ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial dataSoumick Chatterjee, Oliver Speck, Mario Breitkopf et al.|Computers in Biology and Medicine|2022Cited by 31
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray ImagesSoumick Chatterjee, Andreas Nürnberger, Chompunuch Sarasaen et al.|Journal of Imaging|2024Cited by 28
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training DataSoumick Chatterjee, Andreas Nürnberger, Kartik Prabhu et al.|Journal of Imaging|2022Cited by 23
TorchEsegeta: Framework for Interpretability and Explainability of Image-Based Deep Learning ModelsSoumick Chatterjee, Andreas Nürnberger, Chirag Mandal et al.|Applied Sciences|2022Cited by 19
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray ImagesSoumick Chatterjee, Andreas Nürnberger, Chompunuch Sarasaen et al.|arXiv (Cornell University)|2020Cited by 11