71 citations
- The University of MelbourneAU3 papers
- Austin HospitalAU2 papers
- Columbia UniversityUS2 papers
- Florey Institute of Neuroscience and Mental HealthAU2 papers
- Ashford and St Peter's Hospitals NHS Foundation TrustGB1 paper
- Ashford HospitalGB1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Barnes-Jewish HospitalUS1 paper
- German Center for Neurodegenerative DiseasesDE1 paper
- Harvard UniversityUS1 paper
- Harvard University PressUS1 paper
- Helsinki University HospitalFI1 paper
4 papers
A Review of Published Machine Learning Natural Language Processing Applications for Protocolling Radiology Imaging
Nihal Raju, Michael Woodburn, Stefan Kachel +4
Machine learning (ML) is a subfield of Artificial intelligence (AI), and its applications in radiology are growing at an ever-accelerating rate. The most studied ML application is…
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
Ruth P Lim, Stefan Kachel, Adriana DM Villa +5
Objectives: To develop an image-based automatic deep learning method to classify cardiac MR images by sequence type and imaging plane for improved clinical post-processing efficien…
Brain volume: An important determinant of functional outcome after acute ischemic stroke
Markus D. Schirmer, Kathleen L. Donahue, Marco J. Nardin +38
Objective: To determine whether brain volume is associated with functional outcome after acute ischemic stroke (AIS). Methods: We analyzed cross-sectional data of the multi-site, i…
Range entropy: A bridge between signal complexity and self-similarity
Amir Omidvarnia, Mostefa Mesbah, Mangor Pedersen +1
Approximate entropy (ApEn) and sample entropy (SampEn) are widely used for temporal complexity analysis of real-world phenomena. However, their relationship with the Hurst exponent…