Alexander Enk

Immunology · 2000–2019

A researcher in the Science corpus: 8 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Immunology — 26 citations into it

Whom Alexander Enk trusts overall

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

1. E. Shevach
2. A. Thornton

Who trusts Alexander Enk overall

1. Sameer Quazi

Papers from Alexander Enk's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Rethinking the Inception Architecture for Computer Vision
5. Deep Learning
6. Cell Contact–Dependent Immunosuppression by Cd4+Cd25+Regulatory T Cells Is Mediated by Cell Surface–Bound Transforming Growth Factor β (Journal of Experimental Medicine)
7. Regulatory T cells in autoimmmunity*. (Annual Review of Immunology)
8. B7/CD28 costimulation is essential for the homeostasis of the CD4+CD25+ immunoregulatory T cells that control autoimmune diabetes. (Immunity)
9. Immunologic tolerance maintained by CD25+ CD4+ regulatory T cells: their common role in controlling autoimmunity, tumor immunity, and transplantation tolerance (Immunological Reviews)
10. Immunologic Self-Tolerance Maintained by Cd25+Cd4+Regulatory T Cells Constitutively Expressing Cytotoxic T Lymphocyte–Associated Antigen 4 (Journal of Experimental Medicine)

Their papers

• Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists (2018) — 1,405 citations
• Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition. (2019) — 352 citations
• Deep neural networks are superior to dermatologists in melanoma image classification. (2019) — 315 citations
• Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review (2018) — 424 citations
• Human CD25+ regulatory T cells: two subsets defined by the integrins α4β7 or α4β1 confer distinct suppressive properties upon CD4+ T helper cells (2004) — 158 citations
• Infectious Tolerance (2002) — 668 citations
• Identification and Functional Characterization of Human Cd4+Cd25+ T Cells with Regulatory Properties Isolated from Peripheral Blood (2001) — 1,408 citations
• Induction of Interleukin 10–Producing, Nonproliferating Cd4+ T Cells with Regulatory Properties by Repetitive Stimulation with Allogeneic Immature Human Dendritic Cells (2000) — 1,733 citations