Zahed Siddique
Radiology, Nuclear Medicine and Imaging · 2007–2021
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 20 citations into it
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Management of Technology and Innovation — 9 citations into it
- Health Information Management — 7 citations into it; #327 of 344 by trust here, #263 by citations
- Marketing — 5 citations into it
- Strategy and Management — 5 citations into it
Whom Zahed Siddique trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert E. Schapire
- Behnam Fahimnia
- Luca Brunese
- Ezz El-Din Hemdan
- Harris Drucker
- Ali Narin
- Bichen Zheng
- Essam H. Houssein
- M. Ahsan
- Peter C. Austin
Who trusts Zahed Siddique overall
Papers from Zahed Siddique's perspective
Ordered by how strongly the researchers Zahed Siddique trusts endorse each paper. Same corpus, a different order for every researcher.
- COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images (arXiv.org)
- Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
- Deep Learning
- Green supply chain management: A review and bibliometric analysis
- Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images (IEEE/ACM Transactions on Computational Biology & Bioinformatics)
- Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
- Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction
- A deep convolutional neural network model to classify heartbeats (Comput. Biol. Medicine)
- Some Studies in Machine Learning Using the Game of Checkers
- Support vector machines for spam categorization
Their papers
- Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance (2021) — 690 citations
- Machine-Learning-Based Disease Diagnosis: A Comprehensive Review (2021) — 527 citations
- Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review (2021) — 339 citations
- Product family design and platform-based product development: a state-of-the-art review (2007) — 924 citations