34 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College LondonGB5 papers
- Norwegian University of Science and TechnologyNO3 papers
- University College HospitalGB2 papers
- University of Southern DenmarkDK2 papers
- Addis Ababa UniversityET1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Birla Institute of Technology and Science, PilaniIN1 paper
- Boston Children's HospitalUS1 paper
- Canon (Japan)JP1 paper
- Centre d'Imagerie BioMedicaleCH1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- DKFZ-ZMBH AllianceDE1 paper
11 papers
Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data
Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij +3
Disease progression modeling provides a robust framework to identify long-term disease trajectories from short-term biomarker data. It is a valuable tool to gain a deeper understan…
Modeling a Smooth Surface by a Constrained Biharmonic Equation with Application in Soil Science
Samson Seifu Bekele, Maregnesh Mechal Wolde, Claus Führer +2
This paper presents a method for mathematical modelling of surfaces conditioned on empirical data. It is based on solving a discrete biharmonic equation over a domain with given in…
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67
Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…
Dynamic laboratory X-ray phase-contrast microtomography with structure-based prior regularisation
Harry Allan, Tom Partridge, Joseph Jacob +1
X-ray microtomography is a versatile tool allowing the measurement of the 3D structure of optically thick samples. As a non-destructive technique, it is readily adapted to 4D imagi…
Resolving quantitative MRI model degeneracy in self-supervised machine learning
Giulio V. Minore, Louis Dwyer-Hemmings, Timothy J. P. Bray +1
Quantitative MRI (qMRI) estimates tissue properties of interest from measured MRI signals. This process is conventionally achieved by model fitting, whose computational expense lim…
Transformer based time series prediction of the maximum power point for solar photovoltaic cells
Palaash Agrawal, Hari Om Bansal, Aditya R. Gautam +2
This paper proposes an improved deep learning based maximum power point tracking (MPPT) in solar photovoltaic cells considering various time series based environmental inputs. Gene…
RAIDER: Rapid, anatomy-independent, deep learning-based PDFF and R2* estimation using magnitude-only signals
T. J. P. Bray, G. V. Minore, A. Bainbridge +4
There has been recent interest in the use of magnitude-based fitting methods for estimating proton density fat fraction (PDFF) and R2* from chemical shift-encoded MRI (CSE-MRI) dat…
B-series for SDEs with application to exponential integrators for non-autonomous semi-linear problems
Alemayehu Adugna Arara, Kristian Debrabant, Anne Kværnø
In this paper a set of previous general results for the development of B--series for a broad class of stochastic differential equations has been collected. The applicability of the…
Manually Annotated Spelling Error Corpus for Amharic
Andargachew Mekonnen Gezmu, Tirufat Tesifaye Lema, Binyam Ephrem Seyoum +1
This paper presents a manually annotated spelling error corpus for Amharic, lingua franca in Ethiopia. The corpus is designed to be used for the evaluation of spelling error detect…
The conjugacy growth of the soluble Baumslag-Solitar groups
Laura Ciobanu, Alex Evetts, Meng-Che "Turbo" Ho
In this paper we give asymptotics for the conjugacy growth of the soluble Baumslag-Solitar groups , , with respect to the standard generating set, by providing a…
Stochastic B-series and order conditions for exponential integrators
Alemayehu Adugna Arara, Kristian Debrabant, Anne Kværnø
We discuss stochastic differential equations with a stiff linear part and their approximation by stochastic exponential integrators. Representing the exact and approximate solution…