Soumick Chatterjee

52 papers C 3Journal 43Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Segmenting the Invisible: An End-to-End Registration and Segmentation Framework for Weakly Supervised Tumour Analysis. CoRR Budhaditya Mukhopadhyay, Chirag Mandal, Pavan Tummala, Naghmeh Mahmoodian, Andreas Nürnberger, Soumick Chatterjee
2026	J	`jnl`	Transcending the Annotation Bottleneck: AI-Powered Discovery in Biology and Medicine. CoRR Soumick Chatterjee
2026	J	`jnl`	Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification. Neurocomputing Soumick Chatterjee, Hadya Yassin, Florian Dubost, Andreas Nürnberger, Oliver Speck
2025	J	`jnl`	LUMEN-A deep learning pipeline for analysis of the 3D morphology of the cerebral lenticulostriate arteries from time-of-flight 7T MRI. NeuroImage Rui Li, Soumick Chatterjee, Yeerfan Jiaerken, Xia Zhou, Chethan Radhakrishna, Philip Benjamin, Stefania Nannoni, Daniel J. Tozer, Hugh S. Markus, Christopher T. Rodgers
2025	J	`jnl`	PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation. Medical Image Anal. Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra, Hendrik Mattern, Gábor Janiga, Oliver Speck, Andreas Nürnberger, Sahani Pathiraja
2024	J	`jnl`	Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution. J. Imaging Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Anitha Bhat Talagini Ashoka, Mayura Gurjar Cheepinahalli Vasudeva, Shudarsan Saravanan, Venkatesh Thirugnana Sambandham, Pavan Tummala, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2024	J	`jnl`	DDoS-UNet: Incorporating Temporal Information Using Dynamic Dual-Channel UNet for Enhancing Super-Resolution of Dynamic MRI. IEEE Access Soumick Chatterjee, Chompunuch Sarasaen, Georg Rose, Andreas Nürnberger, Oliver Speck
2024	J	`jnl`	Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. J. Imaging 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
2024	—	`conf`	HaWANet: Road Scene Understanding with Multi-modal Sensor Data Using Height-Width-Driven Attention Network. AI*IA Soumick Chatterjee, Jiahua Xu, Adarsh Kuzhipathalil, Andreas Nürnberger
2024	J	`jnl`	SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. CoRR Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristóbal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger
2024	J	`jnl`	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss. CoRR Chethan Radhakrishna, Karthikesh Varma Chintalapati, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Hendrik Mattern, Oliver Speck, Andreas Nürnberger, Soumick Chatterjee
2024	J	`jnl`	Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks. Appl. Intell. Domenico Iuso, Soumick Chatterjee, Sven Cornelissen, Dries Verhees, Jan De Beenhouwer, Jan Sijbers
2023	J	`jnl`	Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN. CoRR Soumick Chatterjee, Pavan Tummala, Oliver Speck, Andreas Nürnberger
2023	—	`conf`	Flavours of Convolution for Unsupervised Aspect Extraction and Aspect-based Sentiment Analysis. NL4AI@AI*IA Soumick Chatterjee, Sowmya Prakash, Andreas Nürnberger
2023	J	`jnl`	Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique. CoRR 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
2023	J	`jnl`	Liver segmentation using Turbolift learning for CT and cone-beam C-arm perfusion imaging. Comput. Biol. Medicine 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
2023	J	`jnl`	MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent. Comput. Medical Imaging Graph. Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee, Nandish Bandi Subbarayappa, Steve Simon, Suraj Bangalore Shashidhar, Oliver Speck, Andreas Nürnberger
2023	J	`jnl`	PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation. CoRR Soumick Chatterjee, Franziska Gaidzik, Alessandro Sciarra, Hendrik Mattern, Gábor Janiga, Oliver Speck, Andreas Nürnberger, Sahani Pathiraja
2023	J	`jnl`	Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. Neural Networks Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger
2023	—	`conf`	Unboxing the Black-Box of Deep Learning Based Reconstruction of Undersampled MRIss. XAI.it@AI*IA Soumick Chatterjee, Arnab Das, Rupali Khatun, Andreas Nürnberger
2023	J	`jnl`	Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks. CoRR Domenico Iuso, Soumick Chatterjee, Jan De Beenhouwer, Jan Sijbers
2022	J	`jnl`	Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images. CoRR Alessandro Sciarra, Soumick Chatterjee, Max Dünnwald, Giuseppe Placidi, Andreas Nürnberger, Oliver Speck, Steffen Oeltze-Jafra
2022	C	`conf`	Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN. IPAS Soumick Chatterjee, Pavan Tummala, Oliver Speck, Andreas Nürnberger
2022	J	`jnl`	DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI. CoRR Soumick Chatterjee, Chompunuch Sarasaen, Georg Rose, Andreas Nürnberger, Oliver Speck
2022	J	`jnl`	DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. J. Imaging Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Chompunuch Sarasaen, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
2022	C	`conf`	Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique. IPAS 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
2022	J	`jnl`	Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging. CoRR 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
2022	J	`jnl`	MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent. CoRR Soumick Chatterjee, Himanshi Bajaj, Istiyak H. Siddiquee, Nandish Bandi Subbarayappa, Steve Simon, Suraj Bangalore Shashidhar, Oliver Speck, Andreas Nürnberger
2022	J	`jnl`	Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction. CoRR Philipp Ernst, Soumick Chatterjee, Georg Rose, Andreas Nürnberger
2022	J	`jnl`	ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data. Comput. Biol. Medicine Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck
2022	—	`—`	Reducing artefacts in MRI using deep learning: enhancing automatic image processing pipelines. Soumick Chatterjee
2022	J	`jnl`	StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder. CoRR Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2022	J	`jnl`	StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder. Comput. Biol. Medicine Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Pavan Tummala, Shubham Kumar Agrawal, Aishwarya Jauhari, Aman Kalra, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2022	J	`jnl`	Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification. CoRR Soumick Chatterjee, Hadya Yassin, Florian Dubost, Andreas Nürnberger, Oliver Speck
2021	J	`jnl`	CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation. Medical Image Anal. 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
2021	J	`jnl`	Classification of Brain Tumours in MR Images using Deep Spatiospatial Models. CoRR Soumick Chatterjee, Faraz Ahmed Nizamani, Andreas Nürnberger, Oliver Speck
2021	J	`jnl`	Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. Artif. Intell. Medicine Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck
2021	J	`jnl`	Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge. CoRR Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck
2021	J	`jnl`	ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data. CoRR Soumick Chatterjee, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, Oliver Speck
2021	—	`conf`	ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. EUSIPCO Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2021	J	`jnl`	ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning. CoRR Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Raghava Vinaykanth Mushunuri, Ranadheer Podishetti, Rajatha Nagaraja Rao, Geetha Doddapaneni Gopinath, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger
2021	J	`jnl`	Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction. CoRR Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas Nürnberger
2021	J	`jnl`	TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models. CoRR Soumick Chatterjee, Arnab Das, Chirag Mandal, Budhaditya Mukhopadhyay, Manish Vipinraj, Aniruddh Shukla, Rajatha Nagaraja Rao, Chompunuch Sarasaen, Oliver Speck, Andreas Nürnberger
2021	C	`conf`	Upgraded W-Net with Attention Gates and Its Application in Unsupervised 3D Liver Segmentation. ICPRAM Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger
2020	J	`jnl`	CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation. CoRR 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
2020	J	`jnl`	DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. CoRR Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger
2020	J	`jnl`	Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images. CoRR Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger
2020	J	`jnl`	Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning. CoRR Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck
2020	J	`jnl`	Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation. CoRR Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger
2019	—	`conf`	Breathing deformation model - application to multi-resolution abdominal MRI. EMBC Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Domenico Iuso, Georg Rose, Oliver Speck
2019	J	`jnl`	Breathing deformation model - application to multi-resolution abdominal MRI. CoRR Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Domenico Iuso, Georg Rose, Oliver Speck
2019	J	`jnl`	Machine learning approach for segmenting glands in colon histology images using local intensity and texture features. CoRR Rupali Khatun, Soumick Chatterjee