Exploration of interpretability techniques for deep covid-19 classification using chest x-ray images S Chatterjee, F Saad, C Sarasaen, S Ghosh, V Krug, R Khatun, R Mishra, ... Journal of Imaging 10 (2), 2024 | 36 | 2024 |
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge C Sarasaen, S Chatterjee, F Saad, M Breitkopf, A Nürnberger, O Speck ISMRM 2021, 2021 | 29 | 2021 |
Time separation technique using prior knowledge for dynamic liver perfusion imaging H Haseljić, V Kulvait, R Frysch, F Saad, B Hensen, F Wacker, I Brüsch, ... 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | 3 | 2022 |
Spherical Ellipse Scan Trajectory for Tomosynthesis-Assisted Interventional Bronchoscopy F Saad, R Frysch, T Pfeiffer, JC Georgi, T Knetsch, RF Casal, ... 16th International Meeting on Fully 3D Image Reconstruction in Radiology and …, 2021 | 2 | 2021 |
Controllability of structural brain networks in dementia L Meyer-Bäse, F Saad, A Tahmassebi Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and …, 2020 | 2 | 2020 |
Nullspace-constrained modifications of under-sampled interventional CT images using instrument-specific prior information F Saad, R Frysch, V Kulvait, D Punzet, G Rose Proc. SPIE. 11312, Medical Imaging 2020: Physics of Medical Imaging, 2020 | 2 | 2020 |
Iterative intraoperative digital tomosynthesis image reconstruction using a prior as initial image F Saad, R Frysch, T Pfeiffer, S Saalfeld, J Schulz, JC Georgi, ... 7th International Conference on Image Formation in X-Ray Computed Tomography, 2022 | 1 | 2022 |
Deformable 3D/3D CT-to-digital-tomosynthesis image registration in image-guided bronchoscopy interventions F Saad, R Frysch, S Saalfeld, S Kellnberger, J Schulz, R Fahrig, K Bhadra, ... Computers in Biology and Medicine, 108199, 2024 | | 2024 |