733 citations · 1k across the 13 of their papers we have counts for
13 papers
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
Raphael Ronge, Kwangsik Nho, Christian Wachinger +1
The current state-of-the-art deep neural networks (DNNs) for Alzheimer's Disease diagnosis use different biomarker combinations to classify patients, but do not allow extracting kn…
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data
Taeho Jo, Kwangsik Nho, Andrew J. Saykin
Deep learning has shown outstanding performance in identifying intricate structures in complex high-dimensional data, especially in the domain of computer vision. The application o…
Finite-temperature properties of quasi-2D Bose-Einstein condensates
Kwangsik Nho, D. P. Landau
Using the finite-temperature path integral Monte Carlo method, we investigate dilute, trapped Bose gases in a quasi-two dimensional geometry. The quantum particles have short-range…
Bose-Einstein condensation of trapped atoms with dipole interactions
Kwangsik Nho, D. P. Landau
The path integral Monte Carlo method is used to simulate dilute trapped Bose gases and to investigate the equilibrium properties at finite temperatures. The quantum particles have…
Scaling of the thermal resistivity of He in restricted geometries
Chongshan Zhang, Kwangsik Nho, D. P. Landau
The thermal resistivity and its scaling function in quasi-2D He systems are studied by Monte Carlo and spin-dynamics simulation. We use the classical 3D XY model on $L\times L\…
Microscopic Superfluidity in Bose Gases: From 3D to 1D
K. Nho, D. Blume
The superfluid fraction of ideal and interacting inhomogeneous Bose gases with varying asymmetry is investigated at finite temperature using well-known properties of the harmonic o…