Yashar Behzadi

Radiology, Nuclear Medicine and Imaging · 2007

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 9 citations into it; #945 of 3,265 by trust here, #934 by citations
• Cognitive Neuroscience — 8 citations into it; #3,673 of 10,852 by trust here, #2,998 by citations

Whom Yashar Behzadi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stephen M. Smith
2. Christian F. Beckmann
3. Gary H. Glover
4. Mark William Woolrich
5. Christopher G. Thomas
6. Rasmus M. Birn
7. Torben Ellegaard Lund
8. Tie-Qiang Li
9. Richard A. Harshman
10. B. D. Ripley

Who trusts Yashar Behzadi overall

1. Susan L. Whitfield-Gabrieli
2. Alfonso Nieto-Castanon
3. Jonathan D. Power
4. Aaron Kucyi
5. And U. Turken
6. Charlotte Caucheteux
7. Kai Hwang
8. Kevin Murphy
9. Chaogan Yan
10. Raimon H. R. Pruim

Papers from Yashar Behzadi's perspective

Ordered by how strongly the researchers Yashar Behzadi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
2. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
3. Physiological noise in oxygenation‐sensitive magnetic resonance imaging (Magnetic Resonance in Medicine)
4. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR (Magnetic Resonance in Medicine)
5. Advances in functional and structural MR image analysis and implementation as FSL.
6. Non-white noise in fMRI: Does modelling have an impact? (NeuroImage)
7. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI (NeuroImage)
8. Measuring interregional functional connectivity using coherence and partial coherence analyses of fMRI data (NeuroImage)
9. Noise Reduction in BOLD-Based fMRI Using Component Analysis (NeuroImage)
10. To Smooth or Not to Smooth?: Bias and Efficiency in fMRI Time-Series Analysis

Their papers

• A component based noise correction method (CompCor) for BOLD and perfusion based fMRI (2007) — 4,328 citations