Maxine Tan

37 papers B 1Journal 20Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction.
Medical Image Anal.
Hong Hui Yeoh, Fredrik Strand, Raphael C.-W. Phan, Kartini Rahmat, Maxine Tan
2023 J jnl
RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement.
CoRR
Hong Hui Yeoh, Andrea Liew, Raphael C.-W. Phan, Fredrik Strand, Kartini Rahmat, Tuong Linh Nguyen, John L. Hopper, Maxine Tan
2022 J jnl
ProCAN: Progressive growing channel attentive non-local network for lung nodule classification.
Pattern Recognit.
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
2021 J jnl
3D axial-attention for lung nodule classification.
Int. J. Comput. Assist. Radiol. Surg.
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
2021 J jnl
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation.
CoRR
Andrea Liew, Chun Cheng Lee, Boon Leong Lan, Maxine Tan
2021 J jnl
CASPIANET++: A multidimensional Channel-Spatial Asymmetric attention network with Noisy Student Curriculum Learning paradigm for brain tumor segmentation.
Comput. Biol. Medicine
Andrea Liew, Chun Cheng Lee, Boon Leong Lan, Maxine Tan
2021 J jnl
Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment.
Medical Biol. Eng. Comput.
Maxine Tan, Mundher Al-Shabi, Wai-Yee Chan, Leya Thomas, Kartini Rahmat, Kwan-Hoong Ng
2020 J jnl
3D Axial-Attention for Lung Nodule Classification.
CoRR
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
2020 J jnl
A new semi-supervised self-training method for lung cancer prediction.
CoRR
Kelvin Shak, Mundher Al-Shabi, Andrea Liew, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan
2020 J jnl
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification.
CoRR
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
2019 J jnl
Cribriform pattern detection in prostate histopathological images using deep learning models.
CoRR
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
2019 J jnl
Gated-Dilated Networks for Lung Nodule Classification in CT Scans.
IEEE Access
Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan
2019 J jnl
Gated-Dilated Networks for Lung Nodule Classification in CT scans.
CoRR
Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan
2019 J jnl
Lung Nodule Classification using Deep Local-Global Networks.
CoRR
Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan
2019 J jnl
Lung nodule classification using deep Local-Global networks.
Int. J. Comput. Assist. Radiol. Surg.
Mundher Al-Shabi, Boon Leong Lan, Wai-Yee Chan, Kwan-Hoong Ng, Maxine Tan
2016 — conf
A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients.
Computer-Aided Diagnosis
Maxine Tan, Zheng Li, Kathleen N. Moore, Theresa C. Thai, Kai Ding, Hong Liu, Bin Zheng
2016 J jnl
A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration.
IEEE Trans. Medical Imaging
Maxine Tan, Zheng Li, Yuchen Qiu, Scott D. McMeekin, Theresa C. Thai, Kai Ding, Kathleen N. Moore, Hong Liu, Bin Zheng
2016 — conf
An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology.
Computer-Aided Diagnosis
Yuchen Qiu, Yunzhi Wang, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
2016 — conf
Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study.
Computer-Aided Diagnosis
Yuchen Qiu, Shiju Yan, Maxine Tan, Samuel Cheng, Hong Liu, Bin Zheng
2016 — conf
Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment.
Computer-Aided Diagnosis
Faranak Aghaei, Maxine Tan, Alan B. Hollingsworth, Bin Zheng, Samuel Cheng
2016 J jnl
Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients.
IEEE Trans. Biomed. Eng.
Nastaran Emaminejad, Wei Qian, Yubao Guan, Maxine Tan, Yuchen Qiu, Hong Liu, Bin Zheng
2016 — conf
Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method.
Computer-Aided Diagnosis
Maxine Tan, Faranak Aghaei, Yunzhi Wang, Wei Qian, Bin Zheng
2016 — conf
Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms.
Computer-Aided Diagnosis
Maxine Tan, Faranak Aghaei, Alan B. Hollingsworth, Rebecca G. Stough, Hong Liu, Bin Zheng
2015 — conf
A new CAD approach for improving efficacy of cancer screening.
Computer-Aided Diagnosis
Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Lure, Maxine Tan, Yuchen Qiu
2015 — conf
A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment.
Computer-Aided Diagnosis
Rohith Reddy Gundreddy, Maxine Tan, Yuchen Qiu, Bin Zheng
2015 — conf
A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Sreeram Dhurjaty, Yuchen Qiu, Maxine Tan, Hong Liu, Bin Zheng
2015 — conf
An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study.
Digital Pathology
Yuchen Qiu, Xianglan Lu, Maxine Tan, Shibo Li, Hong Liu, Bin Zheng
2015 — conf
Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment.
Computer-Aided Diagnosis
Maxine Tan, Joseph K. Leader, Hong Liu, Bin Zheng
2015 — conf
Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy.
Computer-Aided Diagnosis
Faranak Aghaei, Maxine Tan, Bin Zheng
2015 — conf
Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study.
Computer-Aided Diagnosis
Yuchen Qiu, Maxine Tan, Scott D. McMeekin, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
2014 — conf
A new mass classification system derived from multiple features and a trained MLP model.
Computer-Aided Diagnosis
Maxine Tan, Jiantao Pu, Bin Zheng
2014 J jnl
Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.
Int. J. Comput. Assist. Radiol. Surg.
Maxine Tan, Jiantao Pu, Bin Zheng
2013 J jnl
Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules.
Artif. Intell. Medicine
Maxine Tan, Rudi Deklerck, Jan Cornelis, Bart Jansen
2012 — conf
Analysis of a feature-deselective neuroevolution classifier (FD-NEAT) in a computer-aided lung nodule detection system for CT images.
GECCO (Companion)
Maxine Tan, Rudi Deklerck, Bart Jansen, Jan Cornelis
2011 — conf
Accelerometer based Gait Analysis - Multi Variate Assessment of Fall Risk with FD-NEAT.
BIOSIGNALS
Bart Jansen, Maxine Tan, Ivan Bautmans, Bart Van Keymolen, Tony Mets, Rudi Deklerck
2011 B conf
Histogram analysis of CT scans for patients with post-mastectomy lymphedema.
ICIP
Maxine Tan, Rudi Deklerck, An Tassenoy, Jan Cornelis, Johan de Mey, Nico Buls
2009 J jnl
Automated feature selection in neuroevolution.
Evol. Intell.
Maxine Tan, Michael Hartley, Michel Bister, Rudi Deklerck