469 citations
- The University of AdelaideAU2 papers
- University of Technology SydneyAU2 papers
- UNSW SydneyAU2 papers
- Australian Centre for Robotic VisionAU1 paper
- Australian Institute of Nuclear Science and EngineeringAU1 paper
- Australian Institute of Policy and ScienceAU1 paper
- Beijing University of TechnologyCN1 paper
- Broad InstituteUS1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Center for Systems Biology DresdenDE1 paper
- Centre Inria de SaclayFR1 paper
- Consejo Nacional de Investigaciones Científicas y TécnicasAR1 paper
7 papers
TactDeform: Finger Pad Deformation Inspired Spatial Tactile Feedback for Virtual Geometry Exploration
Yihao Dong, Praneeth Bimsara Perera, Chin-Teng Lin +2
Spatial tactile feedback can enhance the realism of geometry exploration in virtual reality applications. Current vibrotactile approaches often face challenges with the spatial and…
Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation
Yanyan Wang, Kechen Song, Yuyuan Liu +3
Semi-supervised 3D medical image segmentation aims to achieve accurate segmentation using few labelled data and numerous unlabelled data. The main challenge in the design of semi-s…
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection
Junfei Yi, Jianxu Mao, Tengfei Liu +5
Knowledge distillation (KD) is a widely adopted and effective method for compressing models in object detection tasks. Particularly, feature-based distillation methods have shown r…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
Mutual information neural estimation for unsupervised multi-modal registration of brain images
Gerard Snaauw, Michele Sasdelli, Gabriel Maicas +4
Many applications in image-guided surgery and therapy require fast and reliable non-linear, multi-modal image registration. Recently proposed unsupervised deep learning-based regis…
MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
Xueping Peng, Guodong Long, Tao Shen +4
Representation learning on electronic health records (EHRs) plays a vital role in downstream medical prediction tasks. Although natural language processing techniques, such as recu…