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ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning


Feb 25, 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


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Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge


Feb 04, 2021
Chompunuch Sarasaen, Soumick Chatterjee, Mario Breitkopf, Georg Rose, Andreas Nürnberger, Oliver Speck


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Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning


Nov 28, 2020
Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Steffen Oeltze-Jafra, Andreas Nürnberger, Oliver Speck

* Medical Imaging Meets NeurIPS 2020 

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Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation


Nov 20, 2020
Dhanunjaya Mitta, Soumick Chatterjee, Oliver Speck, Andreas Nürnberger

* ICPRAM 2021 

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DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset


Jun 18, 2020
Soumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, Gerda Bortsova, Florian Dubost, Hendrik Mattern, Marleen de Bruijne, Oliver Speck, Andreas Nürnberger


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Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images


Jun 10, 2020
Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger


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CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation


Jan 17, 2020
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savaş Özkan, Bora Baydar, Dmitry 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 Bozdağı Akar, Gözde Ünal, Oğuz Dicle, M. Alper Selver

* 10 pages, 2 figures 

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