• Publications
  • Influence
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
TLDR
The set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences are reported, finding that different algorithms worked best for different sub-regions, but that no single algorithm ranked in the top for all sub-Regions simultaneously. Expand
3D Slicer as an image computing platform for the Quantitative Imaging Network.
TLDR
An overview of 3D Slicer is presented as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications and the utility of the platform in the scope of QIN is illustrated. Expand
Overview of the CLEF 2009 Medical Image Retrieval Track
TLDR
2009 was the sixth year for the ImageCLEF medical retrieval task and for the first time, 5 case-based topics were provided as an exploratory task, designed to be closer to the clinical workflow. Expand
The RSNA Pediatric Bone Age Machine Learning Challenge.
TLDR
The RSNA Pediatric Bone Age Machine Learning Challenge showed how a coordinated approach to solving a medical imaging problem can be successfully conducted and will catalyze collaboration and development of ML tools and methods that can potentially improve diagnostic accuracy and patient care. Expand
Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge.
TLDR
The results suggest that the interalgorithm parameter variations are largely systematic, which are not likely to significantly affect the utility of DCE-MRI for assessment of therapy response. Expand
Improved tumor oxygenation and survival in glioblastoma patients who show increased blood perfusion after cediranib and chemoradiation
TLDR
It is demonstrated that improved perfusion occurs only in a subset of patients in cediranib-containing regimens, and is associated with improved overall survival in these nGBM patients, and these results may provide new insight into the selection of glioblastoma patients most likely to benefit from anti-VEGF treatments. Expand
Overview of the ImageCLEFmed 2008 Medical Image Retrieval Task
TLDR
The medical image retrieval task of ImageCLEF is in its fifth year and participation continues to increase to a total of 37 registered research groups, with best results regarding MAP were similar for textual and multi- modal approaches whereas early precision was better for some multi-modal approaches. Expand
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
TLDR
This fully automated algorithm diagnosed plus disease in ROP with comparable or better accuracy than human experts, which has potential applications in disease detection, monitoring, and prognosis in infants at risk of ROP. Expand
Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials.
TLDR
The current document outlines consensus recommendations for a standardized Brain Tumor Imaging Protocol (BTIP), along with the scientific and practical justifications for these recommendations, resulting from a series of discussions between various experts involved in aspects of neuro-oncology neuroimaging for clinical trials. Expand
Overview of the ImageCLEF 2012 Medical Image Retrieval and Classification Tasks
TLDR
The ninth edition of the ImageCLEF medical image retrieval and classication tasks was organized in 2012, using a larger number of over 300'000 images than in 2011, adding mainly complexity. Expand
...
1
2
3
4
5
...