Alexander Hubert
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 19 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
Whom Alexander Hubert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Alexander Hubert overall
Papers from Alexander Hubert's perspective
Ordered by how strongly the researchers Alexander Hubert trusts endorse each paper. Same corpus, a different order for every researcher.
- Understanding the difficulty of training deep feedforward neural networks
- Construction of a 3D probabilistic atlas of human cortical structures (NeuroImage)
- Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
- Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)
- Ilastik: Interactive learning and segmentation toolkit
- Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable (IEEE Transactions on Medical Imaging)
- elastix: A Toolbox for Intensity-Based Medical Image Registration (IEEE Transactions on Medical Imaging)
- 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network (Magnetic Resonance Imaging)
- Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- R: A language and environment for statistical computing.
Their papers
- Deep MRI brain extraction: A 3D convolutional neural network for skull stripping (2016) — 491 citations