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Carola-Bibiane Schönlieb

on behalf of the AIX-COVNET collaboration

TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems

Dec 11, 2020
Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb

* The Journal extension of arXiv:2002.09611 

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Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients

Dec 05, 2020
Yifan Li, Chao Li, Stephen Price, Carola-Bibiane Schönlieb, Xi Chen


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A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation

Dec 01, 2020
Rihuan Ke, Angelica Aviles-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb


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Contrastive Registration for Unsupervised Medical Image Segmentation

Nov 17, 2020
Lihao Liu, Angelica I Aviles-Rivero, Carola-Bibiane Schönlieb

* 10 pages, 3 figures 

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Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding

Oct 08, 2020
Veronica Corona, Yehuda Dar, Carola-Bibiane Schönlieb


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GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays

Sep 30, 2020
Angelica I Aviles-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis


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A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition

Sep 23, 2020
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis


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Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review

Sep 01, 2020
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb

* 25 pages, 3 figures, 2 tables 

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Unsupervised Image Restoration Using Partially Linear Denoisers

Aug 14, 2020
Rihuan Ke, Carola-Bibiane Schönlieb


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Learned convex regularizers for inverse problems

Aug 06, 2020
Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb

* 10 pages, 2 figures, 5 tables 

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Ground Truth Free Denoising by Optimal Transport

Jul 03, 2020
Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass


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Deeply Learned Spectral Total Variation Decomposition

Jun 17, 2020
Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb


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iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling

Jun 12, 2020
Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb


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SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs

Jun 11, 2020
Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Bambang Irawan, Eva Achmad, Muhammad Zudhi, Habibi, Elva Gemita, David A. Coomes


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Structure preserving deep learning

Jun 05, 2020
Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry


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Unsupervised clustering of Roman pottery profiles from their SSAE representation

Jun 04, 2020
Simone Parisotto, Alessandro Launaro, Ninetta Leone, Carola-Bibiane Schönlieb

* 18 pages, 10 figures 

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Multi-task deep learning for image segmentation using recursive approximation tasks

May 26, 2020
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schuetz, Carola-Bibiane Schönlieb


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3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning

May 15, 2020
Maureen van Eijnatten, Leonardo Rundo, K. Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek


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On Learned Operator Correction

May 14, 2020
Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon Arridge

* 28 pages, 11 Figures 

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Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction

Dec 16, 2019
Jiulong Liu, Angelica I. Aviles-Rivero, Hui Ji, Carola-Bibiane Schönlieb


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Dynamic Spectral Residual Superpixels

Oct 10, 2019
Jianchao Zhang, Angelica I. Aviles-Rivero, Daniel Heydecker, Xiosheng Zhuang, Raymond Chan, Carola-Bibiane Schönlieb


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Variational Osmosis for Non-linear Image Fusion

Oct 04, 2019
Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb

* 10 pages, 7 figures 

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PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds

Sep 23, 2019
Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis


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GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision

Jul 25, 2019
Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb

* MICCAI 2019 

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A multi-task U-net for segmentation with lazy labels

Jun 20, 2019
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola-Bibiane Schönlieb


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Learning the Sampling Pattern for MRI

Jun 20, 2019
Ferdia Sherry, Martin Benning, Juan Carlos De los Reyes, Martin J. Graves, Georg Maierhofer, Guy Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt

* The main document is 10 pages, the supporting document is 2 pages and attached at the end of the main document 

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On the Connection Between Adversarial Robustness and Saliency Map Interpretability

May 10, 2019
Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Schönlieb

* 12 pages, accepted for publication at the 36th International Conference on Machine Learning 2019 

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Deep learning as optimal control problems: models and numerical methods

Apr 11, 2019
Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb


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