Yasmeen George
Lecturer - Faculty of IT at Monash University
Research Interests
About
Publications
Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images
IEEE Systems Journal / Sep 01, 2014
George, Y. M., Zayed, H. H., Roushdy, M. I., & Elbagoury, B. M. (2014). Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images. IEEE Systems Journal, 8(3), 949–964. https://doi.org/10.1109/jsyst.2013.2279415
Automated cell nuclei segmentation for breast fine needle aspiration cytology
Signal Processing / Oct 01, 2013
George, Y. M., Bagoury, B. M., Zayed, H. H., & Roushdy, M. I. (2013). Automated cell nuclei segmentation for breast fine needle aspiration cytology. Signal Processing, 93(10), 2804–2816. https://doi.org/10.1016/j.sigpro.2012.07.034
Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images
IEEE Journal of Biomedical and Health Informatics / Dec 01, 2020
George, Y., Antony, B. J., Ishikawa, H., Wollstein, G., Schuman, J. S., & Garnavi, R. (2020). Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images. IEEE Journal of Biomedical and Health Informatics, 24(12), 3421–3430. https://doi.org/10.1109/jbhi.2020.3001019
Skin Hair Removal for 2D Psoriasis Images
2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) / Nov 01, 2015
George, Y., Aldeen, M., & Garnavi, R. (2015). Skin Hair Removal for 2D Psoriasis Images. 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). https://doi.org/10.1109/dicta.2015.7371308
Real-time spatio-temporal event detection on geotagged social media
Journal of Big Data / Jun 24, 2021
George, Y., Karunasekera, S., Harwood, A., & Lim, K. H. (2021). Real-time spatio-temporal event detection on geotagged social media. Journal of Big Data, 8(1). https://doi.org/10.1186/s40537-021-00482-2
Automatic psoriasis lesion segmentation in two-dimensional skin images using multiscale superpixel clustering
Journal of Medical Imaging / Nov 10, 2017
George, Y., Aldeen, M., & Garnavi, R. (2017). Automatic psoriasis lesion segmentation in two-dimensional skin images using multiscale superpixel clustering. Journal of Medical Imaging, 4(04), 1. https://doi.org/10.1117/1.jmi.4.4.044004
Pixel-based skin segmentation in psoriasis images
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Aug 01, 2016
George, Y., Aldeen, M., & Garnavi, R. (2016). Pixel-based skin segmentation in psoriasis images. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2016.7590958
Psoriasis image representation using patch-based dictionary learning for erythema severity scoring
Computerized Medical Imaging and Graphics / Jun 01, 2018
George, Y., Aldeen, M., & Garnavi, R. (2018). Psoriasis image representation using patch-based dictionary learning for erythema severity scoring. Computerized Medical Imaging and Graphics, 66, 44–55. https://doi.org/10.1016/j.compmedimag.2018.02.004
Automatic Scale Severity Assessment Method in Psoriasis Skin Images Using Local Descriptors
IEEE Journal of Biomedical and Health Informatics / Feb 01, 2020
George, Y., Aldeen, M., & Garnavi, R. (2020). Automatic Scale Severity Assessment Method in Psoriasis Skin Images Using Local Descriptors. IEEE Journal of Biomedical and Health Informatics, 24(2), 577–585. https://doi.org/10.1109/jbhi.2019.2910883
A Coarse-to-Fine 3D U-Net Network for Semantic Segmentation of Kidney CT Scans
Lecture Notes in Computer Science / Jan 01, 2022
George, Y. (2022). A Coarse-to-Fine 3D U-Net Network for Semantic Segmentation of Kidney CT Scans. Kidney and Kidney Tumor Segmentation, 137–142. https://doi.org/10.1007/978-3-030-98385-7_18
A Pixel-Based Skin Segmentation in Psoriasis Images Using Committee of Machine Learning Classifiers
2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA) / Nov 01, 2017
George, Y., Aldeen, M., & Garnavi, R. (2017). A Pixel-Based Skin Segmentation in Psoriasis Images Using Committee of Machine Learning Classifiers. 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA). https://doi.org/10.1109/dicta.2017.8227398
Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media
2019 IEEE International Conference on Big Data (Big Data) / Dec 01, 2019
George, Y., Karunasekera, S., Harwood, A., & Li, K. H. (2019). Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media. 2019 IEEE International Conference on Big Data (Big Data). https://doi.org/10.1109/bigdata47090.2019.9006284
Geotagging tweets to landmarks using convolutional neural networks with text and posting time
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion / Mar 16, 2019
Lim, K. H., Karunasekera, S., Harwood, A., & George, Y. (2019). Geotagging tweets to landmarks using convolutional neural networks with text and posting time. Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. https://doi.org/10.1145/3308557.3308691
Automatic Nipple Detection Method for Digital Skin Images with Psoriasis Lesions
2019 Digital Image Computing: Techniques and Applications (DICTA) / Dec 01, 2019
George, Y., Aldeen, M., & Garnavi, R. (2019). Automatic Nipple Detection Method for Digital Skin Images with Psoriasis Lesions. 2019 Digital Image Computing: Techniques and Applications (DICTA). https://doi.org/10.1109/dicta47822.2019.8945944
3D-CNN for Glaucoma Detection Using Optical Coherence Tomography
Ophthalmic Medical Image Analysis / Jan 01, 2019
George, Y., Antony, B., Ishikawa, H., Wollstein, G., Schuman, J., & Garnavi, R. (2019). 3D-CNN for Glaucoma Detection Using Optical Coherence Tomography. Lecture Notes in Computer Science, 52–59. https://doi.org/10.1007/978-3-030-32956-3_7
Kidney and Kidney Tumor Segmentation
Lecture Notes in Computer Science / Jan 01, 2022
Heller, N., Isensee, F., Trofimova, D., Tejpaul, R., Papanikolopoulos, N., & Weight, C. (Eds.). (2022). Kidney and Kidney Tumor Segmentation. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-98385-7
Dueling Deep Q-Network For Unsupervised Inter-Frame Eye Movement Correction In Optical Coherence Tomography Volumes
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) / Apr 13, 2021
George, Y., Sedai, S., Antony, B. J., Ishikawa, H., Wollstein, G., Schuman, J. S., & Garnavi, R. (2021). Dueling Deep Q-Network For Unsupervised Inter-Frame Eye Movement Correction In Optical Coherence Tomography Volumes. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/isbi48211.2021.9434124
Automatic spreader-container alignment system using infrared structured lights
Applied Optics / May 23, 2012
Liu, Y., Wang, Y., Lv, J., & Zhang, M. (2012). Automatic spreader-container alignment system using infrared structured lights. Applied Optics, 51(16), 3205. https://doi.org/10.1364/ao.51.003205
Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes
Ophthalmology Glaucoma / Jan 01, 2020
Sedai, S., Antony, B., Ishikawa, H., Wollstein, G., Schuman, J. S., & Garnavi, R. (2020). Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes. Ophthalmology Glaucoma, 3(1), 14–24. https://doi.org/10.1016/j.ogla.2019.11.001
Pseudolymphoma induced by secukinumab for treatment of chronic plaque psoriasis
Australasian Journal of Dermatology / Feb 21, 2019
Cranwell, W. C., Doolan, B. J., Radulski, B., Nicolopoulos, J., & Dolianitis, C. (2019). Pseudolymphoma induced by secukinumab for treatment of chronic plaque psoriasis. Australasian Journal of Dermatology, 60(3). Portico. https://doi.org/10.1111/ajd.13009
The application of multi-modality medical image fusion based method to cerebral infarction
EURASIP Journal on Image and Video Processing / Aug 16, 2017
Dai, Y., Zhou, Z., & Xu, L. (2017). The application of multi-modality medical image fusion based method to cerebral infarction. EURASIP Journal on Image and Video Processing, 2017(1). https://doi.org/10.1186/s13640-017-0204-3
Education
University of Melbourne
Ph.D., Electrical and Electronic Engineering
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