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 | 46* | 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 | 41 | 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 | 32 | 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 | 21 | 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 | 18 | 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 IEEE Access, 2024 | 10 | 2024 |
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 | 6 | 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 |
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 | 1 | 2020 |
Volumetric evaluation of osteotomy gap following mandibular bilateral sagittal split osteotomy using a novel semi-automated approach: a pilot study K Odaka, C Steffen, O Wagendorf, S Geissler, T Ebker, K Rubarth, ... Clinical Oral Investigations 28 (7), 358, 2024 | | 2024 |
Incorporation of prior knowledge into dynamic MRI reconstruction C Sarasaen | | 2024 |
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 | | |