Jussi Tohka
Computer Vision and Pattern Recognition · 2004–2014
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 12 citations into it; #12,299 of 21,575 by trust here, #15,162 by citations
- Artificial Intelligence — 9 citations into it
- Statistics and Probability — 5 citations into it; #7,217 of 12,932 by trust here, #6,310 by citations
Whom Jussi Tohka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Julian Besag
- Peter J. Rousseeuw
- Dzung L. Pham
- Greg C. G. Wei
- John G. Sled
- Yongyue Zhang
- K. V. Leemput
- David W. Shattuck
- Jerry L Prince
- Martin A. Tanner
Who trusts Jussi Tohka overall
- Christian Gaser
- Robert Dahnke
- William R. Crum
- Robin Wolz
- Rachel Aine Yotter
- Oscar Camara
- José Vicente Manjón
- Florian Kurth
- Valtteri Julkunen
Papers from Jussi Tohka's perspective
Ordered by how strongly the researchers Jussi Tohka trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- On the Statistical Analysis of Dirty Pictures
- Spatial Interaction and the Statistical Analysis of Lattice Systems
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
- Magnetic resonance image tissue classification using a partial volume model. (NeuroImage)
- Adaptive fuzzy segmentation of magnetic resonance images
- A nonparametric method for automatic correction of intensity nonuniformity in MRI data
- Random Forests
- A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
- Robust Statistics—The Approach Based on Influence Functions
Their papers
- Fast and robust parameter estimation for statistical partial volume models in brain MRI (2004) — 700 citations
- Machine learning framework for early MRI-based Alzheimer’s conversion prediction in MCI subjects (2014) — 694 citations