Research output per year
Research output per year
Personal profile
Research interests
My research focuses on end-to-end medical image analysis using AI.
I have worked on applying AI to accelerate multiple tasks in MRI, such as reconstruction, segmentation, and quantitative imaging. While my current research focuses on applying AI for body composition analysis in people with breast cancer for early detection of noncommunicable disease risk.
Specialisation
Artificial Intelligence in Medical Imaging
Education/Academic qualification
PhD, Deep Multitask Learning for accelerating Magnetic Resonance Imaging
Award Date: 26 Feb 2025
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Deep multitask learning for accelerating Magnetic Resonance Imaging
Karkalousos, D., 2025, 177 p.Research output: PhD Thesis › Phd-Thesis - Research and graduation internal
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ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging
Karkalousos, D., Išgum, I., Marquering, H. A. & Caan, M. W. A., 1 Nov 2024, In: Computer methods and programs in biomedicine. 256, 108377.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile72 Downloads (Pure) -
Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits
Liebrand, L. C., Karkalousos, D., Poirion, É., Emmer, B. J., Roosendaal, S. D., Marquering, H. A., Majoie, C. B. L. M., Savatovsky, J. & Caan, M. W. A., 2024, (E-pub ahead of print) In: Magnetic Resonance Materials in Physics, Biology and Medicine.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile275 Downloads (Pure) -
MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis
Karkalousos, D., Išgum, I., Marquering, H. A. & Caan, M. W. A., 2023, Medical Imaging with Deep Learning 2023, MIDL 2023. ML Research Press, Vol. 227. p. 991-1005 (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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MultiTask Learning for accelerated-MRI Reconstruction and Segmentation of Brain Lesions in Multiple Sclerosis
Karkalousos, D., Išgum, I., Marquering, H. A. & Caan, M. W. A., 2023, p. 991-1005. 15 p.Research output: Contribution to conference › Paper › Academic