Khan Mohammad Iftekharuddin

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 6 papers; trusts 242 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 180 citations into it; #16,994 of 21,575 by trust here, #2,938 by citations
• Artificial Intelligence — 122 citations into it
• Radiology, Nuclear Medicine and Imaging — 33 citations into it
• Generative Models — 31 citations into it
• Model Architectures — 31 citations into it
• Media Technology — 13 citations into it
• Optimization & Training — 9 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Khan Mohammad Iftekharuddin trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Yann LeCun
5. Alex Krizhevsky
6. Kaiming He
7. Alex Graves
8. Ruslan Salakhutdinov
9. Ilya Sutskever
10. Thomas G. Dietterich

Who trusts Khan Mohammad Iftekharuddin overall

1. A. Işın
2. Melike Šah
3. Cem Direkoǧlu

Papers from Khan Mohammad Iftekharuddin's perspective

Ordered by how strongly the researchers Khan Mohammad Iftekharuddin 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (2015) — 6,325 citations
• A Multi-Organ Nucleus Segmentation Challenge (2020) — 533 citations
• Survey on Deep Neural Networks in Speech and Vision Systems (2019) — 233 citations
• ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI (2016) — 525 citations
• Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge (2015) — 349 citations
• Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors (2013) — 299 citations