Maxine Tan
Title
Cited by
Cited by
Year
A novel computer‐aided lung nodule detection system for CT images
M Tan, R Deklerck, B Jansen, M Bister, J Cornelis
Medical physics 38 (10), 5630-5645, 2011
2392011
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients
N Emaminejad, W Qian, Y Guan, M Tan, Y Qiu, H Liu, B Zheng
IEEE Transactions on Biomedical Engineering, 2015
842015
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model
M Tan, J Pu, B Zheng
International journal of computer assisted radiology and surgery 9 (6), 1005 …, 2014
672014
Association between Changes in Mammographic Image Features and Risk for Near-term Breast Cancer Development
M Tan, B Zheng, J Leader, D Gur
IEEE Transactions on Medical Imaging, 2016
582016
Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy
F Aghaei, M Tan, AB Hollingsworth, B Zheng
Journal of Magnetic Resonance Imaging 44 (5), 1099-1106, 2016
572016
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology
Y Qiu, Y Wang, S Yan, M Tan, S Cheng, H Liu, B Zheng
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 978521, 2016
572016
Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry
M Tan, B Zheng, P Ramalingam, D Gur
Academic radiology 20 (12), 1542-1550, 2013
422013
Computer‐aided breast MR image feature analysis for prediction of tumor response to chemotherapy
F Aghaei, M Tan, AB Hollingsworth, W Qian, H Liu, B Zheng
Medical Physics 42 (11), 6520-6528, 2015
412015
Assessment of a four-view mammographic image feature based fusion model to predict near-term breast cancer risk
M Tan, J Pu, S Cheng, H Liu, B Zheng
Annals of biomedical engineering 43 (10), 2416-2428, 2015
402015
Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme
M Tan, J Pu, B Zheng
Physics in Medicine & Biology 59 (15), 4357, 2014
342014
A new approach to develop computer-aided detection schemes of digital mammograms
M Tan, W Qian, J Pu, H Liu, B Zheng
Physics in Medicine & Biology 60 (11), 4413, 2015
312015
Phased searching with NEAT in a time-scaled framework: experiments on a computer-aided detection system for lung nodules
M Tan, R Deklerck, J Cornelis, B Jansen
Artificial intelligence in medicine 59 (3), 157-167, 2013
312013
Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis
Y Qiu, M Tan, S McMeekin, T Thai, K Ding, K Moore, H Liu, B Zheng
Acta Radiologica 57 (9), 1149-1155, 2016
302016
Association between computed tissue density asymmetry in bilateral mammograms and near‐term breast cancer risk
B Zheng, M Tan, P Ramalingam, D Gur
The breast journal 20 (3), 249-257, 2014
292014
Automated feature selection in neuroevolution
M Tan, M Hartley, M Bister, R Deklerck
Evolutionary Intelligence 1 (4), 271-292, 2009
272009
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study
Y Qiu, S Yan, M Tan, S Cheng, H Liu, B Zheng
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 978520, 2016
252016
Lung nodule classification using deep local–global networks
M Al-Shabi, BL Lan, WY Chan, KH Ng, M Tan
International journal of computer assisted radiology and surgery 14 (10 …, 2019
212019
A new approach to evaluate drug treatment response of ovarian cancer patients based on deformable image registration
M Tan, Z Li, Y Qiu, SD McMeekin, TC Thai, K Ding, KN Moore, H Liu, ...
IEEE Transactions on Medical Imaging 35 (1), 316-325, 2016
202016
Assessment of performance and reproducibility of applying a content‐based image retrieval scheme for classification of breast lesions
RR Gundreddy, M Tan, Y Qiu, S Cheng, H Liu, B Zheng
Medical physics 42 (7), 4241-4249, 2015
202015
Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions
M Tan, F Aghaei, Y Wang, B Zheng
Physics in Medicine & Biology 62 (2), 358, 2016
172016
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