output
20132026
most citedRemote patient monitoring using artificial intelligence: Current state, applications, and challenges

498 citations

14 papers

physics.ed-ph2026

Diversity, Equity and Inclusivity in the Australian and New Zealand Medical Physics Workforce

Emily Simpson-Page, Megan Anderson, Scott B. Crowe +4

The consideration of diversity, equity and inclusivity (DEI) is an important part of promoting a robust and respectful workforce, and is critical to the continued success of organi…

physics.med-ph2026

Generation of synthetic CT images from optical scanning for superficial mold brachytherapy

Scott B. Crowe, Emily Simpson-Page, Jenna Luscombe +2

Optical 3D scanning systems allow the acquisition of accurate models of patient anatomy, suitable for use in the design of simple 3D-printable patient-matched medical devices with…

physics.med-ph2026

Magnetic resonance imaging assessment of the suitability and consistency of radiotherapy treatment positioning achieved using intra-oral stents

Tanya Kairn, Philip Chan, Benjamin Chua +7

As head-and-neck radiotherapy treatments grow more complex and precise, it becomes increasingly important to assess the anatomical separations that can be achieved using intra-oral…

physics.med-ph2026

Patient-specific immobilisation for radiotherapy treatment of extensive lower-limb carcinoma

Tanya Kairn, Tania Poroa, Jenna Luscombe +3

When non-melanoma skin cancers extend over large areas of skin, effective radiotherapy treatments can be delivered using volumetric modulated arc therapy (VMAT) beams with narrow s…

physics.med-ph2026

Adapting a 3D scanning water phantom for use in brachytherapy dosimetry

Rachael Wilks, Samuel C. Peet, Tanya Kairn +1

In external beam radiotherapy, 3D scanning water phantoms are the gold standard for obtaining relative dosimetry data. These phantoms, consisting of a water tank and mechanical arm…

cs.LG2023★ 11 cited

Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion

Thanveer Shaik, Xiaohui Tao, Lin Li +4

Federated Learning (FL) is currently one of the most popular technologies in the field of Artificial Intelligence (AI) due to its collaborative learning and ability to preserve cli…

cs.CY2023★ 498 cited

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

Thanveer Shaik, Xiaohui Tao, Niall Higgins +4

The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to m…

cs.LG2022★ 67 cited

FedStack: Personalized activity monitoring using stacked federated learning

Thanveer Shaik, Xiaohui Tao, Niall Higgins +4

Recent advances in remote patient monitoring (RPM) systems can recognize various human activities to measure vital signs, including subtle motions from superficial vessels. There i…

stat.ME2020★ 2 cited

A Framework for Mediation Analysis with Multiple Exposures, Multivariate Mediators, and Non-Linear Response Models

James P. Long, Ehsan Irajizad, James D. Doecke +2

Mediation analysis seeks to identify and quantify the paths by which an exposure affects an outcome. Intermediate variables which are effected by the exposure and which effect the…

cs.CL2018★ 12 cited

Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals

Hamed Hassanzadeh, Mahnoosh Kholghi, Anthony Nguyen +1

Reviewing radiology reports in emergency departments is an essential but laborious task. Timely follow-up of patients with abnormal cases in their radiology reports may dramaticall…

cs.HC2017★ 70 cited

Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface

Dalin Zhang, Lina Yao, Xiang Zhang +3

Brain-Computer Interface (BCI) is a system empowering humans to communicate with or control the outside world with exclusively brain intentions. Electroencephalography (EEG) based…

q-bio.QM2016

Quantification of free-living activity patterns using accelerometry in adults with mental illness

Justin J. Chapman, James A. Roberts, Vinh T. Nguyen +1

Physical activity is disrupted in many psychiatric disorders. Advances in everyday technologies (e.g. accelerometers in smart phones) opens exciting possibilities for non-intrusive…

q-bio.NC2014★ 93 cited

The frustrated brain: From dynamics on motifs to communities and networks

Leonardo L. Gollo, Michael Breakspear

Cognitive function depends on an adaptive balance between flexible dynamics and integrative processes in distributed cortical networks. Patterns of zero-lag synchrony likely underp…

q-bio.NC2013★ 166 cited

Mechanisms of Zero-Lag Synchronization in Cortical Motifs

Leonardo L. Gollo, Claudio Mirasso, Olaf Sporns +1

Zero-lag synchronization between distant cortical areas has been observed in a diversity of experimental data sets and between many different regions of the brain. Several computat…