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ORCIDCarola-Bibiane Schönlieb
Carola-Bibiane Schoenlieb – Carola Schönlieb – Carola B. Schönlieb
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- affiliation: University of Cambridge, UK
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2020 – today
- 2022
[j58]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
:
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. Comput. Medical Imaging Graph. 95: 102026 (2022)- [j57]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82: 99-122 (2022) - [j56]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb:
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. J. Mach. Learn. Res. 23: 16:1-16:48 (2022) - [j55]Derek Driggs, Jingwei Liang, Carola-Bibiane Schönlieb:
On Biased Stochastic Gradient Estimation. J. Mach. Learn. Res. 23: 24:1-24:43 (2022) - [j54]Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Accelerating variance-reduced stochastic gradient methods. Math. Program. 191(2): 671-715 (2022) - [j53]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. Proc. IEEE 110(2): 224-245 (2022) - [j52]Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis:
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. Pattern Recognit. 122: 108274 (2022) - [j51]Jingwei Liang, Tao Luo, Carola-Bibiane Schönlieb:
Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier. SIAM J. Sci. Comput. 44(3): 1069- (2022) - [j50]Madeleine S. Kotzagiannidis, Carola-Bibiane Schönlieb:
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j49]Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb:
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. IEEE Trans. Image Process. 31: 1805-1815 (2022) - [c38]Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Stylegan-Induced Data-Driven Regularization for Inverse Problems. ICASSP 2022: 3788-3792 - [c37]Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price:
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. ISBI 2022: 1-4 - [c36]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI 2022: 1-5 - [c35]Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. MIUA 2022: 130-138 - [c34]Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. WACV 2022: 72-81 - [c33]Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration. WBIR 2022: 190-193 - [e1]Guang Yang, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb:
Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings. Lecture Notes in Computer Science 13413, Springer 2022, ISBN 978-3-031-12052-7 [contents] - [i110]Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price:
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. CoRR abs/2201.05530 (2022) - [i109]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR abs/2201.06505 (2022) - [i108]Irene Fonseca, Lisa Maria Kreusser, Carola-Bibiane Schönlieb, Matthew Thorpe:
Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation. CoRR abs/2202.04965 (2022) - [i107]Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. CoRR abs/2203.00157 (2022) - [i106]Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading. CoRR abs/2203.04013 (2022) - [i105]Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Predicting conversion of mild cognitive impairment to Alzheimer's disease. CoRR abs/2203.04725 (2022) - [i104]Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation. CoRR abs/2203.05684 (2022) - [i103]Simone Parisotto, Ninetta Leone, Carola-Bibiane Schönlieb, Alessandro Launaro:
Unsupervised Clustering of Roman Potsherds via Variational Autoencoders. CoRR abs/2203.07437 (2022) - [i102]Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li:
Multi-modal learning for predicting the genotype of glioma. CoRR abs/2203.10852 (2022) - [i101]Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. CoRR abs/2204.02399 (2022) - [i100]Tamara G. Grossmann, Sören Dittmer, Yury Korolev, Carola-Bibiane Schönlieb:
Unsupervised Learning of the Total Variation Flow. CoRR abs/2206.04406 (2022) - [i99]Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned reconstruction with convergence guarantees. CoRR abs/2206.05431 (2022) - [i98]Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb:
Classification of datasets with imputed missing values: does imputation quality matter? CoRR abs/2206.08478 (2022) - [i97]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann:
Non-Uniform Diffusion Models. CoRR abs/2207.09786 (2022) - 2021
- [j48]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. Comput. Biol. Medicine 137: 104815 (2021) - [j47]Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek:
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. Comput. Methods Programs Biomed. 208: 106261 (2021) - [j46]Jiulong Liu, Angelica I. Avilés-Rivero, Hui Ji, Carola-Bibiane Schönlieb:
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction. Medical Image Anal. 68: 101930 (2021) - [j45]Angelica I. Avilés-Rivero, Noémie Debroux, Guy B. Williams, Martin J. Graves, Carola-Bibiane Schönlieb:
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction. Medical Image Anal. 68: 101933 (2021) - [j44]Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Carole Le Guyader, Carola-Bibiane Schönlieb:
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution. Medical Image Anal. 68: 101941 (2021) - [j43]Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 3(3): 199-217 (2021) - [j42]Jia Wu, Chao Li, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei, Carola-Bibiane Schönlieb, Stephen John Price, David Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li:
Radiological tumour classification across imaging modality and histology. Nat. Mach. Intell. 3(9): 787-798 (2021) - [j41]Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiaosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb:
Dynamic spectral residual superpixels. Pattern Recognit. 112: 107705 (2021) - [j40]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction in Inverse Problems. SIAM J. Imaging Sci. 14(1): 92-127 (2021) - [j39]Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. 14(2): 814-843 (2021) - [j38]Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb:
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM J. Imaging Sci. 14(4): 1932-1970 (2021) - [j37]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb:
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. IEEE Trans. Image Process. 30: 3555-3567 (2021) - [c32]Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma. BrainLes@MICCAI (1) 2021: 124-139 - [c31]Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price:
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. BrainLes@MICCAI (1) 2021: 140-150 - [c30]Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb:
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification. DGM4MICCAI/DALI@MICCAI 2021: 103-111 - [c29]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS 2021: 21413-21425 - [c28]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. SSVM 2021: 540-552 - [i96]Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang, Yuan Huang, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen:
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations. CoRR abs/2101.07945 (2021) - [i95]Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb:
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. CoRR abs/2101.08757 (2021) - [i94]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. CoRR abs/2102.04525 (2021) - [i93]Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb:
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. CoRR abs/2102.06496 (2021) - [i92]Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Equivariant neural networks for inverse problems. CoRR abs/2102.11504 (2021) - [i91]Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schönlieb:
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance). CoRR abs/2103.01678 (2021) - [i90]Maria L. Hänel, Carola-Bibiane Schönlieb:
Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement. CoRR abs/2103.11210 (2021) - [i89]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially learned iterative reconstruction for imaging inverse problems. CoRR abs/2103.16151 (2021) - [i88]Madeleine Kotzagiannidis, Carola-Bibiane Schönlieb:
Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data. CoRR abs/2104.13268 (2021) - [i87]Julian D. Gilbey, Carola-Bibiane Schönlieb:
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images. CoRR abs/2105.04515 (2021) - [i86]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. CoRR abs/2105.07467 (2021) - [i85]Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola-Bibiane Schönlieb:
CAFLOW: Conditional Autoregressive Flows. CoRR abs/2106.02531 (2021) - [i84]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR abs/2106.03538 (2021) - [i83]Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schoenlieb:
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. CoRR abs/2106.03755 (2021) - [i82]Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification. CoRR abs/2106.04527 (2021) - [i81]Bogdan Toader, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan:
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise. CoRR abs/2108.03642 (2021) - [i80]Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma. CoRR abs/2108.09423 (2021) - [i79]Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price:
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks. CoRR abs/2109.01854 (2021) - [i78]Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
StyleGAN-induced data-driven regularization for inverse problems. CoRR abs/2110.03814 (2021) - [i77]Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger:
Learning convex regularizers satisfying the variational source condition for inverse problems. CoRR abs/2110.12520 (2021) - [i76]Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation. CoRR abs/2111.00528 (2021) - [i75]Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation. CoRR abs/2111.00533 (2021) - [i74]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: optimising attention for biomedical image segmentation. CoRR abs/2111.00534 (2021) - [i73]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR abs/2111.09461 (2021) - [i72]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann:
Conditional Image Generation with Score-Based Diffusion Models. CoRR abs/2111.13606 (2021) - [i71]Kexin Jin, Jonas Latz, Chenguang Liu, Carola-Bibiane Schönlieb:
A Continuous-time Stochastic Gradient Descent Method for Continuous Data. CoRR abs/2112.03754 (2021) - [i70]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Gerald Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis. CoRR abs/2112.12744 (2021) - 2020
- [j36]L. Robert Hocking, Thomas Holding, Carola-Bibiane Schönlieb:
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them. Found. Comput. Math. 20(6): 1549-1651 (2020) - [j35]Martin Benning, Erlend Skaldehaug Riis, Carola-Bibiane Schönlieb:
Bregman Itoh-Abe Methods for Sparse Optimisation. J. Math. Imaging Vis. 62(6-7): 842-857 (2020) - [j34]Noémie Debroux, John Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola-Bibiane Schönlieb:
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis. SIAM J. Imaging Sci. 13(1): 351-380 (2020) - [j33]Simone Parisotto, Simon Masnou, Carola-Bibiane Schönlieb:
Higher-Order Total Directional Variation: Analysis. SIAM J. Imaging Sci. 13(1): 474-496 (2020) - [j32]Simone Parisotto, Jan Lellmann, Simon Masnou, Carola-Bibiane Schönlieb:
Higher-Order Total Directional Variation: Imaging Applications. SIAM J. Imaging Sci. 13(4): 2063-2104 (2020) - [j31]Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Juheon Lee, Xiaohao Cai, Lan Qie, David A. Coomes:
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm. IEEE Trans. Geosci. Remote. Sens. 58(2): 754-776 (2020) - [j30]Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(6): 4180-4193 (2020) - [j29]Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb:
Variational Osmosis for Non-Linear Image Fusion. IEEE Trans. Image Process. 29: 5507-5516 (2020) - [j28]Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy B. Williams, Carola-Bibiane Schönlieb, Matthias Joachim Ehrhardt:
Learning the Sampling Pattern for MRI. IEEE Trans. Medical Imaging 39(12): 4310-4321 (2020) - [c27]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
Learning to Segment Microscopy Images with Lazy Labels. ECCV Workshops (1) 2020: 411-428 - [c26]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang:
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. ICML 2020: 10158-10169 - [c25]Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems. MLSP 2020: 1-6 - [c24]Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola B. Schönlieb:
Deeply Learned Spectral Total Variation Decomposition. NeurIPS 2020 - [i69]Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification. CoRR abs/2001.05317 (2020) - [i68]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang:
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. CoRR abs/2002.09611 (2020) - [i67]T. Schmoderer, Angelica I. Avilés-Rivero, Veronica Corona, Noémie Debroux, Carola B. Schönlieb:
Learning Optical Flow for Fast MRI Reconstruction. CoRR abs/2004.10464 (2020) - [i66]Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling. CoRR abs/2005.05220 (2020) - [i65]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction. CoRR abs/2005.07069 (2020) - [i64]Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek:
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. CoRR abs/2005.07545 (2020) - [i63]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb:
Multi-task deep learning for image segmentation using recursive approximation tasks. CoRR abs/2005.13053 (2020) - [i62]Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schoenlieb:
Variational regularisation for inverse problems with imperfect forward operators and general noise models. CoRR abs/2005.14131 (2020) - [i61]Simone Parisotto, Alessandro Launaro, Ninetta Leone, Carola-Bibiane Schönlieb:
Unsupervised clustering of Roman pottery profiles from their SSAE representation. CoRR abs/2006.03156 (2020) - [i60]Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I. McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Structure preserving deep learning. CoRR abs/2006.03364 (2020) - [i59]Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Bambang Irawan, Eva Achmad, Muhammad Zudhi, Habibi, Elva Gemita, David A. Coomes:
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs. CoRR abs/2006.06624 (2020) - [i58]Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb:
Deeply Learned Spectral Total Variation Decomposition. CoRR abs/2006.10004 (2020) - [i57]Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass:
Ground Truth Free Denoising by Optimal Transport. CoRR abs/2007.01575 (2020) - [i56]Ninetta Leone, Simone Parisotto, Kasia Targonska-Hadzibabic, Spike Bucklow, Alessandro Launaro, Suzanne Reynolds, Carola-Bibiane Schönlieb:
Art Speaks Maths, Maths Speaks Art. CoRR abs/2007.08886 (2020) - [i55]Andreas Hauptmann, Ozan Öktem, Carola Schönlieb:
Image reconstruction in dynamic inverse problems with temporal models. CoRR abs/2007.10238 (2020) - [i54]Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb:
Learned convex regularizers for inverse problems. CoRR abs/2008.02839 (2020) - [i53]Robert Tovey, Duncan N. Johnstone, Sean M. Collins, William R. B. Lionheart, Paul A. Midgley, Martin Benning, Carola-Bibiane Schönlieb:
Scanning electron diffraction tomography of strain. CoRR abs/2008.03281 (2020) - [i52]Rihuan Ke, Carola-Bibiane Schönlieb:
Unsupervised Image Restoration Using Partially Linear Denoisers. CoRR abs/2008.06164 (2020) - [i51]Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. CoRR abs/2008.06388 (2020) - [i50]Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis:
A Linear Transportation Lp Distance for Pattern Recognition. CoRR abs/2009.11262 (2020) - [i49]Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis:
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. CoRR abs/2010.00378 (2020) - [i48]Veronica Corona, Yehuda Dar, Carola-Bibiane Schönlieb:
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding. CoRR abs/2010.04065 (2020) - [i47]Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Contrastive Registration for Unsupervised Medical Image Segmentation. CoRR abs/2011.08894 (2020) - [i46]Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb:
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. CoRR abs/2012.00827 (2020) - [i45]Yifan Li, Chao Li, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients. CoRR abs/2012.03115 (2020) - [i44]Kaixuan Wei, <