Yasmeen George

Lecturer - Faculty of IT at Monash University

Research Expertise

Artificial Intelligence

Deep/Machine Learning

Image/Data Analytics

Healthcare Analytics

Natural Language Processing

Electrical and Electronic Engineering

Control and Systems Engineering

Computer Networks and Communications

Computer Science Applications

Information Systems

Computer Vision and Pattern Recognition

Signal Processing

Software

Health Information Management

Biotechnology

Information Systems and Management

Hardware and Architecture

Radiology, Nuclear Medicine and imaging

Computer Graphics and Computer-Aided Design

Health Informatics

Radiological and Ultrasound Technology

Atomic and Molecular Physics, and Optics

Dermatology

About

Yasmeen is a Lecturer with data science and AI department at Monash Faculty of Information Technology with over a decade of interdisciplinary research experience in AI for healthcare analytics. She received her Ph.D. from the University of Melbourne in 2018 (Australia). Her research focuses on the use of AI for automated medical image analysis for better management of various health conditions including, kidney/breast/skin cancer, glaucoma, psoriasis. She worked on various research projects including event detection in social media streams, AI for automatic systematic reviews, cancer segmentation and classification, disease severity assessment and lesion detection using different data modalities (text, numerical, 2D images, and 3D volumes). Her research work is recognised through serval research publications, 2 patents, several invited talks, and prestigious research grants. Her research interests include AI, data science, NLP, computer vision, and medical image analytics across domains of radiology, pathology, dermatology, and ophthalmology.

Legacy Map

Full View

Publications

Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images

IEEE Systems Journal

2014

Automated cell nuclei segmentation for breast fine needle aspiration cytology

Signal Processing

2013

Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images

IEEE Journal of Biomedical and Health Informatics

2020

Skin Hair Removal for 2D Psoriasis Images

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

2015

Real-time spatio-temporal event detection on geotagged social media

Journal of Big Data

2021

Automatic psoriasis lesion segmentation in two-dimensional skin images using multiscale superpixel clustering

Journal of Medical Imaging

2017

Pixel-based skin segmentation in psoriasis images

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

2016

Psoriasis image representation using patch-based dictionary learning for erythema severity scoring

Computerized Medical Imaging and Graphics

2018

Automatic Scale Severity Assessment Method in Psoriasis Skin Images Using Local Descriptors

IEEE Journal of Biomedical and Health Informatics

2020

A Coarse-to-Fine 3D U-Net Network for Semantic Segmentation of Kidney CT Scans

Lecture Notes in Computer Science

2022

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)

2017

Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media

2019 IEEE International Conference on Big Data (Big Data)

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

2019

Automatic Nipple Detection Method for Digital Skin Images with Psoriasis Lesions

2019 Digital Image Computing: Techniques and Applications (DICTA)

2019

3D-CNN for Glaucoma Detection Using Optical Coherence Tomography

Ophthalmic Medical Image Analysis

2019

Kidney and Kidney Tumor Segmentation

Lecture Notes in Computer Science

2022

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)

2021

Automatic spreader-container alignment system using infrared structured lights

Applied Optics

2012

Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes

Ophthalmology Glaucoma

2020

Pseudolymphoma induced by secukinumab for treatment of chronic plaque psoriasis

Australasian Journal of Dermatology

2019

The application of multi-modality medical image fusion based method to cerebral infarction

EURASIP Journal on Image and Video Processing

2017

Education

University of Melbourne

Ph.D., Electrical and Electronic Engineering

Melbourne, Victoria, Australia

Join Yasmeen on NotedSource!

Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.