Soumick Chatterjee
Soumick Chatterjee
Postdoctoral Researcher @ Genomics Research Centre, Human Technopole
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Citado por
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
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
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
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
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), 11-23, 2019
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
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
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
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
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
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
MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ...
arXiv preprint arXiv:2308.16139, 2023
Auto-explore the web–web crawler
S Chatterjee, A Nath
International Journal of Innovative Research in Computer and Communication …, 2017
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
Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction
P Ernst, S Chatterjee, G Rose, O Speck, A Nürnberger
Neural Networks 166, 704-721, 2023
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
S Chatterjee, P Tummala, O Speck, A Nürnberger
2022 IEEE 5th International Conference on Image Processing Applications and …, 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
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
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, ...
ISMRM 2021, 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
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