Sameer Kiran Antani

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 10 papers; trusts 122 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 103 citations into it; #21,548 of 21,575 by trust here, #4,834 by citations
• Artificial Intelligence — 59 citations into it
• Model Architectures — 21 citations into it
• Molecular Biology — 12 citations into it
• Biophysics — 11 citations into it
• Media Technology — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Statistics and Probability — 7 citations into it

Whom Sameer Kiran Antani trusts overall

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

1. Theo Gevers
2. M. Swain
3. Yann LeCun
4. Geoffrey E. Hinton
5. Kaiming He
6. Ullas Gargi
7. Alex Krizhevsky
8. Yoshua Bengio
9. Christian Szegedy
10. Yuri Boykov

Who trusts Sameer Kiran Antani overall

1. Lei He
2. L. Rodney Long
3. Mohammad Tariqul Islam

Papers from Sameer Kiran Antani's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. (2014) — 1,079 citations
• Preparing a collection of radiology examinations for distribution and retrieval (2015) — 1,302 citations
• Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays (2020) — 299 citations
• How far have we come? Artificial intelligence for chest radiograph interpretation. (2019) — 145 citations
• An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening. (2019) — 348 citations
• Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images (2018) — 514 citations
• Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration (2013) — 653 citations
• Automatic Tuberculosis Screening Using Chest Radiographs (2013) — 689 citations
• Histology image analysis for carcinoma detection and grading (2012) — 381 citations
• A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video (2002) — 383 citations