228 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The Ohio State UniversityUS8 papers
- Simon Fraser UniversityCA2 papers
- University of British ColumbiaCA2 papers
- University of MiamiUS2 papers
- University of NottinghamGB2 papers
- Wake Forest UniversityUS2 papers
- BAE Systems (Sweden)SE1 paper
- Delft University of TechnologyNL1 paper
- Laboratory for Laser EnergeticsUS1 paper
- Memorial University of NewfoundlandCA1 paper
- Oakland UniversityUS1 paper
- University of MichiganUS1 paper
12 papers
Electron-hole liquid in biological tissues under ultra high dose rate ionizing radiation
Diana Shvydka, Victor Karpov
We develop a quantitative model of ionization processes in biological tissues under Ultra High Dose Rate (UHDR) radiation. The underlying conjecture is that of electron-hole liquid…
An unsupervised method for MRI recovery: Deep image prior with structured sparsity
Muhammad Ahmad Sultan, Chong Chen, Yingmin Liu +3
Objective: To propose and validate an unsupervised MRI reconstruction method that does not require fully sampled k-space data. Materials and Methods: The proposed method, deep imag…
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
Yidong Zhao, Yi Zhang, Orlando Simonetti +2
Accurate biventricular segmentation of cardiac magnetic resonance (CMR) cine images is essential for the clinical evaluation of heart function. However, compared to left ventricle…
Groupwise Image Registration with Edge-Based Loss for Low-SNR Cardiac MRI
Xuan Lei, Philip Schniter, Chong Chen +1
Purpose: To perform image registration and averaging of multiple free-breathing single-shot cardiac images, where the individual images may have a low signal-to-noise ratio (SNR).…
Motion-robust free-running volumetric cardiovascular MRI
Syed M. Arshad, Lee C. Potter, Chong Chen +7
PURPOSE: To present and assess an outlier mitigation method that makes free-running volumetric cardiovascular MRI (CMR) more robust to motion. METHODS: The proposed method, called…
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis
Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac +8
Dementia of Alzheimer's Type (DAT) is a complex disorder influenced by numerous factors, but it is unclear how each factor contributes to disease progression. An in-depth examinati…
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease
Ghazal Mirabnahrazam, Da Ma, Sieun Lee +7
Background: The increasing availability of databases containing both magnetic resonance imaging (MRI) and genetic data allows researchers to utilize multimodal data to better under…
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao, Shuwei Shen, Mengjuan Xu +6
Deep convolutional neural network (DCNN) models have been widely explored for skin disease diagnosis and some of them have achieved the diagnostic outcomes comparable or even super…
Automated Coronary Artery Atherosclerosis Detection and Weakly Supervised Localization on Coronary CT Angiography with a Deep 3-Dimensional Convolutional Neural Network
Sema Candemir, Richard D. White, Mutlu Demirer +4
We propose a fully automated algorithm based on a deep learning framework enabling screening of a coronary computed tomography angiography (CCTA) examination for confident detectio…
Single-Shot Multi-Stage Damage and Ablation of Silicon by Femtosecond Mid-infrared Laser Pulses
Kevin Werner, Vitaly Gruzdev, Noah Talisa +4
Although ultrafast laser materials processing has advanced at a breakneck pace over the last two decades, most applications have been developed with laser pulses at near-IR or visi…
Understanding State level Variations in U.S. Infant Mortality: 2000 to 2015
Alireza Ebrahimvandi, Niyousha Hosseinichimeh, Jay Iams
Objective: To exploit state variations in infant mortality, identify diagnoses that contributed to reduction of the infant mortality rate (IMR), and examine factors associated with…
Pattern Formation of Glioma Cells: Effects of Adhesion
Evgeniy Khain, Casey M. Schneider-Mizell, Michal O. Nowicki +3
We investigate clustering of malignant glioma cells. \emph{In vitro} experiments in collagen gels identified a cell line that formed clusters in a region of low cell density, where…