339 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of BristolGB4 papers
- University of TorontoCA3 papers
- Aichi Medical UniversityJP2 papers
- Bostwick LaboratoriesUS2 papers
- Cleveland ClinicUS2 papers
- Indiana University School of Medicine2 papers
- Jikei University School of MedicineJP2 papers
- Karolinska InstitutetSE2 papers
- Medical College of WisconsinUS2 papers
- North Bristol NHS TrustGB2 papers
- Queen Mary University of LondonGB2 papers
- Royal Prince Alfred HospitalAU2 papers
7 papers
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
Ferdian Jovan, Catherine Morgan, Ryan McConville +3
Parkinson's disease (PD) is a slowly progressive, debilitating neurodegenerative disease which causes motor symptoms including gait dysfunction. Motor fluctuations are alterations…
TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction
Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi
Acute ischaemic stroke, caused by an interruption in blood flow to brain tissue, is a leading cause of disability and mortality worldwide. The selection of patients for the most op…
Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson's Severity Assessment
Amirhossein Dadashzadeh, Alan Whone, Michal Rolinski +1
Evaluating neurological disorders such as Parkinson's disease (PD) is a challenging task that requires the assessment of several motor and non-motor functions. In this paper, we pr…
Prediction of Thrombectomy Functional Outcomes using Multimodal Data
Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi
Recent randomised clinical trials have shown that patients with ischaemic stroke {due to occlusion of a large intracranial blood vessel} benefit from endovascular thrombectomy. How…
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17
While the Gleason score is the most important prognostic marker for prostate cancer patients, it suffers from significant observer variability. Artificial Intelligence (AI) systems…
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence
Peter Ström, Kimmo Kartasalo, Henrik Olsson +29
Background: An increasing volume of prostate biopsies and a world-wide shortage of uro-pathologists puts a strain on pathology departments. Additionally, the high intra- and inter-…
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer +4
Planning has been very successful for control tasks with known environment dynamics. To leverage planning in unknown environments, the agent needs to learn the dynamics from intera…