Meindert Niemeijer

Radiology, Nuclear Medicine and Imaging · 2004–2018

A researcher in the Science corpus: 8 papers; trusts 10 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 37 citations into it; #256 of 3,265 by trust here, #165 by citations
• Computer Vision and Pattern Recognition — 33 citations into it; #6,442 of 21,575 by trust here, #3,692 by citations
• Ophthalmology — 20 citations into it; #13 of 222 by trust here, #2 by citations
• Artificial Intelligence — 13 citations into it
• Pulmonary and Respiratory Medicine — 10 citations into it

Whom Meindert Niemeijer trusts overall

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

1. Joes Staal
2. Michael David Abràmoff
3. B. van Ginneken
4. Michael H. Goldbaum
5. Thomas Walter
6. Xiaoyi Jiang
7. Diederik P. Kingma
8. Jean-Claude Klein
9. Gwenolé Quellec

Who trusts Meindert Niemeijer overall

1. Michael David Abràmoff
2. Elisa Ricci
3. Sohini Roychowdhury
4. M. Sofka
5. Luca Giancardo
6. Muhammad Moazam Fraz
7. Diego Marín
8. Carmen Alina Lupascu
9. Mohammed Sadeq Al-Rawi
10. Mohammad Saleh Miri

Papers from Meindert Niemeijer's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. GENERATIVE ADVERSARIAL NETS
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Deep Learning
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Image-to-Image Translation with Conditional Adversarial Networks

Their papers

• Ridge-based vessel segmentation in color images of the retina (2004) — 4,272 citations
• Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning. (2016) — 1,032 citations
• End-to-End Adversarial Retinal Image Synthesis (2018) — 396 citations
• Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study (2010) — 316 citations
• Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs (2010) — 572 citations
• Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis. (2007) — 438 citations
• Automatic detection of red lesions in digital color fundus photographs (2005) — 615 citations
• Comparative study of retinal vessel segmentation methods on a new publicly available database (2004) — 906 citations