output
20172023
most citedGeneralised Dice overlap as a deep learning loss function for highly unbalanced segmentations

2.7k citations

12 papers

stat.AP20238 cited

A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living with Dementia

Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Kolanko +5

Malnutrition and dehydration are strongly associated with increased cognitive and functional decline in people living with dementia (PLWD), as well as an increased rate of hospital…

eess.IV20211 cited

The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties

Pedro Borges, Richard Shaw, Thomas Varsavsky +5

Being able to adequately process and combine data arising from different sites is crucial in neuroimaging, but is difficult, owing to site, sequence and acquisition-parameter depen…

eess.SY202135 cited

Embedding digital chronotherapy into medical devices -- A canine validation for controlling status epilepticus through multi-scale rhythmic brain stimulation

Mayela Zamora, Sebastian Meller, Filip Kajin +10

Circadian and other physiological rhythms play a key role in both normal homeostasis and disease processes. Such is the case of circadian and infradian seizure patterns observed in…

q-fin.ST2021652 cited

Mapping the NFT revolution: market trends, trade networks and visual features

Matthieu Nadini, Laura Alessandretti, Flavio Di Giacinto +3

Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items. They are traded online, often with cryptocurrency, and are generally…

cond-mat.mtrl-sci202112 cited

Hermetic chip-scale packaging using Au:Sn eutectic bonding for implantable devices

Katarzyna M. Szostak, Meysam Keshavarz, Timothy G. Constandinou

Advancements in miniaturisation and new capabilities of implantable devices impose a need for the development of compact, hermetic, and CMOS-compatible micro packaging methods. Gol…

physics.med-ph202017 cited

Physics-informed brain MRI segmentation

Pedro Borges, Carole Sudre, Thomas Varsavsky +4

Magnetic Resonance Imaging (MRI) is one of the most flexible and powerful medical imaging modalities. This flexibility does however come at a cost; MRI images acquired at different…