Torsten Rohlfing
Radiology, Nuclear Medicine and Imaging · 2003–2011
A researcher in the Science corpus: 8 papers; trusts 37 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 37 citations into it; #180 of 3,265 by trust here, #1,019 by citations
- Computer Vision and Pattern Recognition — 32 citations into it; #4,190 of 21,575 by trust here, #6,606 by citations
- Cellular and Molecular Neuroscience — 14 citations into it; #2,581 of 2,998 by trust here, #1,274 by citations
- Sensory Systems — 11 citations into it; #685 of 760 by trust here, #174 by citations
- Biomedical Engineering — 8 citations into it; #1,165 of 10,734 by trust here, #8,749 by citations
- Cognitive Neuroscience — 8 citations into it
- Genetics — 6 citations into it; #5,889 of 6,854 by trust here, #2,390 by citations
- Numerical Methods & Scientific Computing — 6 citations into it
Whom Torsten Rohlfing trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel Rueckert
- Gary E. Christensen
- David W. Shattuck
- Calvin R. Maurer Jr.
- John A. Nelder
- Stephen M. Smith
- Grace Wahba
- Hans J. Johnson
- Julia Anne Schnabel
- John Ashburner
Who trusts Torsten Rohlfing overall
- Stefan Klein
- Maxim Berman
- Max A. Viergever
- Aristeidis Sotiras
- Berkin Bilgic
- Phi Vu Tran
- Christoph Baur
- Francisco P. M. Oliveira
- Marius Staring
- Jens Kleesiek
Papers from Torsten Rohlfing's perspective
Ordered by how strongly the researchers Torsten Rohlfing trusts endorse each paper. Same corpus, a different order for every researcher.
- Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
- On Combining Classifiers
- Consistent image registration (IEEE Transactions on Medical Imaging)
- Alignment by Maximization of Mutual Information
- Spline Models for Observational Data
- Determining Optical Flow
- Fast robust automated brain extraction
- Nonrigid registration using free-form deformations: application to breast MR images
- Magnetic resonance image tissue classification using a partial volume model. (NeuroImage)
- ImageNet classification with deep convolutional neural networks
Their papers
- Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable (2011) — 418 citations
- MRI Estimates of Brain Iron Concentration in Normal Aging Using Quantitative Susceptibility Mapping (2011) — 501 citations
- The SRI24 Multi-Channel Atlas of Normal Adult Human Brain Structure (2009) — 518 citations
- Comprehensive Maps of Drosophila Higher Olfactory Centers: Spatially Segregated Fruit and Pheromone Representation (2007) — 656 citations
- Image Similarity Using Mutual Information of Regions (2004) — 336 citations
- Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains (2004) — 641 citations
- Nonrigid image registration in shared-memory multiprocessor environments with application to brains, breasts, and bees (2003) — 367 citations
- Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint (2003) — 521 citations