Bernardo Bizzo

2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Bernardo Bizzo trusts overall

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

  1. Matthew D. Zeiler

Papers from Bernardo Bizzo's perspective

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

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  2. Aggregated Residual Transformations for Deep Neural Networks
  3. ADADELTA: An Adaptive Learning Rate Method
  4. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
  5. Dermatologist-level classification of skin cancer with deep neural networks
  6. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
  7. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
  8. Weakly-Supervised Evidence Pinpointing and Description
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers