Lukas Folle

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

Lesion-conditioning of synthetic MRI-derived subtraction-MIPs of the breast using a latent diffusion model (2024) Kapsner L, Folle L, Hadler D, Eberle J, Balbach E, Liebert A, Ganslandt T, et al. Journal article Detection of femoropopliteal arterial steno-occlusion at MR angiography: initial experience with artificial intelligence (2024) Nguyen TT, Folle L, Bayer T Journal article A gradient-based approach to fast and accurate head motion compensation in cone-beam CT (2024) Thies M, Wagner F, Maul N, Yu H, Goldmann M, Schneider LS, Gu M, et al. Journal article Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images (2024) Thies M, Maul N, Mei S, Pfaff L, Vysotskaya N, Gu M, Utz J, et al. Conference contribution Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs (2024) Packhäuser K, Folle L, Nguyen TT, Thamm F, Maier A Conference contribution, Conference Contribution T2 Distribution Analysis of Inflamed Bone Marrow Compartments in MR Images with Quantitative T2-mapping (2024) Brock L, Ben-Atya H, Saar G, Folle L, Maier A, Vandoorne K, Freiman M Conference contribution, Abstract of a poster Gradient-based geometry learning for fan-beam CT reconstruction (2023) Thies M, Wagner F, Maul N, Folle L, Meier M, Rohleder M, Schneider LS, et al. Journal article, Original article Imaging in inflammatory arthritis: progress towards precision medicine (2023) Minopoulou I, Kleyer A, Yalcin-Mutlu M, Fagni F, Kemenes S, Schmidkonz C, Atzinger A, et al. Journal article, Review article DeepNAPSI multi-reader nail psoriasis prediction using deep learning (2023) Folle L, Fenzl P, Fagni F, Thies M, Christlein V, Meder C, Simon D, et al. Book chapter / Article in edited volumes Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning (2023) Nguyen TT, Folle L, Bayer T, Maier A Conference contribution