Felix Lucka
Full Name
Dr. F. Lucka
Email
Phone
+31 20 592 4071
Room
L020a
Department(s)
Function(s)
Scientific Staff Member
Homepage
Publications
All publicationsProfessional activities

Speaker: "Sparse Bayesian Inference & Uncertainty Quantication for Inverse Imaging Problems", Statistics for Structures Seminar, University of Leiden

Organizer: Minisymposium "Imaging with Light and Sound", SIAM Imaging Science, Bologna (2018)

Speaker: "Challenges of Mathematical Image Reconstruction", Colloquium Mathematics, Groningen

Organizer: Minisymposium "Tomographic Imaging: Recent Advances, Exciting Applications and New Horizons", Applied Inverse Problems Conference, Grenoble (2019)

Organizer: Minisymposium "Deep Learning and Inverse Problems", ICIAM, Valencia (2019)

Speaker: "On Challenges in Quantitative Photoacoustic Tomography and Ultrasound Computed Tomography", Mathematical and Numerical Approaches for MultiWave Inverse Problems, Marseille

Speaker: "Challenges of Mathematical Image Reconstruction", DIAMANT symposium, Eindhoven

Speaker: "Deep Learning for Computed Tomography Applications", Applied Inverse Problems Conference, Grenoble

Speaker: "Computational and Practical Challenges of 4D Tomography Applications", Applied Inverse Problems Conference, Grenoble

Speaker: "New Applications and Challenges in XRay Tomography", ICIAM, Valencia

Speaker: "Hierarchical Bayesian Uncertainty Quantication for EEG/MEG Source Reconstruction", ICIAM, Valencia

Speaker: "4D Computed Tomography with Sequential Scanning Systems", IMA, London

Speaker: "Dynamic Image Reconstruction & Motion Estimation", MUMMERING Workshop on Dynamic Imaging, Leiden

Speaker: "TimeDomain Full Waveform Inversion for High Resolution 3D Ultrasound Computed Tomography of the Breast", International Workshop on Medical Ultrasound Tomography, Detroit

Speaker: "Image Reconstruction: A Playground for Curious Applied Mathematicians", CWI Scientific Meetings , Amsterdam

Speaker: "Image Reconstruction: A Playground for Applied Mathematicians", Partial differential equations and applications seminar, TU Delft

Speaker: "Imaging the Acoustic and Optical Properties of the Breast with USCT and PAT", SIAM Imaging Science

Speaker: "Joint Tomographic Image Reconstruction and Motion Estimation", SIAM Imaging Science

Organizer: Dutch Inverse Problems Meeting (2021)

Speaker: "Simultaneous Tomographic Image Reconstruction and Motion Estimation", UGCT Seminar, Feb 23, 2021.

Speaker: "Computational Challenges in Photoacoustic and Ultrasonic Breast Imaging", Excalibur SLE Workshop, May 07, 2021.

Speaker: "Deep Learning in Computational Imaging", MaLGA Seminar Series

Organizer: Dutch Inverse Problems Meeting (2022)

Organizer: FleXray Lab 5 Years Anniversary Symposium (2022)

Speaker: "Computational and Experimental Challenges of 3D Ultrasound Tomography", Conference on Mathematics of Wave Phenomena”, KIT

Speaker: "Image Reconstruction  A Playground for Applied Mathematicians", Applied Analysis Seminar, Radboud University

Speaker: "Photoacoustic and Ultrasonic Tomography for Breast Imaging", SIAM Imaging Science conference

Speaker: "Photoacoustic & Ultrasonic Tomography for Breast Cancer Imaging", 3rd IMA Conference on Inverse Problems from Theory to Application, Edinburgh

Speaker: "Deep Learning in Computational Imaging", AI & Mathematics Workshop, Amsterdam

Speaker: "Ultrasonic Breast Tomography via 3D Full Waveform Inversion", Department of Imaging Physics, TU Delft

Speaker: "Photoacoustic and Ultrasonic Tomography for Breast Imaging", CWI Scientific Meetings, Amsterdam
Grants

NWO Vidi grant on Dynamic Xray Computed Tomography using Deep Generative Networks (2024)

EC HORIZON TMA MSCA grant on Computational Imaging as a Training Network for Smart Biomedical Devices (2023)

NWO KLEINI grant on TranslationDriven Development of Deep Learning for Simultanous Tomographic Image Reconstruction and Segmentation (2020)

PPP project with Applus RTD on Deep learning and compressed sensing for ultrasonic nondestructive testing (2019)
Current projects with external funding

COmputaNal Imaging as a training Network for Smart biomedical dEvices (CONcISE (101072354))

Dynamic Xray Computed Tomography using Deep Generative Networks (None)

TranslationDriven Development of Deep Learning for Simultaneous Tomographic Image Reconstruction and Segmentation (None)