Naimul Mefraz Khan

Artificial Intelligence · with Abraham · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #13,775 of 35,345 by trust here, #23,731 by citations

Whom Naimul Mefraz Khan trusts overall

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

1. James Bergstra
2. Moi Hoon Yap
3. Ozan Oktay

Who trusts Naimul Mefraz Khan overall

1. Michael Yeung
2. Nahian Alam Siddique
3. Gongping Chen
4. Hoel Kervadec

Papers from Naimul Mefraz Khan's perspective

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

1. Fully convolutional networks for semantic segmentation
2. ImageNet classification with deep convolutional neural networks
3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Deeply-Supervised Nets

Their papers

• A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation (2018) — 945 citations