output
20112026
most citedDeriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

742 citations

Showing 2019Show all

6 papers · 1 filter

cs.LG2019★ 35 cited

Variationally Regularized Graph-based Representation Learning for Electronic Health Records

Weicheng Zhu, Narges Razavian

Electronic Health Records (EHR) are high-dimensional data with implicit connections among thousands of medical concepts. These connections, for instance, the co-occurrence of disea…

eess.IV2019★ 12 cited

On the design of convolutional neural networks for automatic detection of Alzheimer's disease

Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda +1

Early detection is a crucial goal in the study of Alzheimer's Disease (AD). In this work, we describe several techniques to boost the performance of 3D deep convolutional neural ne…

stat.ME2019★ 243 cited

Semantic and Cognitive Tools to Aid Statistical Science: Replace Confidence and Significance by Compatibility and Surprise

Zad Rafi, Sander Greenland

Researchers often misinterpret and misrepresent statistical outputs. This abuse has led to a large literature on modification or replacement of testing thresholds and -values wi…

cs.LG2019★ 1 cited

A Neural Network for Semi-Supervised Learning on Manifolds

Alexander Genkin, Anirvan M. Sengupta, Dmitri Chklovskii

Semi-supervised learning algorithms typically construct a weighted graph of data points to represent a manifold. However, an explicit graph representation is problematic for neural…

cs.GR2019

Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries

Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Alice Chu +3

The brachial plexus is a complex network of peripheral nerves that enables sensing from and control of the movements of the arms and hand. Nowadays, the coordination between the mu…

eess.SP2019★ 37 cited

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction

Florian Knoll, Kerstin Hammernik, Chi Zhang +4

Following the success of deep learning in a wide range of applications, neural network-based machine learning techniques have received interest as a means of accelerating magnetic…