Philip Teare
Publications by Year
Research Areas
Natural Language Processing Techniques, Generative Adversarial Networks and Image Synthesis, Machine Learning and Algorithms, Machine Learning in Healthcare, Quantum Information and Cryptography
Most-Cited Works
- → Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement(2017)104 cited
- → The impact of imputation quality on machine learning classifiers for datasets with missing values(2023)98 cited
- → Navigating the development challenges in creating complex data systems(2023)8 cited
- → Classification of datasets with imputed missing values: does imputation quality matter?(2022)7 cited
- → Tackling Structural Hallucination in Image Translation with Local Diffusion(2024)6 cited
- → Improved clinical data imputation via classical and quantum determinantal point processes(2023)6 cited
- → DOP077 EndoUC: an AI-assisted endoscopic Ulcerative Colitis activity grading application for deployment in clinical trials(2025)2 cited
- → A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data(2023)2 cited