 A Ferrobotic Swarm Technology for Accessible, Adaptable, and Automated Testing

Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed an automated, algorithm-driven nucleic acid amplification test (NAAT) method that is easy to manufacture, distribute, and yields accurate results with reduced demand of testing reagents. Background: Major epidemics over the last two decades have emerged...

Published: 8/8/2023 | Inventor(s): Dino Di Carlo, Sam Emaminejad, Haisong Lin, Wenzhuo Yu, Kiarash AmirMozafariSabet

Keywords(s): Algorithm, algorithm-based testing, automated testing, Automation, Cell Counting/Imaging, COVID-19, Ferrofluid, ferrorobotics, high throughput testing, Nanotechnology, nucleic acid amplification test (NAAT), Nucleic Acid Platform Systems, Nucleic Acids, polymerase chain reaction (PCR), pooling, Software & Algorithms, viral testing

Category(s): Software & Algorithms, Life Science Research Tools, Life Science Research Tools > Research Methods, Electrical > Electronics & Semiconductors, Diagnostic Markers, Life Science Research Tools > Cell Counting And Imaging, Platforms > Diagnostic Platform Technologies

2022-214 Machine-Learning-Based Automatic Analysis of Electrochemical Characterizations

SUMMARY: UCLA researchers in the Department of Chemistry and Biochemistry have developed a machine-learning based algorithm that identifies reaction mechanisms from cyclic voltammetry data and offers accurate interpretations of complex electrochemical data. BACKGROUND: Electrochemistry is a readily accessible and valuable tool for researchers to...

Published: 7/19/2023 | Inventor(s): Chong Liu, Quanquan Gu, Benjamin Hoar, Weitong Zhang

Keywords(s): Algorithm, Instrumentation & Analysis, Life Science Research Tools, Machine Learning, Software & Algorithms

Category(s): Life Science Research Tools > Research Methods, Electrical > Instrumentation, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Programs

2019-002 Motility-Based Label-Free Detection of Parasites in Bodily Fluids Using Holographic Speckle Analysis and Deep Learning

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed deep learning-based, cost-effective, and portable optical devices that facilitate label-free, high-throughput and sensitive detection of motile parasites. Background: Parasitic infections are a major global public health issue, but current screening...

Published: 10/25/2023 | Inventor(s): Aydogan Ozcan, Yibo Zhang, Hatice Ceylan Koydemir

Keywords(s): Algorithm, Artificial Intelligence, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Disease, Holography, Imaging, Infection, Infectious Diseases, Infectivity, Monitoring (Medicine), Optics, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Life Science Research Tools, Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Therapeutics > Infectious Diseases

2022-243 A Computerized Tool Designed to Provide Cognitive Assistance for the Diagnosis of the Neurological Symptoms that may Appear After a Head Trauma in Children and Young Adults

Summary: UCLA researchers in the David Geffen School of Medicine and USC researchers in the Viterbi School of Engineering have developed a computerized diagnostic tool which can identify and rank the probability of neurological symptoms that may appear after a head trauma in childhood and adolescence solely based on patient-reported symptoms. Background: Head...

Published: 7/19/2023 | Inventor(s): Shahram Yazdani, Ronald Henry, Christopher Giza

Keywords(s): Algorithm, Artificial Intelligence, Artificial Neural Network, Diagnostic Test, Head Injury, Medical Device, Software & Algorithms, Spinal Cord Injury, Trauma (Medicine), Traumatic Brain Injury

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices

Active Learning for the Subgraph Matching Problem (Case No. 2022-104)

Summary: UCLA researchers in the Department of Mathematics have developed a technology to improve Artificial Intelligence pattern recognition for image segmentation, bio-chemical reactions and security applications. Background: Recently, there has been an increase in the quantity and complexity of generated data. Businesses that deal with large...

Published: 9/27/2024 | Inventor(s): Andrea Bertozzi, Yurun Ge

Keywords(s): Algorithm, Software, Software & Algorithms, Software Development Tools

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics

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