Brian Helba

Oncology · 2016–2020

A researcher in the Science corpus: 8 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Helba trusts overall

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

  1. Noel C. F. Codella

Who trusts Brian Helba overall

  1. Noel C. F. Codella

Papers from Brian Helba's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Fully convolutional networks for semantic segmentation
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. FaceNet: A unified embedding for face recognition and clustering
  5. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Deep Face Recognition
  9. Diagnostic accuracy of dermoscopy. (The Lancet Oncology)
  10. Deep learning ensembles for melanoma recognition in dermoscopy images

Their papers