145 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Royal Marsden NHS Foundation TrustGB4 papers
- Institute of Cancer ResearchGB3 papers
- Amsterdam UMC Location University of AmsterdamNL1 paper
- Breast Cancer NowGB1 paper
- Bristol-Myers Squibb (Belgium)BE1 paper
- Bristol-Myers Squibb (United States)US1 paper
- Cancer Center AmsterdamNL1 paper
- Centre de Recherche en Cancérologie de LyonFR1 paper
- Centre for Big Data Research in HealthAU1 paper
- Centre Léon BérardFR1 paper
- Hammersmith HospitalGB1 paper
- HFR Freiburg KantonsspitalCH1 paper
5 papers
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…
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…
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images
Priya Lakshmi Narayanan, Shan E Ahmed Raza, Andrew Dodson +3
Ki67 is an important biomarker for breast cancer. Classification of positive and negative Ki67 cells in histology slides is a common approach to determine cancer proliferation stat…
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…