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Maxine Tan

Showing results (11-20 of 40) with videos related to

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IEEE Transactions on Medical Imaging|February 18, 2016
Association Between Changes in Mammographic Image Features and Risk for Near-Term Breast Cancer DevelopmentMaxine Tan, Bin Zheng, Joseph K Leader, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 16, 2016
Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapyFaranak Aghaei, Maxine Tan, Alan B Hollingsworth, et al.
Annals of Biomedical Engineering|April 9, 2015
Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer RiskMaxine Tan, Jiantao Pu, Samuel Cheng, et al.
Physics in Medicine and Biology|May 19, 2015
A new approach to develop computer-aided detection schemes of digital mammogramsMaxine Tan, Wei Qian, Jiantao Pu, et al.
Advances in Experimental Medicine and Biology|March 5, 2003
Contact lenses and tear film interactionsMark Willcox, Damon Pearce, Maxine Tan, et al.
Medical Physics|October 14, 2011
A novel computer-aided lung nodule detection system for CT imagesMaxine Tan, Rudi Deklerck, Bart Jansen, et al.
Computers in Biology and Medicine|August 5, 2021
CASPIANET++: A multidimensional Channel-Spatial Asymmetric attention network with Noisy Student Curriculum Learning paradigm for brain tumor segmentationAndrea Liew, Chun Cheng Lee, Boon Leong Lan, et al.
Medical Image Analysis|October 11, 2025
A new time-decay radiomics integrated network (TRINet) for breast cancer risk predictionHong Hui Yeoh, Fredrik Strand, Raphaël Phan, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 8, 2022
Gradual Self-Training via Confidence and Volume Based Domain Adaptation for Multi Dataset Deep Learning-Based Brain Metastases Detection Using Nonlocal Networks on MRI ImagesAndrea Liew, Chun Cheng Lee, Valarmathy Subramaniam, et al.
Physics in Medicine and Biology|December 22, 2018
A novel method of determining breast cancer risk using parenchymal textural analysis of mammography images on an Asian cohortMaxine Tan, Shivaani Mariapun, Cheng Har Yip, et al.
Pageof 4

Showing results (11-20 of 40) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Medical Imaging|February 18, 2016
Association Between Changes in Mammographic Image Features and Risk for Near-Term Breast Cancer DevelopmentMaxine Tan, Bin Zheng, Joseph K Leader, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 16, 2016
Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapyFaranak Aghaei, Maxine Tan, Alan B Hollingsworth, et al.
Annals of Biomedical Engineering|April 9, 2015
Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer RiskMaxine Tan, Jiantao Pu, Samuel Cheng, et al.
Physics in Medicine and Biology|May 19, 2015
A new approach to develop computer-aided detection schemes of digital mammogramsMaxine Tan, Wei Qian, Jiantao Pu, et al.
Advances in Experimental Medicine and Biology|March 5, 2003
Contact lenses and tear film interactionsMark Willcox, Damon Pearce, Maxine Tan, et al.
Medical Physics|October 14, 2011
A novel computer-aided lung nodule detection system for CT imagesMaxine Tan, Rudi Deklerck, Bart Jansen, et al.
Computers in Biology and Medicine|August 5, 2021
CASPIANET++: A multidimensional Channel-Spatial Asymmetric attention network with Noisy Student Curriculum Learning paradigm for brain tumor segmentationAndrea Liew, Chun Cheng Lee, Boon Leong Lan, et al.
Medical Image Analysis|October 11, 2025
A new time-decay radiomics integrated network (TRINet) for breast cancer risk predictionHong Hui Yeoh, Fredrik Strand, Raphaël Phan, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 8, 2022
Gradual Self-Training via Confidence and Volume Based Domain Adaptation for Multi Dataset Deep Learning-Based Brain Metastases Detection Using Nonlocal Networks on MRI ImagesAndrea Liew, Chun Cheng Lee, Valarmathy Subramaniam, et al.
Physics in Medicine and Biology|December 22, 2018
A novel method of determining breast cancer risk using parenchymal textural analysis of mammography images on an Asian cohortMaxine Tan, Shivaani Mariapun, Cheng Har Yip, et al.
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