People
Current
Past
MSc students at ITU
- Nikolette Zoe Pedersen (fall 2025) - Impact of demographic data diversity on model training dynamics using data maps
- Regitze Julie Sydendal (fall 2025) - Impact of demographic data diversity on model training dynamics using data maps
- Niclas Classen (spring 2025) - Colon reconstruction in CT scans
- Ioana-Daria Vasile (spring 2025) – Colon reconstruction in CT scans
- Anders Havbro Hjulmand (fall 2024, spring 2025) – DNA foundation models
- Eisuke Okuda (fall 2024, spring 2025) – DNA foundation models
- Andreas Flensted Olsen (fall 2024, spring 2025) – DNA foundation models
- Bianca Ida Pedersen, Max Andreas de Visser (fall 2024) – Shortcuts in chest CT scans
- Veron Hoxha (fall 2024) – Dataset duplication on Kaggle
- Michelle Hestbek-Møller (spring 2024) - Generating Synthetic X-ray Images from CT scans using SyntheX
- Casper Anton Poulsen (spring 2024) - Generating Synthetic X-ray Images from CT scans using SyntheX
- Jorge del Pozo Lerida (spring 2024) - Automatic Detection of Cerebral Microbleeds
- Caroline Vang-Larsen (fall 2023) - Study data use and reuse dynamics in neuroimaging using URLs in NeuroImage papers
- Cathrine Damgaard (spring 2023) - Annotation label reliability and pathology detection in publicly available chest X-ray datasets
- Trine Naja Eriksen (spring 2023) - Annotation label reliability and pathology detection in publicly available chest X-ray datasets
- Stinna Ødgaard Winther (spring 2023) - Systematic review to identify and study chest x-ray datasets
- Ahmet Akkoç (fall 2022) - Datasets citations and mentions in PMLR venues
- Christine Kaarde Galsgaard (fall 2022) - Qualitative and quantitative analysis on datasets, affiliations, references and ethics
- Nikolaj Kjøller Bjerregaard (spring 2022) - Recognizing furigana in Japanese texts and comic books
BSc students at ITU
- Gabriela Zhelyazkova (spring 2025) - Impact of clinical features on the performance of machine learning models classifying pleural effusion
- Mirka Katuscáková (spring 2024) - Influence of pen markings in skin lesion classification
- Yasmin Sarkhosh (spring 2024) - Investigation into demographic representation in Healthcare AI
- Lars Andreas Metsälä Wulff (spring 2024) - Robustness and sex differences in skin cancer detection: logistic regression vs CNNs
- Nikolette Zoe Pedersen (spring 2024) - Robustness and sex differences in skin cancer detection: logistic regression vs CNNs
- Regitze Julie Sydendal (spring 2024) - Robustness and sex differences in skin cancer detection: logistic regression vs CNNs
- Jannik Elsässer (spring 2024) - Recognizing sea grass in underwater images
- Chrisanna Kate Cornish (spring 2023) - Investigating the carbon cost of machine learning competitions that use medical image datasets
- Danielle Marie Dequin (spring 2023) - Investigating the carbon cost of machine learning competitions that use medical image datasets
- Kasper Thorhauge Grønbek (spring 2022) - Hidden features in chest X-ray images
- Andreas Skovdal (spring 2022) - Hidden features in chest X-ray images
- Frederik Bechmann Faarup (spring 2022) - Hidden features in mammography images
MSc students at TU Eindhoven
- Irma van den Brandt (2020) - Transfer learning from (non)-medical datasets
- Britt Michels (2019-2020) - Evaluation of medical image segmentation
- Colin Nieuwlaat (2019-2020) - Transfer learning & dataset shift
- Rumjana Romanova (2019-2020) - Stability of deep multiple instance learning
- Tom van Sonsbeek (2018-2019) - Meta-learning for medical image segmentation
- Linde Hesse (2018-2019) - Lung nodule detection in spectral CT