Marleen de Bruijne
Artificial Intelligence · 2010–2023
A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it; #14,363 of 35,345 by trust here, #13,544 by citations
- Radiology, Nuclear Medicine and Imaging — 47 citations into it; #651 of 3,265 by trust here, #718 by citations
- Computer Vision and Pattern Recognition — 46 citations into it; #9,299 of 21,575 by trust here, #8,722 by citations
- Representation & Self-Supervised Learning — 9 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Pulmonary and Respiratory Medicine — 7 citations into it; #430 of 770 by trust here, #677 by citations
Whom Marleen de Bruijne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Loog
- Sebastian Ruder
- Xiaojin Zhu
- James R. Foulds
- J. Sickle
- Thomas Schlegl
- Jinbo Bi
- Chih-Jen Lin
- Shadi Albarqouni
- Geoffrey E. Hinton
Who trusts Marleen de Bruijne overall
- Meghavi Rana
- Megha Bhushan
- Mingxia Liu
- Wouter M. Kouw
- Christopher Morris
- Francesco Bianconi
- Xiaotao Wei
- Xuxin Chen
Papers from Marleen de Bruijne's perspective
Ordered by how strongly the researchers Marleen de Bruijne 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Extraction of Airways From CT (EXACT'09) (2012) — 310 citations
- Not‐so‐supervised: A survey of semi‐supervised, multi‐instance, and transfer learning in medical image analysis (2018) — 897 citations
- Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge (2011) — 492 citations
- FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare (2023) — 491 citations
- Machine learning approaches in medical image analysis: From detection to diagnosis (2016) — 319 citations
- Scalable kernels for graphs with continuous attributes (2013) — 191 citations
- Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns (2010) — 382 citations