Julie Porteous

Associate Professor

RMIT University

Australia

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About

Julie Porteous is an Associate Professor at RMIT University in Australia. Her research primarily focuses on deep learning methodologies for medical image classification, including semi-supervised approaches and machine learning techniques for precise segmentation of cranial structures. Recent publications highlight her contributions to automated planning and narrative modeling within artificial intelligence.

Articles (5)

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Collaborators (2)

Minyi Li

Senior Lecturer

RMIT University

AUSTRALIA

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Azadeh Alavi

Lecturer in Artificial Intelligence

RMIT University

AUSTRALIA

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Julie Porteous

Research Interests

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Articles (5)

A Critical Analysis of Deep Semi-Supervised Learning Approaches for Enhanced Medical Image Classification

Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica

SellaMorph-Net: A Novel Machine Learning Approach for Precise Segmentation of Sella Turcica Complex Structures in Full Lateral Cephalometric Images

A preference elicitation framework for automated planning

Automated narrative planning model extension

Collaborators (2)

Minyi Li

Azadeh Alavi

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