Self-Supervision via Data Undersampling (SSDU) Software- Evaluation License
Self-supervised physics-based deep learning reconstruction without fully-sampled data for MRI
Rapid detection and prediction of functional characteristics of dairy powders using near-infrared spectroscopy
A model for predicting the functional properties of dairy powders characterized using NIR spectroscopy
DeepPTx: parallel transmission MRI using deep learning
A novel deep neural network to enhance MRI image reconstruction.
SSDU software for non-Cartesian trajectories- Evaluation License
Non-Cartesian implementation of a self-supervised physics-based deep learning reconstruction without fully-sampled data
Image processing technique for improved MRI image fidelity
A novel technique to improve MRI image fidelity via the combination of a denoising and deep learning-based reconstruction.
Dual frequency RF coil for magnetic resonance imaging
A novel RF resonant coil that can operate at both X-nuclear and proton frequencies.
Highly fluorinated compounds for magnetic resonance-based temperature sensing
Novel fluorinated molecules for temperature sensing by MRI thermometry.
Endotracheal intubation with computer vision
A machine learning-based intubation tube for autonomous or computer-assisted endotracheal intubation.
Steerable magneto-photonic particles for targeted delivery and collection of light
An embeddable magneto-photonic microparticle that can be externally positioned and orientated for targeted delivery and collection of light.
Apparatus and method for tuning the permittivity of ultrahigh dielectric constant materials in an RF coil for MR imaging
Tunable ultrahigh dielectric constant ceramics to significantly improve RF coil efficiency, detection sensitivity, and imaging signal-to-noise ratio in magnetic resonance systems
Electron paramagnetic resonance (EPR) imaging without magnet
A method which produces low cost EPR imaging with better receiver isolation and no magnet requirement
Method for mass production of high performance magnetic nanoparticles for biomedical applications
Iron nitride nanoparticles are post-processed by applying a wet ball milling method in conjunction with different surface-active media and centrifugation steps to obtain ultra-stable, monodispersed, uniformly sized, surface-functionalized, and sub-100-nm iron nitride nanoparticles suitable for biomedical applications
Accelerating MRI data acquisition with segmented 2D pulses
A method for accelerating MRI data acquisition with segmented 2D pulses using virtual coils.
Non-Cartesian k-space reconstruction to improve acquisition efficiency
A non‐Cartesian k‐space reconstruction method using self-calibrated, region‐specific interpolation kernels for highly accelerated acquisitions in MRI.
MRI RF coil for improved field efficiency and image quality
A novel RF coil design with high dielectric constant materials to improve B1+ efficiency in MRI systems.
A hybrid machine learning-based magnetic resonance image reconstruction
A machine learning-based magnetic resonance image reconstruction algorithm that combines the benefits of both linear GRAPPA and nonlinear RAKI methods.
Quantitative relaxation mapping
Pulse sequence for MRI scanners
Utilizing periodic irradiation to enhance sensitivity of magnetic resonance detection
A periodic irradiation method for measuring exchange-induced relaxation rate constants to characterize tissue properties using MR spectroscopy.
Detection of toxic small molecules using polymers and Raman scattering
A method to capture one or more analytes using polymers to enable multiplex quantitative detection by surface-enhanced Raman scattering
MRI of Amyloid Plaque in the Brain
Improved Nuclear Magnetic Resonance Spectroscopy Using Half-Spin Echo Data Recovery
Visualization of intracardiac electrograms on 3D heart model (VIEgram)
A software for easy visualization of intracardiac electrograms on 3D heart models.
Improving photovoltaic cell efficiency by employing highly stable, earth-abundant nanoparticle system
A novel nanomaterial for applications involving photon upconversion.
Self-supervised physics-based deep learning reconstruction without fully-sampled data
Methods for training machine learning algorithms without fully-sampled reference data for inverse problems.
MRI Pre-Scan Method for Imaging Metallic Devices
CMRR - Center for Magnetic Resonance Research Software for Siemens MRI Scanners
Optimized Radio Frequency Pulses Generated From Magnetic Resonance User Defined Parameters
Scan-Specific Machine Learning Reconstruction for MRI
Enhanced Resolution Cardiac MRI
Denoising Magnetic Resonance Imaging Data
NOise reduction with DIstribution Corrected (NORDIC) technique for improving MRI imaging.