Simon Keith Warfield
Computer Vision and Pattern Recognition · 2001–2021
A researcher in the Science corpus: 15 papers; trusts 140 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 91 citations into it; #5,891 of 21,575 by trust here, #4,988 by citations
- Artificial Intelligence — 83 citations into it; #9,997 of 35,345 by trust here, #9,369 by citations
- Radiology, Nuclear Medicine and Imaging — 39 citations into it; #353 of 3,265 by trust here, #546 by citations
- Pediatrics, Perinatology and Child Health — 21 citations into it; #322 of 722 by trust here, #209 by citations
- Pulmonary and Respiratory Medicine — 16 citations into it
- Optimization & Training — 14 citations into it
- Biomedical Engineering — 12 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
Whom Simon Keith Warfield trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Davi Geiger
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Ross B. Girshick
- Arthur P. Dempster
- Yann LeCun
- Stuart Geman
Who trusts Simon Keith Warfield overall
- Phi Vu Tran
- Junde Wu
- Mert Rory Sabuncu
- Juan Eugenio Iglesias
- Alison Noble
- Antonios Makropoulos
- Brian B. Avants
- Xabier Artaechevarria
- Christian Wachinger
- Mariano Cabezas
Papers from Simon Keith Warfield's perspective
Ordered by how strongly the researchers Simon Keith Warfield trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Statistical validation of image segmentation quality based on a spatial overlap index. (2004) — 1,839 citations
- Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (2004) — 2,250 citations
- Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation (2005) — 375 citations
- Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model (2001) — 299 citations
- Brain charts for the human lifespan (2021) — 1,503 citations
- Deep learning with noisy labels: exploring techniques and remedies in medical image analysis (2019) — 691 citations
- Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure (2018) — 298 citations
- A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth (2017) — 339 citations
- Robust Super-resolution Volume Reconstruction from Slice Acquisitions: Application to Fetal Brain MRI (2010) — 366 citations
- Standardized Evaluation Methodology and Reference Database for Evaluating Coronary Artery Centerline Extraction Algorithms (2009) — 406 citations
- Patient-specific model of brain deformation: application to medical image registration. (2007) — 474 citations
- Abnormal Cerebral Structure Is Present at Term in Premature Infants (2005) — 920 citations
- Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004 (2004) — 426 citations
- Improved watershed transform for medical image segmentation using prior information (2004) — 821 citations
- Early experience alters brain function and structure. (2004) — 881 citations