output
19982025
most citedRandomness enhances cooperation: a resonance type phenomenon in evolutionary games

176 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020Show all

7 papers · 1 filter

cs.LG2020★ 1 cited

Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data

Alan D. Kaplan, Qi Cheng, K. Aditya Mohan +12

Prognoses of Traumatic Brain Injury (TBI) outcomes are neither easily nor accurately determined from clinical indicators. This is due in part to the heterogeneity of damage inflict…

physics.med-ph2020★ 4 cited

Reducing the Dimensionality of Optimal Experiment Design for Magnetic Resonance Fingerprinting

Nikolai J. Mickevicius, Andrew S. Nencka, Eric S. Paulson

Nuclear magnetic resonance signal dynamics as described by the Bloch equations are highly complex and often are without closed form solutions. This is especially the case for quant…

nucl-th2020★ 4 cited

Isoscalar and isovector giant resonances in 44Ca, 54Fe, 64,68Zn and 56,58,60,68Ni

G. Bonasera, S. Shlomo, D. H. Youngblood +3

We have studied the uncharacteristic behavior of the measured values of the isoscalar and isovector centroid energies, ECEN, of giant resonances with multipolarity L=0-3 in 44Ca, 5…

eess.IV2020★ 1 cited

Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping

Juan Liu, Kevin M Koch

Quantitative susceptibility mapping (QSM) utilizes MRI phase information to estimate tissue magnetic susceptibility. The generation of QSM requires solving ill-posed background fie…

physics.med-ph2020★ 5 cited

Optimization of hyperparameters for SMS reconstruction

L. Tugan Muftuler, Volkan Emre Arpinar, Kevin Koch +5

Simultaneous multi-slice (SMS) imaging accelerates MRI data acquisition by exciting multiple image slices simultaneously. Overlapping slices are then separated using a mathematical…

physics.med-ph2020★ 1 cited

Model-based Learning for Quantitative Susceptibility Mapping

Juan Liu, Kevin M. Koch

Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique that estimates magnetic susceptibility of tissue from Larmor frequency offset measurements…

eess.IV2020★ 173 cited

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17

While the Gleason score is the most important prognostic marker for prostate cancer patients, it suffers from significant observer variability. Artificial Intelligence (AI) systems…