Chuan Lu BEng (Tianjin, China), MSc (Leuven, Belgium), PhD(Leuven)


Contact Details

Room Number..........:  E43
Building....................:  Llandinam
Phone.......................:   +44 (0)1970 628405
E-Mail........................:   cul
Home Page...............:   Personal

External Publication Websites:
Google Scholar

Research Groups

Teaching Areas

Modules Taught

  • CC18010: Datblygiad Proffesiynol a Phersonol
  • CS18010: Professional and Personal Development
  • CS36110: Machine Learning
  • CSM3120: Modelling, Managing and Securing Data
  • CSM6420: Machine Learning for Intelligent Systems
  • SEM6420: Machine Learning for Intelligent Systems



O'shea, K., Cameron, S.J., Lewis, K.E., Lewis, P.D., Lu, C., Mur, L.A. 2017. Corrigendum to Metabolomic-based biomarker discovery for non-invasive lung cancer screening: A case study [Biochimica et Biophysica Acta (BBA) – General subjects, vol. 1860 (2016), pp. 2682–2687]. Biochimica et Biophysica Acta (BBA) - General Subjects 10.1016/j.bbagen.2017.02.015 Cadair

Nadim, B., Infante, F., Lu, C., Sathasivam, N., Condous, G. 2017. The morphological ultrasound types known as ‘blob’ and ‘bagel’ signs should be reclassified from probable to definite ectopic pregnancy. Ultrasound in Obstetrics and Gynecology 10.1002/uog.17435 Cadair


Reid, S., Nadim, B., Bignardi, T., Lu, C., Martins, W.P., Condous, G. 2016. Association between three-dimensional transvaginal sonographic markers and outcome of pregnancy of unknown location: A pilot study. Ultrasound in Obstetrics and Gynecology 48 (5) pp. 650-655. 10.1002/uog.15923 Cadair

O'Shea, K., Cameron, S.J.S., Lewis, K.E., Lewis, P.D., Lu, C., Mur, L.A.J. 2016. Metabolomic-based biomarker discovery for non-invasive lung cancer screening: A case study. Biochimica et Biophysica Acta (BBA) - General Subjects 1860 (11 (Part B)) pp. 2682-2687. 10.1016/j.bbagen.2016.07.007 Cadair

Menakaya, U., Infante, F., Lu, C., Phua, C., Model, A., Messyne, F., Brainwood, M., Reid, S., Condous, G. 2016. Interpreting the real-time dynamic ‘sliding sign’ and predicting pouch of Douglas obliteration: an interobserver, intraobserver, diagnostic-accuracy and learning-curve study. Ultrasound in Obstetrics and Gynecology 48 (1) pp. 113-120. 10.1002/uog.15661 Cadair

Lattouf, I., Lu, C., Pixton, S., Reid, S., Condous, G. 2016. Is there a difference in the behaviour and subsequent management of ectopic pregnancies seen at first scan compared to those ectopic pregnancies which commence as pregnancies of unknown location? Australian and New Zealand Journal of Obstetrics and Gynaecology 56 (1) pp. 107-112. 10.1111/ajo.12434 Cadair

Reid, S., Lu, C., Gerges, B., Condous, G. 2016. Does the Transvaginal Ultrasound Uterine “Sliding Sign” Alone Outperform Direct Visualization Using Sonovaginography for the Prediction of Rectal/Rectosigmoid Deep Infiltrating Endometriosis? 45th AAGL Gloval Congress of Minimally Invasive Gynecology. Cadair


Reid, S., Lu, C., Casikar, I., Mein, B., Magotti, R., Ludlow, J., Benzie, R., Condous, G. 2015. The prediction of pouch of Douglas obliteration using offline analysis of the transvaginal ultrasound ‘sliding sign’ technique: inter- and intra-observer reproducibility. Acta Obstetricia et Gynecologica Scandinavica 94 (12) pp. 1237-1246. 10.1093/humrep/det044 Cadair


Reid, S., Lu, C., Hardy, N., Casikar, I., Reid, G., Cario, G., Chou, D., Almashat, D., Condous, G. 2014. Office gel sonovaginography for the prediction of posterior deep infiltrating endometriosis: a multicenter prospective observational study. Ultrasound in Obstetrics and Gynecology 44 (6) pp. 710-718. 10.1002/uog.13422 Cadair

King, R.D., Lu, C. 2014. An investigation into eukaryotic pseudouridine synthases. Journal of Bioinformatics and Computational Biology 12 (4) 10.1142/S0219720014500152 Cadair


Mongelli, M., Lu, C., Reid, S., Stamatopoulos, N., Sankaralingam, K., Casikar, I., Hardy, N.W., Condous, G. 2013. Is there a correlation between aberrant embryonic crown-rump length growth velocities and subsequent birth weights. Ultrasound in Obstetrics and Gynecology 42 (s1) pp. 13-13. 10.1002/uog.12615 Cadair


King, R.D., Liakata, M., Lu, C., Oliver, S.G., Soldatova, L.N. 2011. On the formalization and reuse of scientific research. Interface 8 (63) pp. 1440-1448. 10.1098/​rsif.2011.0029 Cadair

Bignardi, T., Burnet, S., Alhamdan, D., Lu, C., Pardey, J., Benzie, R., Condous, G. 2011. Management of women referred to an acute gynecology unit: impact of an ultrasound-based model of care. Ultrasound in Obstetrics and Gynecology 35 (3) pp. 344-348. 10.1002/uog.7523 Cadair


Dobson, P.D., Smallbone, K., Jameson, D., Simeonidis, E., Lanthaler, K., Pir, P., Lu, C., Swainston, N., Dunn, W.B., Fisher, P., Hull, D., Brown, M., Oshota, O., Stanford, N.J., Kell, D.B., King, R.D., Oliver, S.G., Stevens, R.D., Mendes, P. 2010. Further developments towards a genome-scale metabolic model of yeast. BMC Systems Biology 4 145 10.1186/1752-0509-4-145 Cadair

Pir, P., Dobson, P.D., Smallbone, K., Mendes, P., King, R.D., Lu, C., Oliver, S.G., Clare, A. 2010. Constraint-based optimisation tools for semi-automated refinement of genome-scale yeast metabolic models. Cadair

Ward, J.L., Forcat, S., Beckmann, M., Bennett, M., Miller, S.J., Baker, J.M., Hawkins, N.D., Vermeer, C.P., Lu, C., Lin, W., Truman, W.M., Beale, M.H., Draper, J., Mansfield, J.W., Grant, M. 2010. The metabolic transition during disease following infection of Arabidopsis thaliana by Pseudomonas syringae pv. tomato. Plant Journal 63 (3) pp. 443-457. 10.1111/j.1365-313X.2010.04254.x Cadair

Lu, C., Whelan, K., King, R. 2010. Report on structural comparison and validation of the genome scale metabolic models for Saccharomyces cerevisiae. European Commission Cadair

Lu, C., King, R.D. 2010. Automatic identification and restoration of reaction gaps in the consensus reconstruction network for yeast metabolism. Systems Biology of Microorganisms. Cadair Other


Lu, C., King, R.D. 2009. An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems. Bioinformatics 25 (16) pp. 2020-2027. 10.1093/bioinformatics/btp360 Cadair Other

Van Holsbeke, C., Van Calster, B., Testa, A.C., Domali, E., Lu, C., Van Huffel, S., Valentin, L., Timmerman, D. 2009. Prospective internal validation of mathematical models to predict malignancy in adnexal masses: results from the International Ovarian Tumor Analysis (IOTA) Study. Clinical Cancer Research 15 (684) pp. 684-691. 10.1158/1078-0432.CCR-08-0113 Cadair Other


Devos, A., Van Huffel, S., Lu, C., Suykens, J.A.K., Arus, C. 2007. Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis. IEEE Transactions on Information Technology in Biomedicine 11 (3) pp. 338-347. 10.1109/TITB.2006.889702 Cadair Other

Van Calster, B., Timmerman, D., Lu, C., Suykens, J.A.K., Valentin, L., Van Holsbeke, C., Amant, F., Vergote, I., Van Huffel, S. 2007. Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods. Ultrasound in Obstetrics and Gynecology 29 (5) pp. 496-504. 10.1002/uog.3996 Cadair Other