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Adelaide Research & Scholarship
Adelaide Research & Scholarship
Browsing "Theses" by Advisor Carneiro, Gustavo
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Showing results 1 to 16 of 16
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Issue Date
Title
Author(s)
2016
Automated detection, segmentation and classification of masses from mammograms using deep learning
Dhungel, Neeraj
2020
Bayesian Data Augmentation and Generative Active Learning for Robust Imbalanced Deep Learning
Tran, Toan Minh
2021
Closing the implementation gap in pre-deployment medical AI study design
Oakden-Rayner, Luke
2020
Data Augmentation for Multi-domain and Multi-modal Generalised Zero-shot Learning
Felix Alves, Raphael
2022
Deep Anomaly Detection in Computer Vision and Medical Imaging
Tian, Yu
2019
Efficient Deep Learning Models with Autoencoder Regularization and Information Bottleneck Compression
Williams, Jerome Oskar
2020
Endoscopy-focused primary, secondary and tertiary prevention of colorectal cancer
Zorrón Cheng Tao Pu, Leonardo
2015
Medical Image Segmentation Combining Level Set Method and Deep Belief Networks
Ngo, Tuan Anh
2017
Methods for Understanding and Improving Deep Learning Classification Models
Liao, Zhibin
2017
Moving last squares registration in computer vision: new applications and algorithms
Liu, William
2018
Pre-hoc and Post-hoc Diagnosis and Interpretation of Breast Magnetic Resonance Volumes
Maicas Suso, Gabriel
2021
Relaxed Invariant Representation for Unsupervised Domain Adaptation
Askari Lyarjdameh, Hossein
2020
Self-Supervised Learning for Geometry
Zhan, Huangying
2020
Single View 3D Reconstruction using Deep Learning
Johnston, Adrian Robert
2022
Weakly Supervised Localization for Censor Aware Survival Prediction from Medical Images
Hermoza Aragones, Renato
2024
Weakly-supervised learning in Computer Vision and Medical Imaging
Liu, Fengbei