Maxine Tan

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 29

Top Topics

Deformable Image Registration

Cancer Patients

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Int. J. Comput. Assist. Radiol. Surg.

Artif. Intell. Medicine

Publications

Hong Hui Yeoh, Andrea Liew, Raphael C.-W. Phan, Fredrik Strand, Kartini Rahmat, Tuong Linh Nguyen, John L. Hopper, Maxine Tan
RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement. CoRR (2023)
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
ProCAN: Progressive growing channel attentive non-local network for lung nodule classification. Pattern Recognit. 122 (2022)
Maxine Tan, Mundher Al-Shabi, Wai-Yee Chan, Leya Thomas, Kartini Rahmat, Kwan-Hoong Ng
Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment. Medical Biol. Eng. Comput. 59 (2) (2021)
Andrea Liew, Chun Cheng Lee, Boon Leong Lan, Maxine Tan
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation. CoRR (2021)
Andrea Liew, Chun Cheng Lee, Boon Leong Lan, Maxine Tan
CASPIANET++: A multidimensional Channel-Spatial Asymmetric attention network with Noisy Student Curriculum Learning paradigm for brain tumor segmentation. Comput. Biol. Medicine 136 (2021)
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
3D axial-attention for lung nodule classification. Int. J. Comput. Assist. Radiol. Surg. 16 (8) (2021)
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
3D Axial-Attention for Lung Nodule Classification. CoRR (2020)
Kelvin Shak, Mundher Al-Shabi, Andrea Liew, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan
A new semi-supervised self-training method for lung cancer prediction. CoRR (2020)
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification. CoRR (2020)
Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan
Lung Nodule Classification using Deep Local-Global Networks. CoRR (2019)
Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan
Gated-Dilated Networks for Lung Nodule Classification in CT scans. CoRR (2019)
Malay Singh, Emarene Mationg Kalaw, Jie Wang, Mundher Al-Shabi, Chin Fong Wong, Danilo Medina Giron, Kian-Tai Chong, Maxine Tan, Zeng Zeng, Hwee Kuan Lee
Cribriform pattern detection in prostate histopathological images using deep learning models. CoRR (2019)
Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan
Gated-Dilated Networks for Lung Nodule Classification in CT Scans. IEEE Access 7 (2019)
Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan
Lung nodule classification using deep Local-Global networks. Int. J. Comput. Assist. Radiol. Surg. 14 (10) (2019)
Nastaran Emaminejad, Wei Qian, Yubao Guan, Maxine Tan, Yuchen Qiu, Hong Liu, Bin Zheng
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. IEEE Trans. Biomed. Eng. 63 (5) (2016)
Yuchen Qiu, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2016)
Maxine Tan, Zheng Li, Yuchen Qiu, Scott D. McMeekin, Theresa C. Thai, Kai Ding, Kathleen N. Moore, Hong Liu, Bin Zheng
A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration. IEEE Trans. Medical Imaging 35 (1) (2016)
Faranak Aghaei, Maxine Tan, Alan B. Hollingsworth, Bin Zheng, Samuel Cheng
Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment. Medical Imaging: Computer-Aided Diagnosis (2016)
Maxine Tan, Faranak Aghaei, Yunzhi Wang, Wei Qian, Bin Zheng
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method. Medical Imaging: Computer-Aided Diagnosis (2016)
Maxine Tan, Faranak Aghaei, Alan B. Hollingsworth, Rebecca G. Stough, Hong Liu, Bin Zheng
Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms. Medical Imaging: Computer-Aided Diagnosis (2016)
Maxine Tan, Zheng Li, Kathleen N. Moore, Theresa C. Thai, Kai Ding, Hong Liu, Bin Zheng
A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients. Medical Imaging: Computer-Aided Diagnosis (2016)
Yuchen Qiu, Yunzhi Wang, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology. Medical Imaging: Computer-Aided Diagnosis (2016)
Yuchen Qiu, Xianglan Lu, Maxine Tan, Shibo Li, Hong Liu, Bin Zheng
An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study. Medical Imaging: Digital Pathology (2015)
Sreeram Dhurjaty, Yuchen Qiu, Maxine Tan, Hong Liu, Bin Zheng
A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2015)
Yuchen Qiu, Maxine Tan, Scott D. McMeekin, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study. Medical Imaging: Computer-Aided Diagnosis (2015)
Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
A new CAD approach for improving efficacy of cancer screening. Medical Imaging: Computer-Aided Diagnosis (2015)
Faranak Aghaei, Maxine Tan, Bin Zheng
Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy. Medical Imaging: Computer-Aided Diagnosis (2015)
Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qiu, Bin Zheng
A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment. Medical Imaging: Computer-Aided Diagnosis (2015)
Maxine Tan, Joseph K. Leader, Hong Liu, Bin Zheng
Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment. Medical Imaging: Computer-Aided Diagnosis (2015)
Maxine Tan, Jiantao Pu, Bin Zheng
A new mass classification system derived from multiple features and a trained MLP model. Medical Imaging: Computer-Aided Diagnosis (2014)
Maxine Tan, Jiantao Pu, Bin Zheng
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. Int. J. Comput. Assist. Radiol. Surg. 9 (6) (2014)
Maxine Tan, Rudi Deklerck, Jan Cornelis, Bart Jansen
Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules. Artif. Intell. Medicine 59 (3) (2013)
Maxine Tan, Rudi Deklerck, Bart Jansen, Jan Cornelis
Analysis of a feature-deselective neuroevolution classifier (FD-NEAT) in a computer-aided lung nodule detection system for CT images. GECCO (Companion) (2012)
Maxine Tan, Rudi Deklerck, An Tassenoy, Jan Cornelis, Johan de Mey, Nico Buls
Histogram analysis of CT scans for patients with post-mastectomy lymphedema. ICIP (2011)
Bart Jansen, Maxine Tan, Ivan Bautmans, Bart Van Keymolen, Tony Mets, Rudi Deklerck
Accelerometer based Gait Analysis - Multi Variate Assessment of Fall Risk with FD-NEAT. BIOSIGNALS (2011)
Maxine Tan, Michael Hartley, Michel Bister, Rudi Deklerck
Automated feature selection in neuroevolution. Evol. Intell. 1 (4) (2009)