Progress in Biomedical Optics and Imaging - Proceedings of SPIE

ISSN: 1605-7422
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A study on the accuracy of polynomial fitting for direct computation of material lengths from projection data in dual energy CT (2023) Haase V, Stierstorfer K, Maier A, Noo F Conference contribution Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography (2023) Manral N, Lin A, Park C, McElhinney P, Killekar A, Matsumoto H, Kwiecinski J, et al. Conference contribution Deep learning based denoising of mammographic x-ray images: an investigation of loss functions and their detail-preserving properties (2022) Eckert D, Ritschl L, Herbst M, Wicklein J, Vesal S, Kappler S, Maier A, Stober S Conference contribution Segmentation of the mouse skull for MRI guided transcranial focused ultrasound therapy planning (2022) Hopp T, Springer L, Gross C, Grudzenski-Theis S, Mathis-Ullrich F, Ruiter N Conference contribution Real-time guidewire tracking and segmentation in intraoperative X-ray (2022) Zhang B, Bui M, Wang C, Bourier F, Schunkert H, Navab N Conference contribution DG-GRU: Dynamic graph based gated recurrent unit for age and gender prediction using brain imaging (2022) Kazi A, Markova V, Kondamadugula PR, Liu B, Adly A, Faghihroohi S, Navab N Conference contribution Noise and dose reduction in CT brain perfusion acquisition by projecting time attenuation curves onto lower dimensional spaces (2022) Kulvait V, Hölter P, Punzet D, Dörfler A, Rose G Conference contribution Organometal halide perovskite imager: a comparison 1.5 years after fabrication (2022) Deumel S, Van Breemen AJ, Peeters B, Maas J, Akkerman HB, Meulenkamp EA, Gelinck GH, et al. Conference contribution Towards enabling better evaluation of emphysema: investigation into a method to reduce the variability of lung CT attenuation values due to patient size and positioning (2022) Haase V, Noo F, Stierstorfer K, McNitt-Gray M Conference contribution Artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary computed tomography angiography using a novel method (2022) Lin A, Manral N, McElhinney P, Killekar A, Matsumoto H, Kwiecinski J, Pieszko K, et al. Conference contribution