Automated feature selection in neuroevolution. - Maxine Tan; Michael Hartley; Michel Bister; Rudi Deklerck (Evol. Intell., 2009)

Accelerometer based Gait Analysis - Multi Variate Assessment of Fall Risk with FD-NEAT. - Bart Jansen 001; Maxine Tan; Ivan Bautmans; Bart Van Keymolen; Tony Mets; Rudi Deklerck (BIOSIGNALS, 2011)

Histogram analysis of CT scans for patients with post-mastectomy lymphedema. - Maxine Tan; Rudi Deklerck; An Tassenoy; Jan Cornelis 001; Johan de Mey; Nico Buls (ICIP, 2011)

Analysis of a feature-deselective neuroevolution classifier (FD-NEAT) in a computer-aided lung nodule detection system for CT images. - Maxine Tan; Rudi Deklerck; Bart Jansen 001; Jan Cornelis 001 (GECCO (Companion), 2012)

Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules. - Maxine Tan; Rudi Deklerck; Jan Cornelis 001; Bart Jansen 001 (Artif. Intell. Medicine, 2013)

A new mass classification system derived from multiple features and a trained MLP model. - Maxine Tan; Jiantao Pu; Bin Zheng 001 (Computer-Aided Diagnosis, 2014)

Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. - Maxine Tan; Jiantao Pu; Bin Zheng 001 (Int. J. Comput. Assist. Radiol. Surg., 2014)

A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study. - Sreeram Dhurjaty; Yuchen Qiu; Maxine Tan; Hong Liu 003; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy. - Faranak Aghaei; Maxine Tan; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment. - Rohith Reddy Gundreddy; Maxine Tan; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study. - Yuchen Qiu; Maxine Tan; Scott D. McMeekin; Theresa C. Thai; Kathleen N. Moore; Kai Ding; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment. - Maxine Tan; Joseph K. Leader; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

A new CAD approach for improving efficacy of cancer screening. - Bin Zheng 001; Wei Qian 001; Lihua Li 002; Jiantao Pu; Yan Kang; Fleming Lure; Maxine Tan; Yuchen Qiu (Computer-Aided Diagnosis, 2015)

An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study. - Yuchen Qiu; Xianglan Lu; Maxine Tan; Shibo Li; Hong Liu 003; Bin Zheng 001 (Digital Pathology, 2015)

Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment. - Faranak Aghaei; Maxine Tan; Alan B. Hollingsworth; Bin Zheng 001; Samuel Cheng 001 (Computer-Aided Diagnosis, 2016)

An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology. - Yuchen Qiu; Yunzhi Wang 002; Shiju Yan; Maxine Tan; Samuel Cheng 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study. - Yuchen Qiu; Shiju Yan; Maxine Tan; Samuel Cheng 001; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms. - Maxine Tan; Faranak Aghaei; Alan B. Hollingsworth; Rebecca G. Stough; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method. - Maxine Tan; Faranak Aghaei; Yunzhi Wang 002; Wei Qian 001; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients. - Maxine Tan; Zheng Li; Kathleen N. Moore; Theresa C. Thai; Kai Ding; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. - Nastaran Emaminejad; Wei Qian 001; Yubao Guan; Maxine Tan; Yuchen Qiu; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2016)

A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. - Maxine Tan; Zheng Li; Yuchen Qiu; Scott D. McMeekin; Theresa C. Thai; Kai Ding; Kathleen N. Moore; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Medical Imaging, 2016)

Gated-Dilated Networks for Lung Nodule Classification in CT Scans. - Mundher Al-Shabi; Hwee Kuan Lee; Maxine Tan (IEEE Access, 2019)

Lung nodule classification using deep Local-Global networks. - Mundher Al-Shabi; Boon Leong Lan; Wai-Yee Chan; Kwan-Hoong Ng; Maxine Tan (Int. J. Comput. Assist. Radiol. Surg., 2019)

Cribriform pattern detection in prostate histopathological images using deep learning models. - Malay Singh; Emarene Mationg Kalaw; Jie Wang 042; Mundher Al-Shabi; Chin Fong Wong; Danilo Medina Giron; Kian-Tai Chong; Maxine Tan; Zeng Zeng; Hwee Kuan Lee (CoRR, 2019)

A new semi-supervised self-training method for lung cancer prediction. - Kelvin Shak; Mundher Al-Shabi; Andrea Liew; Boon Leong Lan; Wai-Yee Chan; Kwan-Hoong Ng; Maxine Tan (CoRR, 2020)

3D axial-attention for lung nodule classification. - Mundher Al-Shabi; Kelvin Shak; Maxine Tan (Int. J. Comput. Assist. Radiol. Surg., 2021)

CASPIANET++: A multidimensional Channel-Spatial Asymmetric attention network with Noisy Student Curriculum Learning paradigm for brain tumor segmentation. - Andrea Liew; Chun Cheng Lee; Boon Leong Lan; Maxine Tan (Comput. Biol. Medicine, 2021)

Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment. - Maxine Tan; Mundher Al-Shabi; Wai-Yee Chan; Leya Thomas; Kartini Rahmat; Kwan-Hoong Ng (Medical Biol. Eng. Comput., 2021)

ProCAN: Progressive growing channel attentive non-local network for lung nodule classification. - Mundher Al-Shabi; Kelvin Shak; Maxine Tan (Pattern Recognit., 2022)

RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement. - Hong Hui Yeoh; Andrea Liew; Raphael C.-W. Phan; Fredrik Strand; Kartini Rahmat; Tuong Linh Nguyen; John L. Hopper; Maxine Tan (CoRR, 2023)