119 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of EdinburghGB7 papers
- Institute of Genetics and CancerGB2 papers
- MRC Human Genetics Unit2 papers
- Aarhus University HospitalDK1 paper
- Ain Shams University HospitalEG1 paper
- Assistance Publique – Hôpitaux de ParisFR1 paper
- Belfast Health and Social Care TrustGB1 paper
- Birkbeck, University of LondonGB1 paper
- Boston Children's HospitalUS1 paper
- Brigham and Women's HospitalUS1 paper
- Brooke Army Medical CenterUS1 paper
- Cairo University hospitalsEG1 paper
7 papers
KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation
L Cif, D Demailly, JP Lin +112
Heterozygous mutations in KMT2B are associated with an early-onset, progressive, and often complex dystonia (DYT28). Key characteristics of typical disease include focal motor feat…
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
Heyi Li, Dongdong Chen, William H. Nailon +2
Computer-aided breast cancer diagnosis in mammography is limited by inadequate data and the similarity between benign and cancerous masses. To address this, we propose a signed gra…
Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion
Jonathan H. Mason, Alessandro Perelli, William H. Nailon +1
Scatter can account for large errors in cone-beam CT (CBCT) due to its wide field of view, and its complicated nature makes its compensation difficult. Iterative polyenergetic reco…
Polyquant CT: direct electron and mass density reconstruction from a single polyenergetic source
Jonathan H. Mason, Alessandro Perelli, William H. Nailon +1
Quantifying material mass and electron density from computed tomography (CT) reconstructions can be highly valuable in certain medical practices, such as radiation therapy planning…
A multi-stage representation of cell proliferation as a Markov process
Christian A Yates, Matthew J Ford, Richard L Mort
The stochastic simulation algorithm commonly known as Gillespie's algorithm is now used ubiquitously in the modelling of biological processes in which stochastic effects play an im…
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?
Jonathan Mason, Alessandro Perelli, William Nailon +1
Due to its wide field of view, cone-beam computed tomography (CBCT) is plagued by large amounts of scatter, where attenuated photons hit the detector, and corrupt the linear models…
A Single Nucleotide Resolution Model for Large-Scale Simulations of Double Stranded DNA
Y. A. G. Fosado, D. Michieletto, J. Allan +3
The computational modelling of DNA is becoming crucial in light of new advances in DNA nanotechnology, single-molecule experiments and in vivo DNA tampering. Here we present a meso…