405 citations
- University of OxfordGB12 papers
- Science OxfordGB3 papers
- AlmegaSE1 paper
- Arctic Research CentreSE1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Tsinghua Chang Gung HospitalCN1 paper
- Boston CollegeUS1 paper
- Boston UniversityUS1 paper
- California Institute of TechnologyUS1 paper
- Cancer Research UKGB1 paper
- Cancer Research UK Manchester InstituteGB1 paper
- Center for NanoScienceDE1 paper
15 papers
Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires
Pranav Mahajan, Mufeng Tang, T. Ed Li +2
Modern robots face challenges shared by humans, where machines must learn multiple sensorimotor skills and express them adaptively. Equipping robots with a human-like memory of how…
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series
Shuhao Mei, Xin Li, Yuxi Zhou +9
Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung condition characterized by airflow obstruction. Current diagnostic methods primarily rely on identifying prominent fe…
GeneFEAST: the pivotal, gene-centric step in functional enrichment analysis interpretation
Avigail Taylor, Valentine M Macaulay, Anand K Maurya +2
Summary: GeneFEAST, implemented in Python, is a gene-centric functional enrichment analysis summarisation and visualisation tool that can be applied to large functional enrichment…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples
Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska +8
Multiplexed immunofluorescence provides an unprecedented opportunity for studying specific cell-to-cell and cell microenvironment interactions. We employ graph neural networks to c…
Bridging scales in a multiscale pattern-forming system
Laeschkir Würthner, Fridtjof Brauns, Grzegorz Pawlik +4
Self-organized pattern formation is vital for many biological processes. Reaction-diffusion models have advanced our understanding of how biological systems develop spatial structu…