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most citedDeep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data

733 citations

Showing 2018Show all

6 papers · 1 filter

q-bio.NC2018★ 1 cited

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Dmitry Petrov, Boris A. Gutman Egor Kuznetsov, Theo G. M. van Erp +70

We present several deep learning models for assessing the morphometric fidelity of deep grey matter region models extracted from brain MRI. We test three different convolutional ne…

cs.CV2018★ 1 cited

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms

Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov +5

We present a method for metric optimization in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework, by treating the induced Riemannian metric on the space of diffe…

math-ph2018★ 9 cited

Limiting Measure of Lee--Yang Zeros for the Cayley Tree

Ivan Chio, Caleb He, Anthony L. Ji +1

This paper is devoted to an in-depth study of the limiting measure of Lee--Yang zeroes for the Ising Model on the Cayley Tree. We build on previous works of Müller-Hartmann-Zittart…

cs.CV2018★ 13 cited

Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction

Soonam Lee, Chichen Fu, Paul Salama +2

Fluorescence microscopy has become a widely used tool for studying various biological structures of in vivo tissue or cells. However, quantitative analysis of these biological stru…

math-ph2018★ 1 cited

The Maxwell operator with periodic coefficients in a cylinder

N. Filonov, A. Prokhorov

In the paper we consider the Maxwell operator in a three-dimensional cylinder with coefficients periodic along the axis of a cylinder. It is proved that for cylinders with circular…

cs.CV2018★ 76 cited

Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation

Chichen Fu, Soonam Lee, David Joon Ho +4

Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue. Segmentation is a required step to characte…