F. Salzenstein

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

3D Slicer as an image computing platform for the Quantitative Imaging Network

Radiomics: the process and the challenges

Standards for PET Image Acquisition and Quantitative Data Analysis

Artificial intelligence in radiology

Radiomics: the bridge between medical imaging and personalized medicine

Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics

Imprecise reliability by evidential networks

Hidden semi-Markov models

Image Analysis and Computer Vision: 1995

Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas

Novel feature representation using single frequency filtering and nonlinear energy operator for speech emotion recognition

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies

Remaining useful life estimation – A review on the statistical data driven approaches

Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures

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

Evidential Networks for Reliability Analysis and Performance Evaluation of Systems With Imprecise Knowledge

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster–Shafer theory

Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network

Fuzzy hidden Markov chains segmentation for volume determination and quantitation in PET

Generalized higher-order nonlinear energy operators

Non-stationary fuzzy Markov chain

Parameter Estimation in Hidden Fuzzy Markov Random Fields and Image Segmentation

Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions