Jean-Philippe Thiran
Cognitive Neuroscience · 2000–2019
A researcher in the Science corpus: 16 papers; trusts 65 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 133 citations into it; #1,872 of 10,852 by trust here, #606 by citations
- Radiology, Nuclear Medicine and Imaging — 122 citations into it; #335 of 3,265 by trust here, #162 by citations
- Computer Vision and Pattern Recognition — 53 citations into it; #13,295 of 21,575 by trust here, #10,677 by citations
- Statistical and Nonlinear Physics — 23 citations into it
- Pediatrics, Perinatology and Child Health — 20 citations into it
- Orthopedics and Sports Medicine — 16 citations into it
- Molecular Biology — 15 citations into it
- Experimental and Cognitive Psychology — 14 citations into it
Whom Jean-Philippe Thiran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Olaf Sporns
- E. Bullmore
- Stanley J. Osher
- Tony F. Chan
- Derek K. Jones
- D. Bassett
- Patric Hagmann
- Yong He
- Andrew Zalesky
- Raymond W. Smith
Who trusts Jean-Philippe Thiran overall
- Olaf Sporns
- Denis Le Bihan
- Gustavo Deco
- Joana Cabral
- Rowan J. Smith
- Heidi Johansen-Berg
- Martijn P. van den Heuvel
- E. Bullmore
- Andrew Zalesky
- Yiheng Liu
Papers from Jean-Philippe Thiran's perspective
Ordered by how strongly the researchers Jean-Philippe Thiran trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Distinctive Image Features from Scale-Invariant Keypoints
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Fast Global Minimization of the Active Contour/Snake Model (2007) — 958 citations
- A Surface-Based Approach to Quantify Local Cortical Gyrification (2008) — 547 citations
- FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents (2019) — 510 citations
- The challenge of mapping the human connectome based on diffusion tractography (2017) — 1,249 citations
- Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data (2015) — 571 citations
- Generative models of the human connectome (2015) — 298 citations
- Structural connectomics in brain diseases (2013) — 310 citations
- Scale Invariant Feature Transform on the Sphere: Theory and Applications (2011) — 182 citations
- White matter maturation reshapes structural connectivity in the late developing human brain (2010) — 714 citations
- Predicting human resting-state functional connectivity from structural connectivity (2009) — 3,335 citations
- Mapping Human Whole-Brain Structural Networks with Diffusion MRI (2007) — 852 citations
- Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images (2005) — 393 citations
- DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection (2003) — 356 citations
- The BANCA Database and Evaluation Protocol (2003) — 515 citations
- Prognostic accuracy of cerebral blood flow measurement by perfusion computed tomography, at the time of emergency room admission, in acute stroke patients (2002) — 556 citations
- Distinct Pathways Involved in Sound Recognition and Localization: A Human fMRI Study (2000) — 414 citations