A. Ahuja

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom A. Ahuja trusts overall

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

  1. Thijs Kooi
  2. Bart Verheij
  3. Geert J. S. Litjens
  4. Zeynettin Akkus
  5. Ursula Schmidt-Erfurth
  6. B. van Ginneken

Who trusts A. Ahuja overall

  1. Rohan Gupta
  2. Devesh Srivastava
  3. Mehar Sahu

Papers from A. Ahuja's perspective

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

  1. Large scale deep learning for computer aided detection of mammographic lesions
  2. Artificial intelligence in retina. (Progress in retinal and eye research)
  3. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
  4. Artificial Intelligence
  5. Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
  6. Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans (Scientific Reports)
  7. Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation (IEEE Transactions on Medical Imaging)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

Their papers