145 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institute of Cancer ResearchGB9 papers
- Royal Marsden HospitalGB4 papers
- Imperial College LondonGB3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- German Cancer Research CenterDE2 papers
- Universitätsklinikum ErlangenDE2 papers
- Amsterdam UMC Location University of AmsterdamNL1 paper
- Baylor College of MedicineUS1 paper
- Bristol-Myers Squibb (Belgium)BE1 paper
- Bristol-Myers Squibb (United States)US1 paper
- Brotman Baty InstituteUS1 paper
- Cambridge University Hospitals NHS Foundation TrustGB1 paper
11 papers
A weakly-supervised deep learning model for fast localisation and delineation of the skeleton, internal organs, and spinal canal on Whole-Body Diffusion-Weighted MRI (WB-DWI)
A. Candito, A. Dragan, R. Holbrey +6
Background: Apparent Diffusion Coefficient (ADC) values and Total Diffusion Volume (TDV) from Whole-body diffusion-weighted MRI (WB-DWI) are recognized cancer imaging biomarkers. H…
Combining multiplexed functional data to improve variant classification
Atlas of Variant Effects Alliance, :, Jeffrey D. Calhoun +10
With the surge in the number of variants of uncertain significance (VUS) reported in ClinVar in recent years, there is an imperative to resolve VUS at scale. Multiplexed assays of…
In vivo exposure of the bladder using a non-invasive high intensity focused ultrasound toroidal transducer
Victor Delattre, Sophie Cambronero, Yao Chen +5
A toroidal high-intensity focused ultrasound (HIFU) transducer was used to expose normal bladder wall tissues non-invasively in vivo in a porcine model in order to investigate the…
A Bayesian hierarchical mixture cure modelling framework to utilize multiple survival datasets for long-term survivorship estimates: A case study from previously untreated metastatic melanoma
Nathan Green, Murat Kurt, Andriy Moshyk +2
Time to an event of interest over a lifetime is a central measure of the clinical benefit of an intervention used in a health technology assessment (HTA). Within the same trial, mu…
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
Talha Qaiser, Stefan Winzeck, Theodore Barfoot +9
Whole body magnetic resonance imaging (WB-MRI) is the recommended modality for diagnosis of multiple myeloma (MM). WB-MRI is used to detect sites of disease across the entire skele…
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift
Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein +2
Scarcity of high quality annotated images remains a limiting factor for training accurate image segmentation models. While more and more annotated datasets become publicly availabl…
On the field strength dependence of bi- and triexponential intravoxel incoherent motion (IVIM) parameters in the liver
Andreas Julian Riexinger, Jan Martin, Susanne Rauh +8
Background: Studies on intravoxel incoherent motion (IVIM) imaging are carried out with different acquisition protocols. Purpose: Investigate the dependence of IVIM parameters on t…
Contrast-to-noise ratio analysis of microscopic diffusion anisotropy indices in q-space trajectory imaging
Jan Martin, Sebastian Endt, Andreas Wetscherek +5
Diffusion anisotropy in diffusion tensor imaging (DTI) is commonly quantified with normalized diffusion anisotropy indices (DAIs). Most often, the fractional anisotropy (FA) is use…
Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI
Sebastiano Barbieri, Oliver J. Gurney-Champion, Remy Klaassen +1
Purpose: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighte…
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai +5
When integrating computational tools such as automatic segmentation into clinical practice, it is of utmost importance to be able to assess the level of accuracy on new data, and i…
Multicriteria VMAT optimization
David Craft, Dualta McQuaid, Jeremiah Wala +3
Purpose: To make the planning of volumetric modulated arc therapy (VMAT) faster and to explore the tradeoffs between planning objectives and delivery efficiency. Methods: A convex…