Facial nerve image enhancement from CBCT using supervised learning technique. - Ping Lu 003; Livia Barazzetti; Vimal Chandran; Kate A. Gavaghan; Stefan Weber 002; Nicolas Gerber; Mauricio Reyes 001 (EMBC, 2015)

Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging. - Ping Lu 003; Livia Barazzetti; Vimal Chandran; Kate A. Gavaghan; Stefan Weber 002; Nicolas Gerber; Mauricio Reyes 001 (CURAC, 2016)

Highly Accurate Facial Nerve Segmentation Refinement From CBCT/CT Imaging Using a Super-Resolution Classification Approach. - Ping Lu 003; Livia Barazzetti; Vimal Chandran; Kate A. Gavaghan; Stefan Weber 002; Nicolas Gerber; Mauricio Reyes 001 (IEEE Trans. Biomed. Eng., 2018)

Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. - Ping Lu 003; Wenjia Bai; Daniel Rueckert; J. Alison Noble (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. - Ping Lu 003; Huaqi Qiu; Chen Qin; Wenjia Bai; Daniel Rueckert; J. Alison Noble (MIUA, 2020)

Multiscale Graph Convolutional Networks for Cardiac Motion Analysis. - Ping Lu 003; Wenjia Bai; Daniel Rueckert; J. Alison Noble (FIMH, 2021)

Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. - Ping Lu 003; Wenjia Bai; Daniel Rueckert; J. Alison Noble (ISBI, 2021)

Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. - Shadi Ghiasi; Tingting Zhu 001; Ping Lu 003; Jannis Hagenah; Phan Nguyen Quoc Khanh; Nguyen Van Hao; VITAL Consortium; Louise Thwaites; David A. Clifton (Sensors, 2022)

Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing. - Ping Lu 003; Shadi Ghiasi; Jannis Hagenah; Ho Bich Hai; Nguyen Van Hao; Phan Nguyen Quoc Khanh; Le Dinh Van Khoa; VITAL Consortium; Louise Thwaites; David A. Clifton; Tingting Zhu 001 (Sensors, 2022)

Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network. - Ping Lu 003; Chenyang Wang; Jannis Hagenah; Shadi Ghiasi; VITAL Consortium; Tingting Zhu 001; Louise Thwaites; David A. Clifton (IEEE Trans. Biomed. Eng., 2023)

2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries. - Ping Lu 003; Andrew P. Creagh; Huiqi Y. Lu; Ho Bich Hai; Louise Thwaites; David A. Clifton (Sensors, 2023)

A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus. - Huiqi Y. Lu; Ping Lu 003; Jane E. Hirst; Lucy Mackillop; David A. Clifton (Sensors, 2023)

A brief review of hypernetworks in deep learning. - Vinod Kumar Chauhan; Jiandong Zhou 003; Ping Lu 003; Soheila Molaei; David A. Clifton (Artif. Intell. Rev., 2024)

Diffusion with Adversarial Fine-Tuning for Improving Rare Retinal Disease Diagnosis. - Dominika Iwanicka; Ping Lu 003 (MIUA (3), 2025)

Transform(AI)ng Radiology with CheXSBT: Integrating Dual-Attention Swin Transformer with BERT for Seamless Chest X-Ray Report Generation. - Aradhya Khandeparker; Ping Lu 003 (MIUA (1), 2025)

Cardiac Ultrasound Video Generation Using a Diffusion Model with Temporal Transformer. - Wenbin Wang; Ping Lu 003 (MIUA (1), 2025)

KCLVA: Knowledge-Enhanced Contrastive Learning and View-Specific Attention for Chest X-Ray Report Generation. - Jinlong Zhu; Ping Lu 003 (MIUA (1), 2025)