Kamil Ugurbil

Radiology, Nuclear Medicine and Imaging · 2001–2021

A researcher in the Science corpus: 28 papers; trusts 76 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 319 citations into it; #148 of 3,265 by trust here, #17 by citations
• Cognitive Neuroscience — 269 citations into it; #850 of 10,852 by trust here, #129 by citations
• Computer Vision and Pattern Recognition — 39 citations into it
• Atomic and Molecular Physics, and Optics — 24 citations into it; #4,924 of 7,135 by trust here, #2,237 by citations
• Computational Mechanics — 24 citations into it
• Signal Processing — 22 citations into it
• Orthopedics and Sports Medicine — 18 citations into it
• Nuclear and High Energy Physics — 16 citations into it

Whom Kamil Ugurbil trusts overall

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

1. Essa Yacoub
2. Stephen M. Smith
3. Amir Shmuel
4. Steen Moeller
5. Felix Breuer
6. Nikos K. Logothetis
7. Christian F. Beckmann
8. Mark Jenkinson
9. Matthew F. Glasser
10. Robert Turner

Who trusts Kamil Ugurbil overall

1. Stephen M. Smith
2. Jesper L. R. Andersson
3. David A. Feinberg
4. Stamatios N. Sotiropoulos
5. David C. Van Essen
6. Kâmil Uludag
7. Essa Yacoub
8. Kawin Setsompop
9. Matthew F. Glasser
10. Armin W. Thomas

Papers from Kamil Ugurbil's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (Magnetic Resonance in Medicine)
10. Backpropagation Applied to Handwritten Zip Code Recognition

Their papers

• Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain (2021)
• Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data (2019) — 360 citations
• Scan-specific Robust Artificial-neural-networks for k-space Interpolation (RAKI) Reconstruction: Database-free Deep Learning for Fast Imaging (2018) — 403 citations
• The UNC/UMN Baby Connectome Project (BCP): An Overview of the Study Design and Protocol Development (2018) — 399 citations
• A multi-modal parcellation of human cerebral cortex (2016) — 4,736 citations
• The Human Connectome Project’s Neuroimaging Approach (2016) — 1,037 citations
• A positive-negative mode of population covariation links brain connectivity, demographics and behavior (2015) — 887 citations
• A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes (2014) — 296 citations
• ICA-based artefact and accelerated fMRI acquisition for improved Resting State Network imaging (2014) — 1,311 citations
• Evaluation of slice accelerations using multiband echo planar imaging at 3 Tesla (2013) — 516 citations
• Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project (2013) — 848 citations
• Resting-state fMRI in the Human Connectome Project (2013) — 1,605 citations
• The WU-Minn Human Connectome Project: An Overview (2013) — 5,885 citations
• Functional connectomics from resting-state fMRI. (2013) — 984 citations
• Advances in diffusion MRI acquisition and processing in the Human Connectome Project (2013) — 943 citations
• The Human Connectome Project: A data acquisition perspective (2012) — 2,659 citations
• Temporally-independent functional modes of spontaneous brain activity (2012) — 741 citations
• Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (2010) — 1,568 citations
• Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (2010) — 1,349 citations
• An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging (2009) — 454 citations