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Picture for Carola-Bibiane Schönlieb

Carola-Bibiane Schönlieb

on behalf of the AIX-COVNET collaboration

LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification


Jun 12, 2021
Philip Sellars, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb


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End-to-end reconstruction meets data-driven regularization for inverse problems


Jun 07, 2021
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb


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Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy


May 16, 2021
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo


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An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images


May 10, 2021
Julian D. Gilbey, Carola-Bibiane Schönlieb

* 8 pages 

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Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data


Apr 27, 2021
Madeleine Kotzagiannidis, Carola-Bibiane Schönlieb


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Adversarially learned iterative reconstruction for imaging inverse problems


Mar 30, 2021
Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb

* Accepted to the Eighth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), May-2021 

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Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)


Mar 05, 2021
Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schönlieb


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Equivariant neural networks for inverse problems


Feb 23, 2021
Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry


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Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization


Feb 12, 2021
Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb


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A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation


Feb 08, 2021
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo


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Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma


Jan 22, 2021
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb


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Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations


Jan 20, 2021
Tao Wei, Angelica I Aviles-Rivero, Shuo Wang, Yuan Huang, Fiona J Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen

* 10 pages, 5 figures 

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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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