Amjad Rehman

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it

Whom Amjad Rehman trusts overall

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

1. Yuri Boykov
2. M. F. Elrawy
3. Stephen M. Smith
4. Nickolaos Koroniotis

Papers from Amjad Rehman's perspective

Ordered by how strongly the researchers Amjad Rehman 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet Large Scale Visual Recognition Challenge
4. Identity Mappings in Deep Residual Networks
5. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
6. ImageNet classification with deep convolutional neural networks
7. "GrabCut": interactive foreground extraction using iterated graph cuts
8. Fast approximate energy minimization via graph cuts
9. How transferable are features in deep neural networks?
10. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images

Their papers

• Anomaly-based intrusion detection system for IoT networks through deep learning model (2022) — 378 citations
• Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists (2020) — 366 citations
• A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks (2019) — 357 citations
• Medical Image Segmentation Methods, Algorithms, and Applications (2014) — 330 citations