60 citations · 215 across the 13 of their papers we have counts for
5 papers · 1 filter
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning
Marcel Bengs, Satish Pant, Michael Bockmayr +2
Medulloblastoma (MB) is a primary central nervous system tumor and the most common malignant brain cancer among children. Neuropathologists perform microscopic inspection of histop…
Multiscale modelling of reversed Potts shunt as a potential palliative treatment for suprasystemic idiopathic pulmonary artery hypertension in children
Sanjay Pant, Aleksander Sizarov, Angela Knepper1 +4
Reversed Potts shunt (PS) was suggested as palliation for patients with suprasystemic pulmonary arterial hypertension (PAH) and right ventricular (RV) failure. PS, however, can res…
Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database
Gareth Jones, Jim Parr, Perumal Nithiarasu +1
This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of arterial…
A physiologically realistic virtual patient database for the study of arterial haemodynamics
Gareth Jones, Jim Parr, Perumal Nithiarasu +1
This study creates a physiologically realistic virtual patient database (VPD), representing the human arterial system, for the primary purpose of studying the affects of arterial d…
A proof of concept study for machine learning application to stenosis detection
Gareth Jones, Jim Parr, Perumal Nithiarasu +1
This proof of concept (PoC) assesses the ability of machine learning (ML) classifiers to predict the presence of a stenosis in a three vessel arterial system consisting of the abdo…