419 citations · 645 across the 19 of their papers we have counts for
9 papers · 1 filter
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
Muhammad Ahtazaz Ahsan, Adnan Qayyum, Junaid Qadir +1
In recent years, deep learning (DL) techniques have provided state-of-the-art performance on different medical imaging tasks. However, the availability of good quality annotated me…
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
Khansa Rasheed, Junaid Qadir, Terence J. O'Brien +2
Prediction of seizure before they occur is vital for bringing normalcy to the lives of patients. Researchers employed machine learning methods using hand-crafted features for seizu…
Dynamic causal modelling of mitigated epidemiological outcomes
Karl J. Friston, Guillaume Flandin, Adeel Razi
This technical report describes the rationale and technical details for the dynamic causal modelling of mitigated epidemiological outcomes based upon a variety of timeseries data.…
Parcels and particles: Markov blankets in the brain
Karl J. Friston, Erik D. Fagerholm, Tahereh S. Zarghami +4
At the inception of human brain mapping, two principles of functional anatomy underwrote most conceptions - and analyses - of distributed brain responses: namely functional segrega…
Effective immunity and second waves: a dynamic causal modelling study
Karl J. Friston, Thomas Parr, Peter Zeidman +11
This technical report addresses a pressing issue in the trajectory of the coronavirus outbreak; namely, the rate at which effective immunity is lost following the first wave of the…
Tracking and tracing in the UK: a dynamic causal modelling study
Karl J. Friston, Thomas Parr, Peter Zeidman +9
By equipping a previously reported dynamic causal model of COVID-19 with an isolation state, we modelled the effects of self-isolation consequent on tracking and tracing. Specifica…