Soumick Chatterjee

Dr. Soumick Chatterjee
Faculty of Computer Science
Institut für Technische und Betriebliche Informationssysteme (ITI)
Research interests:
- Machine Learning, Deep Learning
- Image Processing, Medical Image Processing
- Magnetic Resonance Imaging (MRI), MR Image Reconstruction, Interventional MRI
- Text Analysis and Classification
- Cryptography, Steganography
Current project:
Vita
01/2018 | PhD Research Fellow at the OVGU:ESF Graduate School : MEMoRIAL |
07/2017 | Joined as a Research Associate in Infymax Solutions - Chatbot, Hospital Automation |
05/2017 | Master's Major Project: Text Classification using SVM enhanced by Multithreading and CUDA |
08/2015 | Commencement of Masters study in Computer Science in St. Xavier's College Kolkata India |
11/2013 | Bachelor's Major Project: Data Hiding in Images - A steganographic approach |
12/2010 | Launch of Supernova Techlink - a software startup based in Kolkata, India - worked part-time during undergraduate study, followed by full-time as the Co-Founder and Chief Software Architect |
08/2010 | Commencement of undergraduate study: Bachelor of Computer Application in Punjab Technical University India |
2023
Begutachteter Zeitschriftenartikel
Liver segmentation using turbolift learning for CT and cone-beam C-arm perfusion imaging
In: Computers in biology and medicine - Amsterdam [u.a.]: Elsevier Science, Bd. 154 (2023)
2022
Abstract
Improvement of magnetic resonance (MR) imaging-based temperature-controlled hyperthermia by reconstructing highly undersampled MR acquisition
In: 34th Annual Meeting European Society for Hyperthermic Oncology - ESHO, 2022 . - 2022, S. 73-74
Artikel in Kongressband
Automated SSIM regression for detection and quantification of motion artefacts in brain MR images
In: Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010 . - 2022, insges. 10 S.
DDoS-UNet - incorporating temporal information using dynamic dual-channel UNet for enhancing super-resolution of dynamic MRI
In: Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.
Learning to segment brain tumours using an explainable classifier
In: Konferenz: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.
MICDIR - multi-scale Inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 19 S.
Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)
In: Konferenz: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.
Multi-scale UNet with self-constructing graph latent for deformable image registration
In: Konferenz: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010 . - 2022, insges. 4 S.
Primal-Dual UNet for sparse view cone beam computed tomography volume reconstruction
In: Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.
Reference-less SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MRIs
In: Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.
Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions
In: Konferenz: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010 . - 2022, insges. 4 S.
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 14 S.
Begutachteter Zeitschriftenartikel
TorchEsegeta - framework for interpretability and explainability of image-based deep learning models
In: Applied Sciences - Basel: MDPI, Bd. 12 (2022), 4, insges. 20 S.
Classification of brain tumours in MR images using deep spatiospatial models
In: Scientific reports - [London]: Macmillan Publishers Limited, part of Springer Nature, Bd. 12 (2022), insges. 11 S.
DS6, deformation-aware semi-supervised learning - application to small vessel segmentation with noisy training data
In: Journal of imaging - Basel: MDPI, Bd. 8 (2022), 10, insges. 22 S.
Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI
In: Magnetic resonance in medicine - New York, NY [u.a.]: Wiley-Liss, 1984, Bd. 87 (2022), 2, S. 646-657
ReconResNet: Regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
In: Computers in biology and medicine - Amsterdam [u.a.]: Elsevier Science, Bd. 143 (2022)
StRegA - unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
In: Computers in biology and medicine - Amsterdam [u.a.]: Elsevier Science, Bd. 149 (2022)
Buchbeitrag
Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing
In: Konferenz: SPIE Optical Engineering + Application, San Diego, California, United States, 21-26 August 2022, Proceedings of SPIE/ SPIE - Bellingham, Wash.: SPIE, Bd. 12242 (2022)
Dissertation
Reducing artefacts in MRI using Deep Learning - enhancing automatic image processing pipelines
In: Magdeburg, 2022, xxv, 360 Seiten, Illustrationen, Diagramme, 30 cm
Nicht begutachteter Zeitschriftenartikel
Automated SSIM regression for detection and quantification of motion artefacts in brain MR images
In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2022, insges. 9 S.
DDoS-UNet - incorporating temporal information using dynamic dual-channel UNet for enhancing super-resolution of dynamic MRI
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 12 S.
Liver segmentation using turbolift learning for CT and cone-beam C-arm perfusion imaging
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 16 S.
StRegA - unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2022, insges. 13 S.
2021
Abstract
DdoS - dynamic dual-channel U-Net for improving deep learning based super-resolution of abdominal dynamic MRI
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg: Springer, 1993, Bd. 34 (2021), Suppl. 1, S. S44
Artikel in Kongressband
A comparative study of deep learning based deformable image registration techniques
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021
DS6, deformation-aware semi-supervised learning - application to small vessel segmentation with noisy training data
In: Medical Imaging with Deep Learning - OpenReview.net . - 2021, insges. 3 S.
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021
Going beyond the image space - undersampled MRI reconstruction directly in the k-space using a complex valued residual neural network
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021
Interpretability techniques for deep learning based segmentation models
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021
ReconResNet: regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
In: Medical Imaging with Deep Learning - OpenReview.net . - 2021, insges. 3 S.
Resolving to super resolution multi-dimensional diffusion imaging (Super-MUDI)
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021
Unsupervised reconstruction based anomaly detection using a Variational Auto Encoder
In: Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2021
Begutachteter Zeitschriftenartikel
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
In: Medical image analysis - Amsterdam [u.a.]: Elsevier Science, Volume 69(2021), article 101950
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
In: Artificial intelligence in medicine - Amsterdam [u.a.]: Elsevier Science, Bd. 121 (2021)
Buchbeitrag
ShuffleUNet - super resolution of diffusion-weighted MRIs using deep learning
In: 29th European Signal Processing Conference (EUSIPCO 2021) - [Piscataway, NJ]: IEEE . - 2021
Upgraded W-Net with attention gates and its application in unsupervised 3D liver segmentation
In: Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods. Volume 1: February 4-6, 2021 - [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Marsico, Maria . - 2021, S. 488-494
Nicht begutachteter Zeitschriftenartikel
Classification of brain tumours in MR images using deep spatiospatial models
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2021, insges. 12 S.
ReconResNet: regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2021, S. 1-15
ShuffleUNet: super resolution of diffusion-weighted MRIs using deep learning
In: De.arxiv.org - [S.l.]: Arxiv.org, 1991 . - 2021, S. 1-5
Sinogram upsampling using primal-dual UNet for undersampled CT and radial MRI reconstruction
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2021, insges. 20 S.
TorchEsegeta - framework for interpretability and explainability of image-based deep learning models
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2021, insges. 15 S.
2020
Abstract
Contrast prediction-based regularization for iterative reconstructions (PROSIT)
In: ISMRM 28th annual ISMRM virtual conference & exhibition, 08. - 14. August 2020/ ISMRM Annual Meeting & Exhibition, 2020, 2020, Poster 3462
Artikel in Kongressband
Evaluation of deep learning techniques for motion artifacts removal
In: Konferenz: ISMRM & SMRT Virtual Conference & Exhibition, 08-14 August 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020
Retrospective motion correction of MR images using prior-assisted deep learning
In: Konferenz: Medical Imaging Meets NeurIPS 2020, virtual, December 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010, 2020, insgesamt 5 Seiten
Super resolution of dynamic MRI using deep learning, enhanced by prior-knowledge
In: Kongress: ESMRMB 2020 Online Convergence Science & Education, September 30 - October 2, 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020
Unsupervised learning for Abdominal MRI Segmentation using 3D Attention W-Net
In: Konferenz: ISMRM & SMRT Virtual Conference & Exhibition, 08-14 August 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020
Upgraded W-net with attention gates and its application in unsupervised 3D liver segmentation
In: Konferenz: ICPRAM 2021, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020
Wavelet filtering of undersampled MRI using trainable wavelets and CNN
In: Kongress: ESMRMB 2020 Online Convergence Science & Education, September 30 - October 2, 2020, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2020
Nicht begutachteter Zeitschriftenartikel
CHAOS challenge - combined (CT-MR) healthy abdominal organ segmentation
In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 2001.06535, insgesamt 19 Seiten
DS6: deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset
In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 2006.10802, insgesamt 13Seiten
Exploration of interpretability techniques for deep COVID-19 classification using chest X-ray images
In: De.arxiv.org - [S.l.]: Arxiv.org, 2020, article 2006.02570, insgesamt 16 Seiten
2019
Abstract
Comparison between the usage of same and different variable density undersampling patterns for Deep Learning based MRI Reconstruction
In: 4th Image-Guided Interventions Conference: digitalization in medicine : November 4th-5th 2019, UMM, Mannheim - Mannheim, 2019 . - 2019
Generating breathing deformation model from low resolution 4D MRI
In: 4th Image-Guided Interventions Conference: digitalization in medicine : November 4th-5th 2019, UMM, Mannheim - Mannheim, 2019 . - 2019
Artikel in Kongressband
A deep learning approach for reconstruction of undersampled Cartesian and Radial data
In: Konferenz: ESMRMB 2019, Rotterdam, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2019
CHAOS challenge - team OvGU MEMoRIAL
In: Symposium: IEEE International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, Apr 11, 2019, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2019
Begutachteter Zeitschriftenartikel
Text classification using SVM enhanced by multithreading and CUDA
In: International journal of modern education and computer science - Hong Kong: MECS Press, Bd. 11.2019, 1, S. 11-23
Buchbeitrag
Breathing deformation model - application to multi-resolution abdominal MRI
In: Konferenz: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Berlin, Germany, 23-27 July 2019, Biomedical engineering ranging from wellness to intensive care/ IEEE Engineering in Medicine and Biology Society - [Piscataway, NJ]: IEEE; Barbieri, Ricardo . - 2019, S. 2769-2772
Breathing deformation model - application to multi-resolution abdominal MRI
In: Konferenz: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Berlin, Germany, 23-27 July 2019, 41st Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) - [Piscataway, NJ]: IEEE . - 2019
2018
Artikel in Kongressband
Machine learning approach for segmenting glands in colon histology images using local intensity and texture features
In: Conference: IEEE 8th International Advance Computing Conference (IACC 2018)
Begutachteter Zeitschriftenartikel
Symmetric Key Encryption Algorithm Using Spider Web (ESP) Version-1
In: International Journal of Latest Trends in Engineering and Technology Vol.(10)Issue(2), pp.342-346
2017
Begutachteter Zeitschriftenartikel
Auto-Explore the Web Web Crawler
In: International Journal of Innovative Research in Computer and Communication Engineering 5(4):6607-6618
Duplicate File Analyzer using N-layer Hash and Hash Table
In: International Research Journal of Computer Science (IRJCS), Issue 06, Volume 4
2016
Begutachteter Zeitschriftenartikel
Hash and Salt based Steganographic Approach with Modified LSB Encoding
In: International Journal of Innovative Research in Computer and Communication Engineering 4(6):10599-10610
Buchbeitrag
Microcontroller based automated life saviorMedisûr
In: Computational Science and Engineering, CRC Press, 2016, S. 329-332