Journal Articles

• Ernst P, Chatterjee S, Rose G, Speck O, and Nürnberger A (tba): Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. Manuscript submitted to Computer Methods and Programs in Biomedicine (under review): arXiv:2112.13443 (1-20). DOI: 10.48550/ARXIV.2112.13443. URL: https://arxiv.org/abs/2112.13443

• Dünnwald M, Ernst P, Düzel E, Tönnies K, Betts M J, and Oeltze-Jafra S (2021): Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson’s disease using neuromelanin-sensitive MRI. International Journal of Computer Assisted Radiology and Surgery, 16: 2129–35. DOI: 10.1007/s11548-021-02528-5. URL: https://link.springer.com/article/10.1007/s11548-021-02528-5
  

• Emre Kavur A, Sinem Gezer N, Barıș M, Aslan S, Conze P-H, Groza V, Duy Pham D, Chatterjee S, Ernst P, Özkan S, Baydar B, Lachinov D, Han S, Pauli J, Isensee F, Perkonigg M, Sathish R, Rajan R, Sheet D, Dovletov G, Speck O, Nürnberger A, Maier-Hein K H, Bozdağı Akar G, Ünal G, Dicle O, and Selver M A (2020): CHAOS Challenge -- Combined (CT-MR) healthy abdominal organ segmentation. Medical Image Analysis, 69: 101950 (1-23). DOI: 10.1016/j.media.2020.101950. URL: https://arxiv.org/abs/2001.06535

Conference Papers

• Ghosh S, Ernst P, Rose G, Nürnberger A, and Stober S (2022): Towards patient specific reconstruction using perception-aware CNN and planning CT as prior. Paper presented at 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India, Mar 28-31, 2022. IEEE. p. — (1-5). Poster. DOI: 10.1109/ISBI52829.2022.9761462. URL: https://ieeexplore.ieee.org/document/9761462

• Ernst P, Ghosh S, Rose G, and Nürnberger A (2022): Dual Branch Prior-SegNet: CNN for interventional CBCT using planning scan and auxiliary segmentation loss. Paper presented at Medical Imaging with Deep Learning (MIDL) 2022, Zürich, Switzerland, Jul 6-8, 2022. p. arXiv:2205.10353 (1-3). Poster. DOI: 10.48550/ARXIV.2205.10353. URL: https://openreview.net/forum?id=uhv14tCLmoB

• Ernst P, Chatterjee S, Rose G, and Nürnberger A (2022): Primal-Dual UNet for sparse view cone beam computed tomography volume reconstruction. Paper presented at Medical Imaging with Deep Learning (MIDL) 2022, Zürich, Switzerland, Jul 6-8, 2022. p. arXiv:2205.07866 (1-3). Poster. DOI: 10.48550/ARXIV.2205.07866. URL: https://openreview.net/forum?id=RVKcDeJ2fCi

• Xu J, Ernst P, Liu T L, and Nürnberger A (2021): Dual skip connections minimize the false positive rate of lung nodule detection in CT images. Paper presented at 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC 2021), Guadalajara, Mexico (online), Nov 1-5, 2021. IEEE. p. 3217-20. Oral presentation (online) and digital poster. DOI: 10.1109/EMBC46164.2021.9630096. URL: https://ieeexplore.ieee.org/document/9630096

• Ernst P, Rose G, and Nürnberger A (2021): Sparse view deep differentiated backprojection for circular trajectories in CBCT. Paper presented at 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D 2021), Leuven, Belgium, Jul 19-23, 2021. p. 463-66. Oral presentation (online; ID: 14.3). DOI: —. URL: https://www.researchgate.net/publication/355187211_Sparse_View_Deep_Differentiated_Backprojection_for_Circular_Trajectories_in_CBCT

• Ernst P, Rak M, Hansen C, Rose G, and Nürnberger A (2021): Trajectory upsampling for sparse conebeam projections using convolutional neural networks. Paper presented at 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D 2021), Leuven, Belgium, Jul 19-23, 2021. p. 285-88. Digital poster. DOI: —. URL: https://www.var.ovgu.de/pub/2021_Ernst_SPIE.pdf

• Ernst P, Hille G, Hansen C, Tönnies K, and Rak M (2019): A CNN-based framework for statistical assessment of spinal shape and curvature in whole-body MRI images of large populations. Paper presented at 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China, Oct 13-17, 2019. Lecture Notes in Computer Science, Springer, Cham. p. 3-11. Poster. DOI: 10.1007/978-3-030-32251-9_1. URL: https://link.springer.com/chapter/10.1007/978-3-030-32251-9_1

• Ernst P, Chatterjee S, Speck O, and Nürnberger A (2019): CHAOS Challenge - Team OvGU MEMoRIAL. Paper presented at Combined (CT-MR) Healthy Abdominal Organ Segmentation (CHAOS) Challenge held in the IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, Apr 11, 2019. ResearchGATE – Cambridge, MA, USA. p. — (1-3). DOI: 10.13140/RG.2.2.27960.49928. URL: https://www.researchgate.net/publication/337948600_CHAOS_Challenge_-_Team_OvGU_MEMoRIAL

Further Contributions (Abstracts, Talks, Posters)

• Ernst P, Chatterjee S, Rose G, Speck O, and Nürnberger A (2022): Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. Abstract presented at 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India, Mar 28-31, 2022. p. — (ID: 896). Poster. URL: https://rc.signalprocessingsociety.org/conferences/isbi-2022/SPSISBI22VID0066.html?source=IBP

• Ernst P, Nürnberger A, and Rose G (2019): Comparison of optimization methods for few view CT using deep learning. Abstract presented at Recent progress and developments: 4th Conference on Image-Guided Interventions & Digitalization in Medicine (IGIC 2019), Mannheim, Germany, Nov 4-5, 2019. p. 81 (ID: 132). Poster. URL: https://www.researchgate.net/publication/337948420_Comparison_of_Optimization_Methods_for_Few-View_CT_using_Deep_Learning