Manisa Mondal

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Manisa Mondal trusts overall

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

  1. Evan Shelhamer

Papers from Manisa Mondal's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
  4. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge (Medical Image Anal.)
  5. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
  6. Gradient-based learning applied to document recognition
  7. Fully Convolutional Networks for Semantic Segmentation
  8. ImageNet: A large-scale hierarchical image database
  9. DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification (IEEE Workshop/Winter Conference on Applications of Computer Vision)
  10. Going deeper with convolutions

Their papers