174 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of MelbourneAU4 papers
- UNSW SydneyAU4 papers
- Australian Centre for Robotic VisionAU2 papers
- St Vincents Institute of Medical ResearchAU2 papers
- The University of AdelaideAU2 papers
- Victor Chang Cardiac Research InstituteAU2 papers
- Academy of Scientific and Innovative ResearchIN1 paper
- Agostino Gemelli University PolyclinicIT1 paper
- Amsterdam University Medical CentersNL1 paper
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU1 paper
- Australian College of OptometryAU1 paper
- CambiaAU1 paper
12 papers
TrackRAD2025 challenge dataset: Real-time tumor tracking for MRI-guided radiotherapy
Yiling Wang, Elia Lombardo, Adrian Thummerer +25
Purpose: Magnetic resonance imaging (MRI) to visualize anatomical motion is becoming increasingly important when treating cancer patients with radiotherapy. Hybrid MRI-linear accel…
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Chong Wang, Fengbei Liu, Yuanhong Chen +2
Recent advances in prototypical learning have shown remarkable potential to provide useful decision interpretations associating activation maps and predictions with class-specific…
Miniature fluorescence sensor for quantitative detection of brain tumour
Jean Pierre Ndabakuranye, James Belcourt, Deepak Sharma +7
Fluorescence-guided surgery has emerged as a vital tool for tumour resection procedures. As well as intraoperative tumour visualisation, 5-ALA-induced PpIX provides an avenue for q…
Towards Developing Brain-Computer Interfaces for People with Multiple Sclerosis
John S. Russo, Tim Mahoney, Kirill Kokorin +4
Multiple Sclerosis (MS) is a severely disabling condition that leads to various neurological symptoms. A Brain-Computer Interface (BCI) may substitute some lost function; however,…
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure
Masoud Fetanat, Michael Stevens, Pankaj Jain +3
Heart failure (HF) is one of the most prevalent life-threatening cardiovascular diseases in which 6.5 million people are suffering in the USA and more than 23 million worldwide. Me…
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
Chong Wang, Yuanhong Chen, Yuyuan Liu +6
State-of-the-art (SOTA) deep learning mammogram classifiers, trained with weakly-labelled images, often rely on global models that produce predictions with limited interpretability…
A Sensorless Control System for an Implantable Heart Pump using a Real-time Deep Convolutional Neural Network
Masoud Fetanat, Michael Stevens, Christopher Hayward +1
Left ventricular assist devices (LVADs) are mechanical pumps, which can be used to support heart failure (HF) patients as bridge to transplant and destination therapy. To automatic…
Interfacial Piezoelectric Polarization Locking in Printable TiCT MXene-Fluoropolymer Composites
Nick A. Shepelin, Peter C. Sherrell, Emmanuel N. Skountzos +9
Piezoelectric fluoropolymers convert mechanical energy to electricity and are ideal for sustainably providing power to electronic devices. To convert mechanical energy, a net polar…
A Physiological Control System for an Implantable Heart Pump that Accommodates for Interpatient and Intrapatient Variations
Masoud Fetanat, Michael Stevens, Christopher Hayward +1
Left ventricular assist devices (LVADs) can provide mechanical support for a failing heart as bridge to transplant and destination therapy. Physiological control systems for LVADs…
Consequences of Dale's law on the stability-complexity relationship of random neural networks
J. R. Ipsen, A. D. H. Peterson
In the study of randomly connected neural network dynamics there is a phase transition from a `simple' state with few equilibria to a `complex' state characterised by the number of…
Personalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
Ricardo Garcia-Rosas, Ying Tan, Denny Oetomo +2
Synergies have been adopted in prosthetic limb applications to reduce complexity of design, but typically involve a single synergy setting for a population and ignore individual pr…
A homotopic mapping between current-based and conductance-based synapses in a mesoscopic neural model of epilepsy
Andre D. H. Peterson, Hamish Meffin, Mark J. Cook +3
Changes in brain states, as found in many neurological diseases such as epilepsy, are often described as bifurcations in mesoscopic neural models. Nearly all of these models rely o…