26 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Monash UniversityAU3 papers
- Japan Synchrotron Radiation Research InstituteJP2 papers
- ARC Centre of Excellence in Advanced Molecular ImagingAU1 paper
- Australian Nuclear Science and Technology OrganisationAU1 paper
- Australian SynchrotronAU1 paper
- École de Technologie SupérieureCA1 paper
- Emory UniversityUS1 paper
- Guilin University of Electronic TechnologyCN1 paper
- McGill UniversityCA1 paper
- Montreal Neurological Institute and HospitalCA1 paper
- SPring-8JP1 paper
- The University of MelbourneAU1 paper
4 papers
FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep Stage Classification
Weitao Tang, Johann Vargas-Calixto, Nasim Katebi +5
Introduction: This study presents FetalSleepNet, the first published deep learning approach to classifying sleep states from the ovine electroencephalogram (EEG). Fetal EEG is comp…
Deep radiomic signature with immune cell markers predicts the survival of glioma patients
Ahmad Chaddad, Paul Daniel Mingli Zhang, Saima Rathore +3
Imaging biomarkers offer a non-invasive way to predict the response of immunotherapy prior to treatment. In this work, we propose a novel type of deep radiomic features (DRFs) comp…
Full field X-ray Scatter Tomography
Gary Ruben, Isaac Pinar, Jeremy M. C. Brown +8
In X-ray imaging, photons are transmitted through and absorbed by the subject, but are also scattered in significant quantities. Previous attempts to use scattered photons for biol…
CT dose reduction factors in the thousands using X-ray phase contrast
Marcus J. Kitchen, Genevieve A. Buckley, Timur E. Gureyev +6
Phase-contrast X-ray imaging can improve the visibility of weakly absorbing objects (e.g. soft tissues) by an order of magnitude or more compared to conventional radiographs. Previ…