| Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images S Chatterjee, F Saad, C Sarasaen, S Ghosh, R Khatun, P Radeva, ... arXiv preprint arXiv:2006.02570, 2020 | 36* | 2020 |
| Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge C Sarasaen, S Chatterjee, M Breitkopf, G Rose, A Nürnberger, O Speck Artificial Intelligence in Medicine 121, 102196, 2021 | 28 | 2021 |
| Reconresnet: Regularised residual learning for mr image reconstruction of undersampled cartesian and radial data S Chatterjee, M Breitkopf, C Sarasaen, H Yassin, G Rose, A Nürnberger, ... Computers in biology and medicine 143, 105321, 2022 | 26 | 2022 |
| Torchesegeta: framework for Interpretability and Explainability of image-based deep learning models S Chatterjee, A Das, C Mandal, B Mukhopadhyay, M Vipinraj, A Shukla, ... Applied Sciences 12 (4), 1834, 2022 | 14 | 2022 |
| Ds6, deformation-aware semi-supervised learning: Application to small vessel segmentation with noisy training data S Chatterjee, K Prabhu, M Pattadkal, G Bortsova, C Sarasaen, F Dubost, ... Journal of Imaging 8 (10), 259, 2022 | 13 | 2022 |
| DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI S Chatterjee, C Sarasaen, G Rose, A Nürnberger, O Speck arXiv preprint arXiv:2202.05355, 2022 | 7 | 2022 |
| Going beyond the image space: undersampled mri reconstruction directly in the k-space using a complex valued residual neural network S Chatterjee, C Sarasaen, A Sciarra, M Breitkopf, S Oeltze-Jafra, ... 2021 ISMRM & SMRT Annual Meeting & Exhibition 5, 1757, 2021 | 5 | 2021 |
| A deep learning approach for reconstruction of undersampled Cartesian and Radial data S Chatterjee, M Breitkopf, C Sarasaen, G Rose, A Nürnberger, O Speck 36th Annual Scientific Meeting Congress of the European Society for Magnetic …, 2019 | 5 | 2019 |
| TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models S Chatterjee, A Das, C Mandal, B Mukhopadhyay, M Vipinraj, A Shukla, ... arXiv preprint arXiv:2110.08429, 2021 | 3 | 2021 |
| Incorporation of Prior Knowledge Into Dynamic MRI Reconstruction C Sarasaen Universitätsbibliothek, 2024 | | 2024 |
| Super Resolution of Dynamic MRI using Deep Learning, Enhanced by Prior-Knowledge C Sarasaen, S Chatterjee, A Nürnberger, O Speck 37th Annual Scientific Meeting Congress of the European Society for Magnetic …, 2020 | | 2020 |
| Generating breathing deformation model from low resolution 4D MRI C Sarasaen, S Chatterjee, M Breitkopf, G Rose, O Speck Conference on Image-Guided Interventions (IGIC) 2019, 2019 | | 2019 |
| Breathing deformation model-application to multi-resolution abdominal MRI C Sarasaen, S Chatterjee, M Breitkopf, D Iuso, G Rose, O Speck 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | | 2019 |
| Computational Fluid Dynamic (CFD) in Thai patient with Obstructive Sleep Apnea Syndrome (OSAS) A case report: Comparative study between healthy and OSA subject C Sarasaen, K Hemtiwakorn, T Bhongmakapat, J Laothamatas, ... The 5th 2012 Biomedical Engineering International Conference, 1-6, 2012 | | 2012 |
| Motion-robust dynamic abdominal MRI using kt GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet) C Sarasaen, S Chatterjee, G Rose, A Nürnberger, O Speck | | |
