Theses

PhD

1. Deep learning methods for reconstruction and analysis of diffuse optical tomography images of breast cancer lesions, Ben Yedder, Hanene (2023)

2. Deep Learning for Medical Image Restoration, Izadi, Saeed (2022)

3. Deep Learning for Skin Lesion Segmentation, Mirikharaji, Zahra (2022)

4. Encoding Anatomical Tree Priors for Tubular Structure Extraction for Medical Images Analysis, Zhao, Mengliu (2020)

5. Improved Deep Semantic Medical Image Segmentation, Asgari, Saeid (2019)

6. Machine Learning and Network Analysis for Macromolecular Structure Determination from Super-resolution Microscopy, Khater, Ismail (2019)

7. Diagnosing Skin Lesions from Images with Convolutional Neural Networks, Kawahara, Jeremy (2019)

8. Analyzing Cancers in Digitized Histopathology Images, BenTaieb, Aïcha (2018) 

9. Modelling and Prediction of Neurodevelopment in Preterm Infants using Structural Connectome Data, Brown, Colin (2017)

10. Diffusion MRI Analysis Techniques Inspired by the Preterm Infant Brain, Booth, Brian  (2015) 

11. Prior Knowledge for Targeted Object Segmentation in Medical Images, Nosrati, Seyed Masoud (2015) 

12. Computational Techniques for Skin Lesion Tracking And Classification, Mirzaalian Dastjerdi, Hengameh (2014)  

13. Fully Automated Medical Image Analysis Facilitating Subsequent User Analysis,  Andrews, Shawn  (2014) 

14. Adaptive Energy Functions and Efficient Graph-Based Optimization for Deformable Image Registration,  Tang, Lisa Ying Wai (2014) 

15. Analysis and Visualization Techniques for Dynamic Emission Tomography Images, Saad, Ahmed (2013) 

16. Energy Functionals for Medical Image Segmentation: Choices and Consequences, McIntosh, Chris (2011)  

17. Matching Dissimilar Shapes, van Kaick, Oliver Matias (2011) 

18. Computational Intelligence Supporting Anatomical Shape Analysis and Computer-Aided Diagnosis, Ward, Aaron Devin (2008) 

MSc

1. Multimodal Guidance for Medical Image Classification, Mallya Mayur (2022)

2. DEEMD: Drug efficacy estimation against SARS-CoV-2 based on cell morphology with deep multiple instance learning, Saberian, Mohammadsadegh (2021)

3. Input space augmentation for skin lesion segmentation in dermoscopic images, Abhishek, Kumar (2020)

4. Attention-based Skin Lesion Recognition, Yan, Yiqi (2020)

5. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network, Sharma, Anmol (2019)

6. Deep Learning for Quantitative Image Analysis of Positron Emission Tomography, Afshari, Saeedeh  (2019) 

7. Machine Learning Driven Active Surfaces for 3D Segmentation of Tumour Lesions in PET Images, Ahmadvand, Payam (2017)

8. Interactive Extraction of 3D Trees from Medical Images Supporting Gaming and Crowdsourcing, Huang, Mian (2017) 

9. Uncertainty in Probabilistic Image Registration, Lotfi Mahyari, Tayebeh (2013) 

10. Spinal Cord Segmentation and Disability Prediction in Multiple Sclerosis Using Novel Optimization and Machine Learning Methods, Kawahara, Jeremy (2013) 

11. Automated Confidence-Based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation, Top, Andrew (2012) 

12. Vessel Bifurcation Detection in Scale Space, Baboiu, Daniel (2011)  

13. An Active Contour Approach for Segmentation of Intra-Retinal Layers in Optical Coherence Tomography Images, Yazdan , Azadeh (2010) 

14. Probabilistic Multi-Label Representations for Anatomical Statistical Shape Analysis, Changizi, Neda (2010)  

15. Motion Estimation for Functional Medical Imaging Studies Using A Stereo Video Head Pose Tracking System, Ma, William (2009) 

16. Algorithms for Image Analysis of Corpus Callosum Degeneration for Multiple Sclerosis, Ishaq, Omer (2008) 

17. Visualization and Exploration of Time-Varying and Diffusion Tensor Medical Image Data Sets, Fang, Zhe (2008) 

18. Snake Contours in Three-Dimensions from Colour Stereo Image Pairs, Ghaffari, Roozbeh (2005)