Optimal and Pure Leaf Classification Trees for Machine Learning (ML) Decision-Making
TS-067550 — A method to improve the performance and accuracy
of ML-based decision trees.
Decision trees are popular machine learning (ML) methods used in classification and regression problems, and they have numerous applications in the real world. Various industries use decision trees to help decide strategies, investments, and operations. In addition, they are used in healthcare to he…
- College: College
of
Engineering
(COE)
- Inventors: Allen, Theodore; Arrey, Evelyn; Booth, Matthew; Liu, Enhao; Mashayekhi, Medhi
- Licensing Officer: Zinn, Ryan
Dust Analysis: A Novel Approach to Monitoring Viral Spread
TS-066962 — The Need
Viral disease surveillance (e.g. influenza, SARS-CoV-2) in high-risk settings faces several challenges, such as asymptomatic carriers, incomplete reporting, resource limitations, and delayed diagnosis of traditional swab test methods. These challenges could allow a virus to silently spread…
- College: College
of
Engineering
(COE)
- Inventors: Dannemiller, Karen; Faith, Seth; Hull, Natalie; Nastasi, Nick; Renninger, Nicole
- Licensing Officer: Ashouripashaki, Mandana
Color Correction System for Accurate Colorimetric Smartphone Measurements
TS-066957 — The Need
Colorimetric tests and remote image analysis are used in a wide range of industrial and medical applications. Digital image-based measurements made with smartphones are a promising platform to quantify colors at low cost, but suffer from inconsistency and errors caused by lens quality, sen…
- College: College
of
Engineering
(COE)
- Inventors: Dannemiller, Karen; Panescu, Jenny; Qin, Rongjun; Song, Shuang; Zhang, Guixiang
- Licensing Officer: Ashouripashaki, Mandana
A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
TS-063238 — A novel regularization technique applicable for medical imaging applications that leverages conditional generative adversarial networks (cGANs) to generate reconstructed images in significantly shorter timeframes.
The Need
Several techniques are used for image reconstruction in the medical aren…
- College: College
of
Engineering
(COE)
- Inventors: Bendel, Matthew; Ahmad, Rizwan; Schniter, Philip
- Licensing Officer: Hampton, Andrew
Convolutional Neural Network to Assess Phayngeal and Laryngeal Pathology and Function on Nasopharyngolaryngoscopy
TS-063154 — Worldwide, 686,000 new head and neck (H&N) cancers are diagnosed yearly, and 375,000 people will die annually. Human papillomavirus (HPV) is responsible for an increasing subset of H&N malignancies called oropharyngeal squamous cell carcinomas (OPSCC). Although it has a better prognosis than…
- College: College
of
Engineering
(COE)
- Inventors: Krening, Samantha; Gifford, Ryan; Jhawar, Sachin; VanKoevering, Kyle
- Licensing Officer: Hampton, Andrew
Methods to measure biophysical attributes of the posterior eye
TS-062505 — The Need
Glaucoma and myopia are significant causes of vision loss worldwide, affecting millions of people and imposing a substantial socioeconomical burden. Effective vision care strategies are urgently needed to reduce blindness caused by these conditions and mitigate their associated risks. In v…
- College: College
of
Engineering
(COE)
- Inventors: Liu, Jun; Kwok, Sunny
- Licensing Officer: Randhawa, Davinder
ANTENNA-IMPREGNATED FABRICS FOR RECUMBENT HEIGHT MEASUREMENT
TS-062493 —
Children whose heights or growth rates fall outside of the normal range can be identified as having short stature (less than the 3rd percentile) or tall stature (above the 97th percentile) or as having abnormal growth velocity. Serial height measurements over time are key to identifying these patt…
- College: College
of
Engineering
(COE)
- Inventors: Kiourti, Asimina; Militello, Lisa
- Licensing Officer: Randhawa, Davinder
Venc Design and Velocity Estimation for Phase-Contrast MRI (Free-breathing Accelerated MRI Portfolio)
TS-062482 — Magnetic Resonance Imaging (MRI) is a versatile noninvasive imaging tool that is routinely used to evaluate many diseases and conditions. MRI
offers exquisite s
oft tissue contrast and high spatial resolution to enable comprehensive structural and functional assessment
of internal organs. Recent innovations in data acquisition and processing can expand the clinical applications
of MRI.
The Need
A major limitation of MRI is slow data acquisition, which can compromise patient comfort, drive up costs, and increase susceptibility to motion. The clinical adoption of volumetric imaging for musculoskeletal and neuro applications, the growing
demand for free-breathing real-time imaging …
- College: College
of
Engineering
(COE)
- Inventors: Zhao, Shen; Ahmad, Rizwan; Potter, Lee
- Licensing Officer: Randhawa, Davinder
An AI Solution for Mobile Stroke Detection for TeleMedicine, Hospital and Paramedic Use
TS-060782 — Problem Statement:
Diagnosis of arterial occlusion and an associated stroke can be lengthy, delaying patient access to treatment. As large vessel occlusions account for 24 to 46% of acute ischemic strokes and may require treatment in a comprehensive stroke center, early diagnosis is key.
Solution:…
- College: College
of
Engineering
(COE)
- Inventors: Yilmaz, Alper; Gulati, Deepak Kumar
- Licensing Officer: Hampton, Andrew
Pheno - A modern, multi-faceted, data-driven technology platform for addressing low back and neck pain
TS-052847 —
Back and neck pain is one of the world’s biggest health problems, and one which most people will experience during some stage in their lives. An estimated 80% of people will face this issue, although the severity of the pain may differ. Approximately 50 billion USD are spent by Americans eac…
- College: College
of
Engineering
(COE)
- Inventors: Marras, William; Aurand, Alexander "Alex"; Dufour, Jonathan; Knapik, Gregory; Prasath, Prasath Mageswaran
- Licensing Officer: Hampton, Andrew
Louie: An Augmented Reality Sensory Trigger Wayfinding System for People with Autism
TS-043077 — An Augmented Reality Sensory Trigger Wayfinding System for People with Autism
Millions of people on the Autism spectrum face challenges getting from place to place due to sensory sensitivities to sounds, sights, smells, tastes, physical feelings, and crowds. Due to these triggers, people with Autism have a strong need to know where they are going and what will be there so t…
- College: College
of
Engineering
(COE)
- Inventors: Ezell, Jonathan; Kaufman, Robert; Kaufman, Michael
- Licensing Officer: Randhawa, Davinder