Anke Meyer‐Baese

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

The organization of the human cerebral cortex estimated by intrinsic functional connectivity

A fuzzy clustering neural network architecture for classification of ECG arrhythmias

Knowledge and intelligent computing system in medicine

Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

A survey of MRI-based medical image analysis for brain tumor studies

Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Role of the Axonal Initial Segment in Psychiatric Disorders: Function, Dysfunction, and Intervention

Formal Design Methods for Reliable Computer-Aided Diagnosis: A Review

Multi-level bootstrap analysis of stable clusters in resting-state fMRI

Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system

An unsupervised machine learning model for discovering latent infectious diseases using social media data

Unsupervised analysis of fMRI data using kernel canonical correlation

The Fibroblast Growth Factor signaling pathway

Image Analysis and Computer Vision: 1995

The chronoarchitecture of the cerebral cortex

Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines

Predicting Human Brain Activity Associated with the Meanings of Nouns

Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy

Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer

Transforming business using digital innovations: the application of AI, blockchain, cloud and data analytics

A Survey on the Edge Computing for the Internet of Things

Artificial intelligence in cancer imaging: Clinical challenges and applications

Medical image analysis: progress over two decades and the challenges ahead

Real-time motion estimation for image and video processing applications

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation

Applications of machine learning to machine fault diagnosis: A review and roadmap

Multispectral brain tumor segmentation based on histogram model adaptation

The organization of the human cerebellum estimated by intrinsic functional connectivity

Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI

Fully automated biomedical image segmentation by self-organized model adaptation

Integrative Biological Analysis For Neuropsychopharmacology

Model-free functional MRI analysis based on unsupervised clustering

Comparison of Two Exploratory Data Analysis Methods for fMRI: Unsupervised Clustering Versus Independent Component Analysis

Analysis of Dynamic Susceptibility Contrast MRI Time Series Based on Unsupervised Clustering Methods

Classification of Small Contrast Enhancing Breast Lesions in Dynamic Magnetic Resonance Imaging Using a Combination of Morphological Criteria and Dynamic Analysis Based on Unsupervised Vector-Quantization

Model-free functional MRI analysis based on unsupervised clustering.

Code obfuscation using very long identifiers for FFT motion estimation models in embedded processors

Neural network-based EKG pattern recognition

Multiscale segmentation through a radial basis neural network