563 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University College LondonGB43 papers
- UCL Queen Square Institute of NeurologyGB15 papers
- King's College LondonGB11 papers
- Wellcome Centre for Human NeuroimagingGB8 papers
- Wellcome / EPSRC Centre for Interventional and Surgical SciencesGB8 papers
- Queen Mary University of LondonGB7 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Sorbonne UniversitéFR4 papers
- Assistance Publique – Hôpitaux de ParisFR3 papers
- Harvard UniversityUS3 papers
- InsermFR3 papers
- Massachusetts General HospitalUS3 papers
3 papers · 2 filters
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning
Mikael Agn, Per Munck af Rosenschöld, Oula Puonti +7
In this paper we present a method for simultaneously segmenting brain tumors and an extensive set of organs-at-risk for radiation therapy planning of glioblastomas. The method comb…
An Algorithm for Learning Shape and Appearance Models without Annotations
John Ashburner, Mikael Brudfors, Kevin Bronik +1
This paper presents a framework for automatically learning shape and appearance models for medical (and certain other) images. It is based on the idea that having a more accurate s…
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions
Zach Eaton-Rosen, Felix Bragman, Sotirios Bisdas +2
Automated medical image segmentation, specifically using deep learning, has shown outstanding performance in semantic segmentation tasks. However, these methods rarely quantify the…