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Publications of Mengliu Zhao at Hamarneh Lab
Thesis
  1. Mengliu Zhao. Encoding Anatomical Tree Priors for Tubular Structure Extraction for Medical Images Analysis. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, April 2020. [bibtex-key = phd2020zhao]


Articles in journal, book chapters
  1. Mengliu Zhao, Jeremy Kawahara, Kumar Abhishek, Sajjad Shamanian, and Ghassan Hamarneh. Skin3D: Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Textured Meshes (Zhao and Kawahara: Joint first authors). Medical Image Analysis (MedIA), 77(102329):1-10, 2022. Keyword(s): Dermatology, Machine Learning, Deep Learning, Optimization, Registration and Matching, Graph based, Tracking, Datasets. [bibtex-key = media2022]


Conference articles
  1. Mengliu Zhao, Jeremy Kawahara, Sajjad Shamanian, Kumar Abhishek, and Ghassan Hamarneh. Computerized Localization and Tracking of Pigmented Skin Lesions on 3D Whole Body Textured Skin Meshes (Zhao and Kawahara: Joint first authors). In UBC Dermatology and Skin Science: Skin Research Day, 2021. Keyword(s): Deep Learning, Tracking, Dermatology. [bibtex-key = skin2021a]


  2. Mengliu Zhao, Sajjad Shamanian, Priyanka Chandrashekar, Kumar Abhishek, Jeremy Kawahara, and Ghassan Hamarneh. Acquisition and Analysis of 3D Whole Body Skin Images for Dermatological Studies. In The 2nd Annual Tri-Cluster Research Day, Canada, pages 1, 2020. Keyword(s): Deep Learning, Dermatology. [bibtex-key = tricluster2020a]


  3. Mengliu Zhao, Sajjad Shamanian, Priyanka Chandrashekar, Kumar Abhishek, Jeremy Kawahara, and Ghassan Hamarneh. Skin Lesion Localization and Tracking on 3D Whole Body Colored Surface Images. In Centre for Artificial Intelligence Decision-making and Action (CAIDA), BC's AI Showcase, Canada, pages 1, 2020. Keyword(s): Deep Learning, Dermatology. [bibtex-key = caida2020a]


  4. Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, and Ghassan Hamarneh. WhiteNNer - Blind Image Denoising via Noise Whiteness Priors. In International Conference on Computer Vision workshop on Visual Recognition for Medical Images (ICCV VRMI), pages 476-484, 2019. Keyword(s): Microscopy, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = iccv_vrmi2019b]


  5. Mengliu Zhao and Ghassan Hamarneh. Retinal Image Classification via Vasculature-guided Sequential Attention. In International Conference on Computer Vision workshop on Visual Recognition for Medical Images (ICCV VRMI), pages 381-387, 2019. Keyword(s): Anatomical Trees and Tubular Structures, Classification, Shape Modelling and Analysis, Machine Learning, Deep Learning. [bibtex-key = iccv_vrmi2019a]


  6. Mengliu Zhao and Ghassan Hamarneh. Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 11861, pages 637-645, 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation, Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Bifurcation/Junction. [bibtex-key = miccai_mlmi2019a]


  7. Mengliu Zhao and Ghassan Hamarneh. TreeNet: Multi-Loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical Trees. In Medical Image Computing and Computer-Assisted Intervention Workshop on Deep Learning in Medical Image Analysis (MICCAI DLMIA), volume 11045, pages 47-55, 2018. Keyword(s): Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Machine Learning, Deep Learning, Bifurcation/Junction. [bibtex-key = miccai_dlmia2018]


  8. Zahra Mirikharaji, Mengliu Zhao, and Ghassan Hamarneh. Globally-Optimal Anatomical Tree Extraction from 3D Medical Images using Pictorial Structures and Minimal Paths. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Optimization, Bifurcation/Junction. [bibtex-key = healthtech2017e]


  9. Zahra Mirikharaji, Mengliu Zhao, and Ghassan Hamarneh. Globally-Optimal Anatomical Tree Extraction from 3D Medical Images using Pictorial Structures and Minimal Paths (Mirikharaji and Zhao: Joint first authors). In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 10434, pages 242-250, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Optimization, Bifurcation/Junction. [bibtex-key = miccai2017a]


  10. Mengliu Zhao and Ghassan Hamarneh. Bifurcation Localization in 3D Images via Evolutionary Geometric Deformable Templates. In Canadian Conference on Computer and Robot Vision (CRV), pages 124-130, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Deformable Models, Shape Modelling and Analysis, Bifurcation/Junction. [bibtex-key = crv2017a]


  11. Mengliu Zhao, Brandon Miles, and Ghassan Hamarneh. Leveraging Tree Statistics for Extracting Anatomical Trees from 3D Medical Images. In Canadian Conference on Computer and Robot Vision (CRV), pages 131-138, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Bifurcation/Junction. [bibtex-key = crv2017b]


  12. Mengliu Zhao, Brandon Miles, and Ghassan Hamarneh. Tree Structure Analysis in 3D Medical Images. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Bifurcation/Junction. [bibtex-key = healthtech2017f]


  13. Mengliu Zhao and Ghassan Hamarneh. Bifurcation Detection in 3D Vascular Images Using Novel Features and Random Forest. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 421-424, 2014. Keyword(s): Anatomical Trees and Tubular Structures, Machine Learning, Bifurcation/Junction. [bibtex-key = isbi2014a]


Internal reports
  1. Mengliu Zhao, Jeremy Kawahara, Sajjad Shamanian, Kumar Abhishek, Priyanka Chandrashekar, and Ghassan Hamarneh. Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Skin Textured Meshes (Zhao and Kawahara: Joint first authors). Technical report arXiv:2105.00374, 5 2021. Keyword(s): Dermatology, Machine Learning, Deep Learning, Optimization, Registration and Matching, Graph based, Tracking. [bibtex-key = arxiv:2105.00374]



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Last modified: Wed Mar 27 16:05:02 2024
Author: hamarneh.


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