92 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS12 papers
- Johns Hopkins UniversityUS8 papers
- Vanderbilt UniversityUS6 papers
- Johns Hopkins MedicineUS5 papers
- Institute on AgingUS3 papers
- Rush University Medical CenterUS3 papers
- University of PittsburghUS3 papers
- Indiana University BloomingtonUS2 papers
- Queen Mary University of LondonGB2 papers
- Takeda (United States)US2 papers
- Tel Aviv Sourasky Medical CenterIL2 papers
- Tel Aviv UniversityIL2 papers
19 papers
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
Chenyu Gao, Michael E. Kim, Karthik Ramadass +27
Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting ea…
An Eigenfunction Approach to Conversion of the Laplace Transform of Point Masses on the Real Line to the Fourier Domain
Michael McKenna, Hrushikesh N. Mhaskar, Richard G. Spencer
Motivated by applications in magnetic resonance relaxometry, we consider the following problem: Given samples of a function , where i…
Predicting Age from White Matter Diffusivity with Residual Learning
Chenyu Gao, Michael E. Kim, Ho Hin Lee +17
Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimat…
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models
Xin Yu, Qi Yang, Yucheng Tang +8
2D low-dose single-slice abdominal computed tomography (CT) slice enables direct measurements of body composition, which are critical to quantitatively characterizing health relati…
Scalar on time-by-distribution regression and its application for modelling associations between daily-living physical activity and cognitive functions in Alzheimer's Disease
Rahul Ghosal, Vijay R. Varma, Dmitri Volfson +4
Wearable data is a rich source of information that can provide deeper understanding of links between human behaviours and human health. Existing modelling approaches use wearable d…
Distributional data analysis via quantile functions and its application to modelling digital biomarkers of gait in Alzheimer's Disease
Rahul Ghosal, Vijay R. Varma, Dmitri Volfson +5
With the advent of continuous health monitoring with wearable devices, users now generate their unique streams of continuous data such as minute-level step counts or heartbeats. Su…
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
Yuankai Huo, Zhoubing Xu, Yunxi Xiong +7
Detailed whole brain segmentation is an essential quantitative technique, which provides a non-invasive way of measuring brain regions from a structural magnetic resonance imaging…
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation
Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran +7
Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft tissue contrast and lack of ionizing radiatio…
Mechanisms of Calcium Leak from Cardiac Sarcoplasmic Reticulum Revealed by Statistical Mechanics
Anna Maltsev, Michael Stern, Victor Maltsev
Heart muscle contraction is normally activated by a synchronized Ca release from sarcoplasmic reticulum (SR), a major intracellular Ca store. However, under abnormal conditions Ca…
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
Yuankai Huo, Zhoubing Xu, Katherine Aboud +6
Whole brain segmentation on a structural magnetic resonance imaging (MRI) is essential in non-invasive investigation for neuroanatomy. Historically, multi-atlas segmentation (MAS)…
4D Multi-atlas Label Fusion using Longitudinal Images
Yuankai Huo, Susan M. Resnick, Bennett A. Landman
Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have show…
Computer Algorithms for Automated Detection and Analysis of Local Ca2+ Releases in Spontaneously Beating Cardiac Pacemaker Cells
Alexander V. Maltsev, Sean P. Parsons, Mary S. Kim +5
Local Ca Releases (LCRs) are crucial events involved in cardiac pacemaker cell function. However, specific algorithms for automatic LCR detection and analysis have not been develop…
Validation of gait characteristics extracted from raw accelerometry during walking against measures of physical function, mobility, fatigability, and fitness
Jacek K. Urbanek, Vadim Zipunnikov, Tamara Harris +3
Background. Wearable accelerometry devices allow collection of high-density activity data in large epidemiological studies both in-the-lab as well as in-the-wild (free-living). Suc…
Clusters of calcium release channels harness the Ising phase transition to confine their elementary intracellular signals
Anna Maltsev, Victor Maltsev, Michael Stern
Intracellular Ca signals represent a universal mechanism of cell function. Messages carried by Ca are local, rapid, and powerful enough to be delivered over the thermal noise. A hi…
Stride variability measures derived from wrist- and hip-worn accelerometers
Jacek K. Urbanek, Jaroslaw Harezlak, Nancy W. Glynn +3
Many epidemiological and clinical studies use accelerometry to objectively measure physical activity using the activity counts, vector magnitude, or number of steps. These measures…
A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging
Murat Bilgel, Jerry L. Prince, Dean F. Wong +2
It is important to characterize the temporal trajectories of disease-related biomarkers in order to monitor progression and identify potential points of intervention. This is espec…
Movement Prediction Using Accelerometers in a Human Population
Luo Xiao, Bing He, Annemarie Koster +5
We introduce statistical methods for predicting the types of human activity at sub-second resolution using triaxial accelerometry data. The major innovation is that we use labeled…
Automatic morphological classification of galaxy images
Lior Shamir
We describe an image analysis supervised learning algorithm that can automatically classify galaxy images. The algorithm is first trained using a manually classified images of elli…
Frequency Limits on Naked-Eye Optical Transients Lasting from Minutes to Years
Lior Shamir, Robert J. Nemiroff
How often do bright optical transients occur on the sky but go unreported? To constrain the bright end of the astronomical transient function, a systematic search for transients th…