2.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College LondonGB16 papers
- Imperial College LondonGB11 papers
- University of EdinburghGB6 papers
- King's College LondonGB4 papers
- University of OxfordGB4 papers
- University of SurreyGB3 papers
- Amsterdam UMC Location Vrije Universiteit AmsterdamNL2 papers
- Brigham and Women's HospitalUS2 papers
- City, University of LondonGB2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Georgia Institute of TechnologyUS2 papers
- Harvard UniversityUS2 papers
33 papers
Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI
Jesse Phitidis, Alison Q. Smithard, William N. Whiteley +3
White matter hyperintensities (WMH) and ischaemic stroke lesions (ISL) are key imaging biomarkers of cerebral small vessel disease (SVD) detectable on magnetic resonance imaging (M…
Calibrated Self-supervised Vision Transformers Improve Intracranial Arterial Calcification Segmentation from Clinical CT Head Scans
Benjamin Jin, Grant Mair, Joanna M. Wardlaw +1
Vision Transformers (ViTs) have gained significant popularity in the natural image domain but have been less successful in 3D medical image segmentation. Nevertheless, 3D ViTs are…
Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classification
Marcell T. Kurbucz, Balázs Hajós, Balázs P. Halmos +2
Time series classification (TSC) is fundamental in numerous domains, including finance, healthcare, and environmental monitoring. However, traditional TSC methods often struggle wi…
Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment
Maria R. Lima, Alexander Capstick, Fatemeh Geranmayeh +4
Timely and accurate assessment of cognitive impairment remains a major unmet need. Speech biomarkers offer a scalable, non-invasive, cost-effective solution for automated screening…
Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis
Jesse Phitidis, Alison Q. O'Neil, William N. Whiteley +4
Cerebrovascular diseases (CVD) can lead to stroke and dementia. Stroke is the second leading cause of death world wide and dementia incidence is increasing by the year. There are s…
A personalized time-resolved 3D mesh generative model for unveiling normal heart dynamics
Mengyun Qiao, Kathryn A McGurk, Shuo Wang +3
Understanding the structure and motion of the heart is crucial for diagnosing and managing cardiovascular diseases, the leading cause of global death. There is wide variation in ca…
Pre-processing and quality control of large clinical CT head datasets for intracranial arterial calcification segmentation
Benjamin Jin, Maria del C. Valdés Hernández, Alessandro Fontanella +6
As a potential non-invasive biomarker for ischaemic stroke, intracranial arterial calcification (IAC) could be used for stroke risk assessment on CT head scans routinely acquired f…
Noise propagation and MP-PCA image denoising for high-resolution quantitative T2* and magnetic susceptibility mapping (QSM)
Liad Doniza, Mitchel Lee, Tamar Blumenfeld Katzir +5
Quantitative Susceptibility Mapping (QSM) is a technique for measuring magnetic susceptibility of tissues, aiding in the detection of pathologies like traumatic brain injury and mu…
PhenoLinker: Phenotype-Gene Link Prediction and Explanation using Heterogeneous Graph Neural Networks
Jose L. Mellina Andreu, Luis Bernal, Antonio F. Skarmeta +4
The association of a given human phenotype to a genetic variant remains a critical challenge for biology. We present a novel system called PhenoLinker capable of associating a scor…
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
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…
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi +9
The human thalamus is a highly connected subcortical grey-matter structure within the brain. It comprises dozens of nuclei with different function and connectivity, which are affec…
Focal and Connectomic Mapping of Transiently Disrupted Brain Function
Michael S. Elmalem, Hanna Moody, James K. Ruffle +5
The distributed nature of the neural substrate, and the difficulty of establishing necessity from correlative data, combine to render the mapping of brain function a far harder tas…
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…
Emergence and structure of decentralised trade networks around dark web marketplaces
Matthieu Nadini, Alberto Bracci, Abeer ElBahrawy +3
Dark web marketplaces (DWMs) are online platforms that facilitate illicit trade among millions of users generating billions of dollars in annual revenue. Recently, two interview-ba…
A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors
Maitreyee Wairagkar, Emma Villeneuve, Rachel King +7
Sit-to-stand transitions are an important part of activities of daily living and play a key role in functional mobility in humans. The sit-to-stand movement is often affected in ol…
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…
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…
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…
Verifying the Causes of Adversarial Examples
Honglin Li, Yifei Fan, Frieder Ganz +2
The robustness of neural networks is challenged by adversarial examples that contain almost imperceptible perturbations to inputs, which mislead a classifier to incorrect outputs i…
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
Reuben Dorent, Thomas Booth, Wenqi Li +5
Brain tissue segmentation from multimodal MRI is a key building block of many neuroimaging analysis pipelines. Established tissue segmentation approaches have, however, not been de…
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…
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +8
The TADPOLE Challenge compares the performance of algorithms at predicting the future evolution of individuals at risk of Alzheimer's disease. TADPOLE Challenge participants train…
A planar Airy beam light-sheet for two-photon microscopy
Neveen A. Hosny, James A. Seyforth, Gunnar Spickermann +10
We demonstrate the first planar Airy light-sheet microscope. Fluorescence light-sheet microscopy has become the method of choice to study large biological samples with cellular or…