320222. Radiology and organ imaging
Title | 320222. Radiology and organ imaging |
---|---|
Parent | 3202. Clinical sciences |
Latest research outputs
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Quantitative Measurement of Erythrocyte Aggregation as a Systemic Inflammatory Marker by Ultrasound Imaging: A Systematic Review
Gyawali, Prajwal, Ziegler, Daniela, Cailhier, Jean-Franois, Denault, Andre and Cloutier, Guy. 2018. "Quantitative Measurement of Erythrocyte Aggregation as a Systemic Inflammatory Marker by Ultrasound Imaging: A Systematic Review." Ultrasound in Medicine and Biology. 44 (7), pp. 1303-1317. https://doi.org/10.1016/j.ultrasmedbio.2018.02.020Article
Effects of head geometry, coil position and CSF displacement on field distribution under transcranial magnetic stimulation
Shahid, Salman, Wen, Peng, Ahfock, Tony and Leis, John. 2011. "Effects of head geometry, coil position and CSF displacement on field distribution under transcranial magnetic stimulation." Journal of Medical Imaging and Health Informatics. 1 (3), pp. 271-277. https://doi.org/10.1166/jmihi.2011.1040Article
'ScreenIT': computerised screening of swallowing nutrition and distress in head and neck cancer patients during (chemo)radiotherapy
Wall, Laurelie R., Cartmill, Bena, Ward, Elizabeth C., Hill, Anne J., Isenring, Elizabeth, Byrnes, Joshua, Chambers, Suzanne, Dunn, Jeff, Nixon, Jodie, Whelan, Jane and Porceddu, Sandro V.. 2016. "'ScreenIT': computerised screening of swallowing nutrition and distress in head and neck cancer patients during (chemo)radiotherapy." Oral Oncology. 54, pp. 47-53. https://doi.org/10.1016/j.oraloncology.2016.01.004Article
A novel statistical algorithm for multiclass EEG signal classification
Siuly and Li, Yan. 2014. "A novel statistical algorithm for multiclass EEG signal classification." Engineering Applications of Artificial Intelligence. 34, pp. 154-167. https://doi.org/10.1016/j.engappai.2014.05.011Article
Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer
Verma, Brijesh, McLeod, Peter and Klevansky, Alan. 2010. "Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer." Expert Systems with Applications. 37 (4), pp. 3344-3351. https://doi.org/10.1016/j.eswa.2009.10.016Article
A novel soft cluster neural network for the classification of suspicious areas in digital mammograms
Verma, Brijesh, McLeod, Peter and Klevansky, Alan. 2009. "A novel soft cluster neural network for the classification of suspicious areas in digital mammograms." Pattern Recognition. 42 (9), pp. 1845-1852. https://doi.org/10.1016/j.patcog.2009.02.009Article
Epileptogenic focus detection in intracranial EEG based on delay permutation entropy
Zhu, Guohun, Li, Yan, Wen, Peng (Paul), Wang, Shuaifang and Xi, Min. 2013. "Epileptogenic focus detection in intracranial EEG based on delay permutation entropy." Sun, Changming, Bednarz, Tomasz, Pham, Tuan D., Vallotton, Pascal and Wang, Dadong (ed.) International Symposium on Computational Models for Life Sciences (CMLS 2013). Sydney, Australia 27 - 29 Nov 2013 United States. AIP Publishing. https://doi.org/10.1063/1.4824993Paper
Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification
Li, Yan and Wen, Peng (Paul). 2014. "Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification." Biomedical Engineering: Applications, Basis and Communications. 26 (3), pp. 1-10. https://doi.org/10.4015/S1016237214500409Article
Infrared camera imaging algorithm to augment CT-assisted biopsy procedures
Leis, John and Sharifi, Behrooz. 2012. "Infrared camera imaging algorithm to augment CT-assisted biopsy procedures." Wysocki, Beata J. and Wysocki, Tadeusz A. (ed.) 2012 6th International Conference on Signal Processing and Communication Systems (ICSPCS 2012). Gold Coast, Australia 12 - 14 Dec 2012 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICSPCS.2012.6507977Paper
Retinal microvascular abnormalities and subclinical magnetic resonance imaging brain infarct: a prospective study
Cheung, Ning, Mosley, Thomas, Islam, Amirul, Kawasaki, Ryo, Sharrett, A. Richey, Klein, Ronald, Coker, Laura H., Knopman, David S., Shibata, Dean K., Catellier, Diane and Wong, Tien Y.. 2010. "Retinal microvascular abnormalities and subclinical magnetic resonance imaging brain infarct: a prospective study ." Brain. 133 (7), pp. 1987-1993. https://doi.org/10.1093/brain/awq127Article
EEG analysis on skull conductivity perturbations using realistic head model
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2009. "EEG analysis on skull conductivity perturbations using realistic head model." Wen, Peng, Li, Yuefeng, Polkowski, Lech, Yao, Yiyu, Tsumoto, Shusaku and Wang, Guoyin (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_26Paper
Effects of white matter on EEG of multi-layered spherical head models
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2008. "Effects of white matter on EEG of multi-layered spherical head models." Hoque, Aminul and Choudhury, Mohammad (ed.) 5th International Conference on Electrical and Computer Engineering (ICECE 2008). Dhaka, Bangladesh 20 - 22 Dec 2008 Bangladesh. https://doi.org/10.1109/ICECE.2008.4769173Paper
Influence of white matter inhomogeneous anisotropy on EEG forward computing
Bashar, R., Li, Y. and Wen, P.. 2008. "Influence of white matter inhomogeneous anisotropy on EEG forward computing." Physical and Engineering Sciences in Medicine. 31 (2), pp. 122-130. https://doi.org/10.1007/BF03178586Article
Using invariant translation to denoise electroencephalogram signals
Walters-Williams, Janett and Li, Yan. 2011. "Using invariant translation to denoise electroencephalogram signals." American Journal of Applied Sciences. 8 (11), pp. 1122-1130. https://doi.org/10.3844/ajassp.2011.1122.1130Article
Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling
Bashar, M. R., Li, Y. and Wen, P.. 2010. "Uncertainty and sensitivity analysis for anisotropic inhomogeneous head tissue conductivity in human head modelling." Physical and Engineering Sciences in Medicine. 33 (2), pp. 145-152. https://doi.org/10.1007/s13246-010-0015-7Article
Effects of local tissue conductivity on spherical and realistic head models
Bashar, Md. Rezaul, Li, Yan and Wen, Peng. 2010. "Effects of local tissue conductivity on spherical and realistic head models." Physical and Engineering Sciences in Medicine. 33 (3), pp. 233-242. https://doi.org/10.1007/s13246-010-0027-3Article
Non-layered human head model for EEG
Wen, Peng and Li, Yan. 2003. "Non-layered human head model for EEG." IEEE EMBS Asian-Pacific Conference on Biomedical Engineering (2003). Kyoto, Japan 20 - 22 Oct 2003 Piscataway, NJ, United States.Paper
Important considerations for craniofacial mapping using laser scanners
Majid, Zulkepli, Chong, Albert K. and Setan, Halim. 2007. "Important considerations for craniofacial mapping using laser scanners." The Photogrammetric Record. 22 (120), pp. 290-308. https://doi.org/10.1111/j.1477-9730.2007.00449.xArticle
MR brain image segmentation based on self-organizing map network
Li, Yan and Chi, Zheru. 2005. "MR brain image segmentation based on self-organizing map network." International Journal of Information Technology. 11 (8), pp. 45-53.Article
Cryo-electron tomography of biological specimens
Leis, Andrew P., Beck, Martin, Gruska, Manuela, Best, Christoph, Hegerl, Reiner, Baumeister, Wolfgang and Leis, John W.. 2006. "Cryo-electron tomography of biological specimens." IEEE: Signal Processing Magazine. 23 (3), pp. 95-103. https://doi.org/10.1016/j.bbmt.2005.11.292Article