Aalpen A. Patel

Computer Vision and Pattern Recognition · 2018–2019

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

Subfields

Whom Aalpen A. Patel trusts

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

  1. Trevor Darrell (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Aalpen A. Patel's perspective

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

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. Fully convolutional networks for semantic segmentation
  3. Caffe: Convolutional Architecture for Fast Feature Embedding
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. Deep Learning
  6. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  7. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
  8. Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks (IEEE Transactions on Medical Imaging)
  9. Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
  10. Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

Their papers