Full-reference image quality assessment
Talk at PyData Meetup @Raspberry PI Foundation, Cambridge (2023)
IQA for the evaluation of novel algorithms in medical imaging
Minisymposium Talk at ÖMG Tagung Graz (2023)
Image Quality Assessment for Reconstruction Algorithms
Minisymposium Talk at 10th International Congress on Industrial and Applied Mathematics (ICIAM), Tokio (2023)
Examples of Failure in Full Reference Image Quality Assessment for Medical Imaging
Talk at CMIH Engagement Event, Newton Gateway To Mathematics, Cambridge (2023)
Gabor representations for applications in retinal OCT(A) images
Talk at ‘Hot Topics in Medical Physics and Biomedical Engineering’, Medical University of Vienna (2023)
Image Processing with Mathematics
Talk at Open Day, Center for Mathematical Sciences, University of Cambridge (2023)
Image Quality Assessment in Medical Imaging
Talk at Conference on Mathematical Life Sciences, Bonn (2023)
Notes on: Impacts of data representations
Talk at Cambridge Image Analysis group, DAMTP, University of Cambridge (2023)
Image quality assessment based on Gabor representations
Talk at NuHAG seminar, Faculty of Mathematics, University of Vienna (2022)
Full-Reference Image Quality Assessment for Medical Images
Poster at (Wi)MIUA Conference, University of Cambridge
Talk at CMIH Academic Eng. Event, University of Cambridge (2022)
Notes on Image Quality Assessment for Medical Imaging and
Effects of X-Ray Inpainting in Downstream Tasks
Talk at Journal Club AYL, Imperial College London (2022)
Image quality assessment based on Gabor representations
Talk at SIAM Conference on Imaging Science (2022)
Blood vessel segmentation in en-face OCTA images: a frequency based method
Poster at SPIE Medical Imaging, on demand (2022)
On data representations, evaluation and applications in medical imaging
Talk at Cambridge Image Analysis group, DAMTP, University of Cambridge (2022)
Mathematical image processing for applications in OCT images
Talk at Second Austrian Day of Women in Mathematics (2022)
Image Quality Assessment for Medical Imaging
Talk at ‘Hot Topics in Medical Physics and Biomedical Engineering’, Medical University of Vienna (2022)
Frequency based methods for applications in OCT(A) images
Talk at Workshop on Frames, Reconstuctions, and Applications (2021)
Blood vessel segmentation in en-face OCTA images: a frequency based method
Talk at OPTIMA Group, Medical University of Vienna (2021)
Unsupervised classification with orthogonal projections
Talk at the 91th Annual Meeting of GAMM, Kassel (2021)
Augmented target loss functions applied to learning with images,
Contributed lecture at SIAM Conference on Imaging Science (2020)
An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans
Talk and Poster presentation at OMIA workshop, MICCAI, Shenzhen
Talk at Workshop on Computational Medical Imaging and Artificial Intelligence, Hangzhou (2019)
Investigation of MRI reconstruction accuracy with orthogonal projections
Poster presentation at 7th Annual Radiology Research Symposium, Brigham and Women’s Hospital, Boston (2019)
On orthogonal projections for dimension reduction,
Talk at Applied Chest Imaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston (2019)
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems
Talk at Laboratory of Mathematics in Imaging (LMI), Harvard Medical School, Brigham and Women’s Hospital, Boston (2019)
Dimension reduction in learning tasks
Talk at 90th Annual Meeting of GAMM, Wien (2019)
Learning and dimension reduction in medical image analysis
Poster presentation at SIAM Conference on Imaging Science, Bologna (2018)
Specific orthogonal projections for dimension reducing preprocessing in learning tasks
Talk at 89th Annual Meeting of GAMM, Munich (2018)
Dimension Reduction and Automated Evaluation in Retinal OCT volumes
Talk and poster presentation at the 11th international joint conference on biomedical engineering systems and technologies, Funchal (2018).
— Awarded for the best PhD project at Biostec 2018
Mathematical image processing for automated evaluation in Retinal OCT volumes,
Poster presentation at 1st Interscience Symposium of the Vienna Doctoral Schools, Wien (2017)
Sampling in Grassmannians
Poster presentation at SampTA, 12th international Conference on Sampling Theory and Applications, Tallin (2017)
A supervised learning pipeline for quantification of retinal fluid in medical OCT images,
Talk at 88th Annual Meeting of GAMM, Weimar (2017)
An efficient learning pipeline for quantification of retinal fluid in spectral-domain optical coherence tomography images.
Poster presentation at 2nd IMA Conference on the Mathematical Challenges of Big Data, London (2016)