Dr Wenqi Lu
Lecturer
My profile
Biography
Dr. Wenqi Lu is a Lecturer (Assistant Professor) in Artificial Intelligence at Manchester Metropolitan University. She was a Research Fellow at the Tissue Image Analytics (TIA) Centre at the University of Warwick, where she developed cutting-edge machine learning methods for cancer analysis in computational pathology. Prior to that, she earned her PhD from the University of Birmingham with a thesis titled Advanced Regularisation and Discretisation Methods in Diffuse Optical Tomography. Her PhD was funded by the Marie Skłodowska-Curie Fellowship under the European Union’s Horizon Europe framework program.
Dr. Lu’s research interests include medical image analysis, especially in computational pathology, and inverse models. She has published several papers on conferences and journals, such as Medical Image Analysis, The Lancet Digital Health, The Association for the Advancement of Artificial Intelligence (AAAI), the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Teaching
I am teaching Algorithms and Data Structure for BSc and MSc students.
Research outputs
-
Journal articles
Zhang, Y., Liu, B., Bunting, K.V., Brind, D., Thorley, A., Karwath, A., Lu, W., Zhou, D., Wang, X., Mobley, A.R., Tica, O., Gkoutos, G.V., Kotecha, D., Duan, J. (2024) 'Development of automated neural network prediction for echocardiographic left ventricular ejection fraction.' Frontiers in Medicine, 11
Heald, A., Lu, W., Robinson, A., Schofield, H., Rashid, H., Dunn, G., Whyte, M.B., Jude, E., Gibson, J.M., Stedman, M., Edmonds, M. (2024) 'Mortality in people with a diabetes foot ulcer: An update from the Salford podiatry clinic follow-up study.' Diabetic Medicine, 41(7)
Lu, W., Lashen, A.G., Wahab, N., Miligy, I.M., Jahanifar, M., Toss, M., Graham, S., Bilal, M., Bhalerao, A., Atallah, N.M., Makhlouf, S., Ibrahim, A.Y., Snead, D., Minhas, F., Raza, S.E.A., Rakha, E., Rajpoot, N. (2024) 'AI‐based intra‐tumor heterogeneity score of Ki67 expression as a prognostic marker for early‐stage ER+/HER2− breast cancer.' The Journal of Pathology: Clinical Research, 10(1)
Bilal, M., Tsang, Y.W., Ali, M., Graham, S., Hero, E., Wahab, N., Dodd, K., Sahota, H., Wu, S., Lu, W., Jahanifar, M., Robinson, A., Azam, A., Benes, K., Nimir, M., Hewitt, K., Bhalerao, A., Eldaly, H., Raza, S.E.A., Gopalakrishnan, K., Minhas, F., Snead, D., Rajpoot, N. (2023) 'Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study.' The Lancet Digital Health, 5(11) pp. e786-e797.
Graham, S., Minhas, F., Bilal, M., Ali, M., Tsang, Y.W., Eastwood, M., Wahab, N., Jahanifar, M., Hero, E., Dodd, K., Sahota, H., Wu, S., Lu, W., Azam, A., Benes, K., Nimir, M., Hewitt, K., Bhalerao, A., Robinson, A., Eldaly, H., Raza, S.E.A., Gopalakrishnan, K., Snead, D., Rajpoot, N. (2023) 'Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study.' Gut, 72(9) pp. 1709-1721.
Lu, W., Toss, M., Dawood, M., Rakha, E., Rajpoot, N., Minhas, F. (2022) 'SlideGraph+: whole slide image level graphs to predict HER2 status in breast cancer.' Medical Image Analysis, 80pp. 102486-102486.
Wahab, N., Miligy, I.M., Dodd, K., Sahota, H., Toss, M., Lu, W., Jahanifar, M., Bilal, M., Graham, S., Park, Y., Hadjigeorghiou, G., Bhalerao, A., Lashen, A.G., Ibrahim, A.Y., Katayama, A., Ebili, H.O., Parkin, M., Sorell, T., Raza, S.E.A., Hero, E., Eldaly, H., Tsang, Y.W., Gopalakrishnan, K., Snead, D., Rakha, E., Rajpoot, N., Minhas, F. (2022) 'Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations.' Journal of Pathology: Clinical Research, 8(2) pp. 116-128.
-
Conference papers
Song, J., Lu, W., Lei, Y., Tang, Y., Pan, Z., Duan, J. (2024) 'Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems.' 38. 20/2/2024 - 27/2/2024. Association for the Advancement of Artificial Intelligence (AAAI), pp. 8117-8125.