Hagag A, Gomaa A, Kornek D, Maier A, Fietkau R, Bert C, Huang Y, Putz F. Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding, in International Conference on Medical Image Computing and Computer-Assisted Intervention.; 2024:early–acceptance.

Fan F, Wang Y, Ritschl L, Biniazan R, Beister M, Kreher B, Huang Y, Kappler S, Maier A. Metal-conscious Embedding for CBCT Projection Inpainting, in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE; 2023:1–5.

Rao DD, Maass N, Dennerlein F, Maier A, Huang Y. Machine Learning-based Detection of Spherical Markers in CT Volumes, in Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022. Springer Fachmedien Wiesbaden Wiesbaden; 2022:51–56.

Wagner F, Thies M, Karolczak M, Pechmann S, Huang Y, Gu M, Kling L, Weidner D, Aust O, Schett G, et al. Monte Carlo dose simulation for in-vivo X-ray nanoscopy, in Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022. Springer Fachmedien Wiesbaden Wiesbaden; 2022:107–112.

Xu J, Sun C, Huang Y, Huang X. Residual neural network for filter kernel design in filtered back-projection for ct image reconstruction, in Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer Fachmedien Wiesbaden Wiesbaden; 2021:164–169.

Huang Y, Mill L, Stoll R, Kling L, Aust O, Wagner F, Grüneboom A, Schett G, Christiansen S, Maier A. Semi-permeable filters for interior region of interest dose reduction in X-ray microscopy, in Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer Fachmedien Wiesbaden Wiesbaden; 2021:61–66.

Huang Y, Gao L, Preuhs A, Maier A. Field of View Extension in Computed Tomography Using Deep Learning Prior, in Bildverarbeitung für die Medizin 2020.; 2020:186–191.

Huang Y, Würfl T, Breininger K, Liu L, Lauritsch G, Maier A. Some investigations on robustness of deep learning in limited angle tomography, in Bildverarbeitung für die Medizin 2019: Algorithmen–systeme–anwendungen. Proceedings des workshops vom 17. bis 19. März 2019 in Lübeck. Springer Fachmedien Wiesbaden Wiesbaden; 2019:21–21.

Huang Y, Preuhs A, Lauritsch G, Manhart M, Huang X, Maier A. Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior, in MICCAI International Workshop on Machine Learning for Medical Image Reconstruction. Springer International Publishing; 2019:101–112.

Stromer D, Christlein V, Huang Y, Zippert P, Helmecke E, Hausotte T, Maier A. Dose reduction for historical books digitization by 3-D X-ray ct, in of Applied Sciences Upper Austria, U.(ed.) Proceedings of 8th Conference on Industrial Computed Tomography (iCT 2018).; 2018:1–2.

Huang Y, Lu Y, Taubmann O, Lauritsch G, Maier A. Traditional machine learning techniques for streak artifact reduction in limited angle tomography, in Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen. Springer Berlin Heidelberg Berlin, Heidelberg; 2018:222–227.

Huang Y, Taubmann O, Huang X, Lauritsch G, Maier A. Papoulis–Gerchberg algorithms for limited angle tomography using data consistency conditions, in Procs CT Meeting.; 2018:189–192.

Huang Y, Würfl T, Breininger K, Liu L, Lauritsch G, Maier A. Some investigations on robustness of deep learning in limited angle tomography, in International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer International Publishing Cham; 2018:145–153.

Huang Y, Lu Y, Taubmann O, Lauritsch G, Maier A. Streak Artifact Reduction in Limited Angle Tomography Using Machine Learning, in 3rd Conference on Image-Guided Interventions.; 2017:7–8.

Huang X, Xia Y, Huang Y, Hornegger J, Maier A. Overexposure correction by mixed one-bit compressive sensing for C-arm CT, in Bildverarbeitung für die Medizin 2017: Algorithmen-Systeme-Anwendungen. Proceedings des Workshops vom 12. bis 14. März 2017 in Heidelberg. Springer Berlin Heidelberg Berlin, Heidelberg; 2017:50–55.

Huang X, Xia Y, Huang Y, Hornegger J, Yang J, Maier A. Truncation Artifact Reduction in Cone-beam CT using Mixed One-bit Compressive Sensing, in The 14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine.; 2017:246–249.

Huang Y, Taubmann O, Huang X, Hornegger J, Lauritsch G, Maier A. Restoration of Missing Data in Limited Angle Tomography Based on Consistency Conditions, in Fully3D.Vol 150.; 2017:200.