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ORCIDSoumick Chatterjee
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2020 – today
- 2024
[j10]Soumick Chatterjee
, Chompunuch Sarasaen, Georg Rose, Andreas Nürnberger, Oliver Speck:
DDoS-UNet: Incorporating Temporal Information Using Dynamic Dual-Channel UNet for Enhancing Super-Resolution of Dynamic MRI. IEEE Access 12: 99122-99136 (2024)- [j9]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. J. Imaging 10(2): 45 (2024) - [i25]Chethan Radhakrishna, Karthikesh Varma Chintalapati, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Hendrik Mattern, Oliver Speck, Andreas Nürnberger, Soumick Chatterjee:
SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss. CoRR abs/2407.08655 (2024) - 2023
- [j8]Hana Haseljic, Soumick Chatterjee, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensen, Frank K. Wacker, Inga Brüsch, Thomas Werncke, Oliver Speck, Andreas Nürnberger, Georg Rose:
Liver segmentation using Turbolift learning for CT and cone-beam C-arm perfusion imaging. Comput. Biol. Medicine 154: 106539 (2023) - [j7]Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee, Nandish Bandi Subbarayappa, Steve Simon, Suraj Bangalore Shashidhar, Oliver Speck, Andreas Nürnberger:
MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent. Comput. Medical Imaging Graph. 108: 102267 (2023) - [j6]Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger:
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. Neural Networks 166: 704-721 (2023) - [c7]Soumick Chatterjee, Arnab Das, Rupali Khatun, Andreas Nürnberger:
Unboxing the Black-Box of Deep Learning Based Reconstruction of Undersampled MRIss. XAI.it@AI*IA 2023: 15-28 - [c6]Soumick Chatterjee, Sowmya Prakash, Andreas Nürnberger:
Flavours of Convolution for Unsupervised Aspect Extraction and Aspect-based Sentiment Analysis. NL4AI@AI*IA 2023 - [i24]Soumick Chatterjee, Pavan Tummala, Oliver Speck, Andreas Nürnberger:
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN. CoRR abs/2302.04584 (2023) - [i23]Soumick Chatterjee, Hana Haseljic, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensen, Frank K. Wacker, Inga Brüsch, Thomas Werncke, Oliver Speck, Andreas Nürnberger, Georg Rose:
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique. CoRR abs/2302.04585 (2023) - [i22]Domenico Iuso, Soumick Chatterjee, Jan De Beenhouwer, Jan Sijbers:
Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks. CoRR abs/2305.07894 (2023) - [i21]Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra, Hendrik Mattern, Gábor Janiga, Oliver Speck, Andreas Nürnberger, Sahani Pathiraja:
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation. CoRR abs/2312.15686 (2023) - 2022
- [b1]Soumick Chatterjee:
Reducing artefacts in MRI using deep learning: enhancing automatic image processing pipelines. Otto-von-Guericke University Magdeburg, Germany, 2022, pp. 1-360 - [j5]Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck:
ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data. Comput. Biol. Medicine 143: 105321 (2022) - [j4]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder. Comput. Biol. Medicine 149: 106093 (2022) - [j3]Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger:
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging 8(10): 259 (2022) - [c5]Soumick Chatterjee, Hana Haseljic, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensen, Frank K. Wacker, Inga Brüsch, Thomas Werncke, Oliver Speck, Andreas Nürnberger, Georg Rose:
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique. IPAS 2022: 1-7 - [c4]Soumick Chatterjee, Pavan Tummala, Oliver Speck, Andreas Nürnberger:
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN. IPAS 2022: 1-5 - [i20]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder. CoRR abs/2201.13271 (2022) - [i19]Soumick Chatterjee, Chompunuch Sarasaen, Georg Rose, Andreas Nürnberger, Oliver Speck:
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI. CoRR abs/2202.05355 (2022) - [i18]Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee, Nandish Bandi Subbarayappa, Steve Simon, Suraj Bangalore Shashidhar, Oliver Speck, Andreas Nürnberger:
MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent. CoRR abs/2203.04317 (2022) - [i17]Philipp Ernst, Soumick Chatterjee, Georg Rose, Andreas Nürnberger:
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction. CoRR abs/2205.07866 (2022) - [i16]Soumick Chatterjee, Hadya Yassin, Florian Dubost, Andreas Nürnberger, Oliver Speck:
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification. CoRR abs/2206.05148 (2022) - [i15]Alessandro Sciarra, Soumick Chatterjee, Max Dünnwald, Giuseppe Placidi, Andreas Nürnberger, Oliver Speck, Steffen Oeltze-Jafra:
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images. CoRR abs/2206.06725 (2022) - [i14]Hana Haseljic, Soumick Chatterjee, Robert Frysch, Vojtech Kulvait, Vladimir Semshchikov, Bennet Hensen, Frank K. Wacker, Inga Brüsch, Thomas Werncke, Oliver Speck, Andreas Nürnberger, Georg Rose:
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging. CoRR abs/2207.10167 (2022) - 2021
- [j2]Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck:
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. Artif. Intell. Medicine 121: 102196 (2021) - [j1]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69: 101950 (2021) - [c3]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. EUSIPCO 2021: 940-944 - [c2]Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger:
Upgraded W-Net with Attention Gates and Its Application in Unsupervised 3D Liver Segmentation. ICPRAM 2021: 488-494 - [i13]Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck:
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. CoRR abs/2102.02711 (2021) - [i12]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger:
ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. CoRR abs/2102.12898 (2021) - [i11]Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck:
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data. CoRR abs/2103.09203 (2021) - [i10]Soumick Chatterjee, Faraz Ahmed Nizamani, Andreas Nürnberger, Oliver Speck:
Classification of Brain Tumours in MR Images using Deep Spatiospatial Models. CoRR abs/2105.14071 (2021) - [i9]Soumick Chatterjee, Arnab Das, Chirag Mandal, Budhaditya Mukhopadhyay, Manish Vipinraj, Aniruddh Shukla, Rajatha Nagaraja Rao, Chompunuch Sarasaen, Oliver Speck, Andreas Nürnberger:
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models. CoRR abs/2110.08429 (2021) - [i8]Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger:
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. CoRR abs/2112.13443 (2021) - 2020
- [i7]A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver:
CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR abs/2001.06535 (2020) - [i6]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images. CoRR abs/2006.02570 (2020) - [i5]Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger:
DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR abs/2006.10802 (2020) - [i4]Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger:
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation. CoRR abs/2011.10654 (2020) - [i3]Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck:
Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning. CoRR abs/2011.14134 (2020)
2010 – 2019
- 2019
- [c1]Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Domenico Iuso, Georg Rose, Oliver Speck:
Breathing deformation model - application to multi-resolution abdominal MRI. EMBC 2019: 2769-2772 - [i2]Rupali Khatun, Soumick Chatterjee:
Machine learning approach for segmenting glands in colon histology images using local intensity and texture features. CoRR abs/1905.08611 (2019) - [i1]Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Domenico Iuso, Georg Rose, Oliver Speck:
Breathing deformation model - application to multi-resolution abdominal MRI. CoRR abs/1910.04456 (2019)
Coauthor Index
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