Soumick Chatterjee
Soumick Chatterjee
Postdoctoral Researcher, Faculty of Computer Science, Otto von Guericke University Magdeburg
Verified email at - Homepage
Cited by
Cited by
CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation
AE Kavur, NS Gezer, M Barış, S Aslan, PH Conze, V Groza, DD Pham, ...
Medical Image Analysis 69, 101950, 2021
Exploration of interpretability techniques for deep covid-19 classification using chest x-ray images
S Chatterjee, F Saad, C Sarasaen, S Ghosh, V Krug, R Khatun, R Mishra, ...
arXiv preprint arXiv:2006.02570, 2020
Text classification using SVM enhanced by multithreading and CUDA
S Chatterjee, PG Jose, D Datta
International Journal of Modern Education and Computer Science 11 (1), 11, 2019
Hash and Salt based Steganographic Approach with Modified LSB Encoding
PG Jose, S Chatterjee, M Patodia, S Kabra, A Nath
International Journal of Innovative Research in Computer and Communication …, 2016
Classification of Brain Tumours in MR Images using Deep Spatiospatial Models
S Chatterjee, FA Nizamani, A Nürnberger, O Speck
Scientific Reports 12, 1--11, 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
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
Auto-explore the web–web crawler
S Chatterjee, A Nath
International Journal of Innovative Research in Computer and Communication …, 2017
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
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning
S Chatterjee, A Sciarra, M Dünnwald, RV Mushunuri, R Podishetti, ...
2021 29th European Signal Processing Conference (EUSIPCO), 940-944, 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
ESMRMB 2019, 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, ...
Applied Sciences 12 (4), 1834, 2022
Upgraded W-Net with Attention Gates and Its Application in Unsupervised 3D Liver Segmentation
D Mitta, S Chatterjee, O Speck, A Nürnberger
Proceedings of the 10th International Conference on Pattern Recognition …, 2021
Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI
A Sciarra, H Mattern, R Yakupov, S Chatterjee, D Stucht, S Oeltze‐Jafra, ...
Magnetic resonance in medicine 87 (2), 646-657, 2022
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
P Ernst, S Chatterjee, G Rose, O Speck, A Nürnberger
arXiv preprint arXiv:2112.13443, 2021
Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning
S Chatterjee, A Sciarra, M Dünnwald, S Oeltze-Jafra, A Nürnberger, ...
arXiv preprint arXiv:2011.14134, 2020
Machine learning approach for segmenting glands in colon histology images using local intensity and texture features
R Khatun, S Chatterjee
2018 IEEE 8th International Advance Computing Conference (IACC), 314-320, 2018
Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing
D Iuso, S Chatterjee, R Heylen, S Cornelissen, J De Beenhouwer, ...
Developments in X-Ray Tomography XIV 12242, 2022
StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
S Chatterjee, A Sciarra, M Dünnwald, P Tummala, SK Agrawal, A Jauhari, ...
Computers in Biology and Medicine 149, 106093, 2022
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent
S Chatterjee, H Bajaj, IH Siddiquee, NB Subbarayappa, S Simon, ...
arXiv preprint arXiv:2203.04317, 2022
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