Chuan Lu BEng (Tianjin, China), MSc (Leuven, Belgium), PhD(Leuven)
Room Number..........:  E43
Phone.......................:   +44 (0)1970 628405
Home Page...............:   Personal
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 Cadair2017.
The morphological ultrasound types known as ‘blob’ and ‘bagel’ signs should be reclassified from probable to definite ectopic pregnancy. Ultrasound in Obstetrics and Gynecology Cadair2017.
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. Cadair2016.
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. Cadair2016.
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. Cadair2016.
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. Cadair2016.
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. Cadair2016.
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. Cadair2015.
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. Cadair2014.
An investigation into eukaryotic pseudouridine synthases. Journal of Bioinformatics and Computational Biology 12 (4) Cadair2014.
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. Cadair2013.
On the formalization and reuse of scientific research. Interface 8 (63) pp. 1440-1448. Cadair2011.
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. 344-348.2011.
Further developments towards a genome-scale metabolic model of yeast. BMC Systems Biology 4 1452010.
Constraint-based optimisation tools for semi-automated refinement of genome-scale yeast metabolic models.2010.
The metabolic transition during disease following infection of Arabidopsis thaliana by Pseudomonas syringae pv. tomato. Plant Journal 63 (3) pp. 443-457.2010.
Report on structural comparison and validation of the genome scale metabolic models for Saccharomyces cerevisiae. European Commission2010.
Automatic identification and restoration of reaction gaps in the consensus reconstruction network for yeast metabolism. Systems Biology of Microorganisms.2010.
An investigation into the population abundance distribution of mRNAs, proteins, and metabolites in biological systems. Bioinformatics 25 (16) pp. 2020-2027.2009.
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. 684-691.2009.
Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis. IEEE Transactions on Information Technology in Biomedicine 11 (3) pp. 338-347.2007.
Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods. Ultrasound in Obstetrics and Gynecology 29 (5) pp. 496-504.2007.