Journal Articles

• Chatterjee S, Breitkopf M, Sarasaen C, Yassin H, Rose G, Nürnberger A, and Speck O (2022): ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data. Computers in Biology and Medicine, 143: 105321 (1-17). DOI: 10.1016/j.compbiomed.2022.105321. URL: https://www.sciencedirect.com/science/article/abs/pii/S0010482522001135

• Sarasaen C, Chatterjee S, Breitkopf M, Rose G, Nürnberger A, and Speck O (2021): Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. Artificial Intelligence in Medicine, 121: 102196 (1-11). DOI: 10.1016/j.artmed.2021.102196. URL: https://www.sciencedirect.com/science/article/pii/S0933365721001895

Conference Papers

• Chatterjee S, Breitkopf M, Sarasaen C, Yassin H, Rose G, Nürnberger A, and Speck O (2021): ReconResNet: Regularised residual learning for MR image reconstruction of undersampled cartesian and radial data. Paper presented at Medical Imaging with Deep Learning (MIDL) 2021, Lübeck, Germany, Jul 7-9, 2021. p. — (1-3; ID: 110). Oral presentation (online). DOI: —. URL: https://openreview.net/forum?id=KNEKu-W4Avz

• Chatterjee S, Sarasaen C, Sciarra A, Breitkopf M, Oeltze-Jafra S, Nürnberger A, and Speck O (2021): Going beyond the image space: undersampled MRI reconstruction directly in the k-space using a complex valued residual neural network. Paper presented at The 29th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2021), — (online), May 15-20, 2021. p. — (1-4). Oral presentation (online) and digital poster (ID: 1757). DOI: --. URL: https://www.researchgate.net/publication/349589092_Going_beyond_the_image_space_undersampled_MRI_reconstruction_directly_in_the_k-space_using_a_complex_valued_residual_neural_network

• Sarasaen C, Chatterjee S, Breitkopf M, Iuso D, Rose G, and Speck O (2019): Breathing deformation model — application to multi-resolution abdominal MRI. Paper presented at 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, Jul 23-27, 2019. IEEE. p. 2769-72. Oral presentation and poster. DOI: 10.1109/EMBC.2019.8857706. URL: https://ieeexplore.ieee.org/document/8857706

Further Contributions (Abstracts, Talks, Posters)

• Sarasaen C, Chatterjee S, Saad F, Breitkopf M, Rose G, Nürnberger A, and Speck O (2021): Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. Abstract presented at The 29th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2021), — (online), May 15-20, 2021. p. — (1-3; ID: 1778). Oral presentation (online). URL: https://www.researchgate.net/publication/349588965_Fine-tuning_deep_learning_model_parameters_for_improved_super-resolution_of_dynamic_MRI_with_prior-knowledge

• Sarasaen C, Chatterjee S, Breitkopf M, Rose G, and Speck O (2019): Generating breathing deformation model from low resolution 4D MRI. 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. —. Poster. URL: http://www.igic.de/upload/IGIC-2019/Programm_engl_20191024.pdf

• Sarasaen C, Chatterjee S, Breitkopf M, Rose G, and Speck O (2019): Konzeptstudie eines interventionellen Computertomographen. 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. —. Poster. URL: http://www.igic.de/deutsch/igic-2019/willkommen-2019/index.html

• Sarasaen C, Chatterjee S, Breitkopf M, Rose G, and Speck O (2019): Generating breathing deformation model from low resolution 4D MRI. 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. —. Poster. URL: http://www.igic.de/deutsch/igic-2019/willkommen-2019/index.html

• Chatterjee S, Breitkopf M, Sarasaen C, Rose G, Nürnberger A, and Speck O (2019): Comparison between the usage of same and different variable density undersampling patterns for Deep Learning based MRI Reconstruction. 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. —. Oral presentation. URL: https://www.researchgate.net/publication/350325057_Comparison_between_the_usage_of_same_and_different_variable_density_undersampling_patterns_for_Deep_Learning_based_MRI_Reconstruction

• Chatterjee S, Breitkopf M, Sarasaen C, Rose G, Nürnberger A, and Speck O (2019): A deep learning approach for reconstruction of undersampled Cartesian and Radial data. Abstract presented at The 36th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2019), Rotterdam, Netherlands, Oct 3-5, 2019. p. — (1-4). Oral presentation. URL: https://www.researchgate.net/publication/335473585_A_deep_learning_approach_for_reconstruction_of_undersampled_Cartesian_and_Radial_data