Soumick Chatterjee

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Liver Segmentation

Computed Tomography

Deformable Image Registration

Top Venues

Comput. Biol. Medicine

Publications

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 (2024)
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) (2024)
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 (2024)
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 (2023)
Soumick Chatterjee, Sowmya Prakash, Andreas Nürnberger
Flavours of Convolution for Unsupervised Aspect Extraction and Aspect-based Sentiment Analysis. NL4AI@AI*IA (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Soumick Chatterjee, Pavan Tummala, Oliver Speck, Andreas Nürnberger
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN. CoRR (2023)
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)
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 (2023)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
Philipp Ernst, Soumick Chatterjee, Georg Rose, Andreas Nürnberger
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction. CoRR (2022)
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)
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 (2022)
Soumick Chatterjee, Pavan Tummala, Oliver Speck, Andreas Nürnberger
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN. IPAS (2022)
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 (2022)
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 (2022)
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 (2021)
Soumick Chatterjee, Faraz Ahmed Nizamani, Andreas Nürnberger, Oliver Speck
Classification of Brain Tumours in MR Images using Deep Spatiospatial Models. CoRR (2021)
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 (2021)
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, M. Alper Selver
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 69 (2021)
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 (2021)
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 (2021)
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)
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 (2021)
Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger
Upgraded W-Net with Attention Gates and Its Application in Unsupervised 3D Liver Segmentation. ICPRAM (2021)
Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. CoRR (2021)
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 (2020)
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 (2020)
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 (2020)
Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation. CoRR (2020)
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 (2020)
Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Domenico Iuso, Georg Rose, Oliver Speck
Breathing deformation model - application to multi-resolution abdominal MRI. EMBC (2019)
Rupali Khatun, Soumick Chatterjee
Machine learning approach for segmenting glands in colon histology images using local intensity and texture features. CoRR (2019)
Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Domenico Iuso, Georg Rose, Oliver Speck
Breathing deformation model - application to multi-resolution abdominal MRI. CoRR (2019)