Ainuddin Wahid Abdul Wahab
Radiology, Nuclear Medicine and Imaging · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 20 citations into it
- Pulmonary and Respiratory Medicine — 5 citations into it
Whom Ainuddin Wahid Abdul Wahab trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ainuddin Wahid Abdul Wahab's perspective
Ordered by how strongly the researchers Ainuddin Wahid Abdul Wahab trusts endorse each paper. Same corpus, a different order for every researcher.
- What is the best multi-stage architecture for object recognition?
- ImageNet classification with deep convolutional neural networks
- Histopathological Image Analysis: A Review (IEEE Reviews in Biomedical Engineering)
- A Dataset for Breast Cancer Histopathological Image Classification
- Breast cancer histopathological image classification using Convolutional Neural Networks (IEEE International Joint Conference on Neural Network)
- A survey on deep learning in medical image analysis
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans (Scientific Reports)
- Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features (Journal of Medical Imaging)
Their papers
- Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges (2019) — 297 citations
- Image steganography in spatial domain: A survey (2018) — 423 citations