Carola-Bibiane Schönlieb

Affiliations:
  • University of Cambridge, UK


According to our database1, Carola-Bibiane Schönlieb authored at least 194 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications.
IEEE Signal Process. Mag., 2023

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.
IEEE Signal Process. Mag., 2023

2022
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation.
IEEE Trans. Image Process., 2022

Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data.
IEEE Trans. Geosci. Remote. Sens., 2022

Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier.
SIAM J. Sci. Comput., 2022

GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays.
Pattern Recognit., 2022

AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis.
Proc. IEEE, 2022

Unsupervised Image Restoration Using Partially Linear Denoisers.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2022

Accelerating variance-reduced stochastic gradient methods.
Math. Program., 2022

Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations.
Medical Image Anal., 2022

TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems.
J. Mach. Learn. Res., 2022

On Biased Stochastic Gradient Estimation.
J. Mach. Learn. Res., 2022

Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise.
J. Math. Imaging Vis., 2022

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf. Fusion, 2022

A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation.
Found. Comput. Math., 2022

Your diffusion model secretly knows the dimension of the data manifold.
CoRR, 2022

On Krylov Methods for Large Scale CBCT Reconstruction.
CoRR, 2022

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation.
CoRR, 2022

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning.
CoRR, 2022

SCOTCH and SODA: A Transformer Video Shadow Detection Framework.
CoRR, 2022

Maximum Entropy on the Mean and the Cramér Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms.
CoRR, 2022

Navigating the challenges in creating complex data systems: a development philosophy.
CoRR, 2022

Dynamical systems' based neural networks.
CoRR, 2022

Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness.
CoRR, 2022

Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels.
CoRR, 2022

Imaging with Equivariant Deep Learning.
CoRR, 2022

Accelerating Deep Unrolling Networks via Dimensionality Reduction.
CoRR, 2022

Joint reconstruction-segmentation on graphs.
CoRR, 2022

Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning.
CoRR, 2022

Non-Uniform Diffusion Models.
CoRR, 2022

Classification of datasets with imputed missing values: does imputation quality matter?
CoRR, 2022

Learned reconstruction with convergence guarantees.
CoRR, 2022

Unsupervised Learning of the Total Variation Flow.
CoRR, 2022

Multi-modal learning for predicting the genotype of glioma.
CoRR, 2022

Unsupervised Clustering of Roman Potsherds via Variational Autoencoders.
CoRR, 2022

PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation.
CoRR, 2022

Predicting conversion of mild cognitive impairment to Alzheimer's disease.
CoRR, 2022

Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
CoRR, 2022

Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation.
CoRR, 2022

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation.
Comput. Medical Imaging Graph., 2022

You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Stylegan-Induced Data-Driven Regularization for Inverse Problems.
Proceedings of the IEEE International Conference on Acoustics, 2022

Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.
IEEE Trans. Image Process., 2021

On Learned Operator Correction in Inverse Problems.
SIAM J. Imaging Sci., 2021

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.
SIAM J. Imaging Sci., 2021

Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework.
SIAM J. Imaging Sci., 2021

Dynamic spectral residual superpixels.
Pattern Recognit., 2021

Radiological tumour classification across imaging modality and histology.
Nat. Mach. Intell., 2021

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans.
Nat. Mach. Intell., 2021

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 2021

Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction.
Medical Image Anal., 2021

Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution.
Medical Image Anal., 2021

Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction.
Medical Image Anal., 2021

AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis.
CoRR, 2021

A Continuous-time Stochastic Gradient Descent Method for Continuous Data.
CoRR, 2021

Conditional Image Generation with Score-Based Diffusion Models.
CoRR, 2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
CoRR, 2021

Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation.
CoRR, 2021

Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation.
CoRR, 2021

Learning convex regularizers satisfying the variational source condition for inverse problems.
CoRR, 2021

LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification.
CoRR, 2021

CAFLOW: Conditional Autoregressive Flows.
CoRR, 2021

Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy.
CoRR, 2021

An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images.
CoRR, 2021

Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data.
CoRR, 2021

Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement.
CoRR, 2021

Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance).
CoRR, 2021

Equivariant neural networks for inverse problems.
CoRR, 2021

Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization.
CoRR, 2021

A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation.
CoRR, 2021

Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma.
CoRR, 2021

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.
Comput. Methods Programs Biomed., 2021

Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy.
Comput. Biol. Medicine, 2021

Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

End-to-end reconstruction meets data-driven regularization for inverse problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Learning the Sampling Pattern for MRI.
IEEE Trans. Medical Imaging, 2020

Variational Osmosis for Non-Linear Image Fusion.
IEEE Trans. Image Process., 2020

3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2020

Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

Higher-Order Total Directional Variation: Analysis.
SIAM J. Imaging Sci., 2020

Higher-Order Total Directional Variation: Imaging Applications.
SIAM J. Imaging Sci., 2020

A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis.
SIAM J. Imaging Sci., 2020

Bregman Itoh-Abe Methods for Sparse Optimisation.
J. Math. Imaging Vis., 2020

Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them.
Found. Comput. Math., 2020

TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems.
CoRR, 2020

Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients.
CoRR, 2020

Contrastive Registration for Unsupervised Medical Image Segmentation.
CoRR, 2020

Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding.
CoRR, 2020

A Linear Transportation L<sup>p</sup> Distance for Pattern Recognition.
CoRR, 2020

Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
CoRR, 2020

Scanning electron diffraction tomography of strain.
CoRR, 2020

Learned convex regularizers for inverse problems.
CoRR, 2020

Image reconstruction in dynamic inverse problems with temporal models.
CoRR, 2020

Art Speaks Maths, Maths Speaks Art.
CoRR, 2020

Ground Truth Free Denoising by Optimal Transport.
CoRR, 2020

SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs.
CoRR, 2020

Structure preserving deep learning.
CoRR, 2020

Unsupervised clustering of Roman pottery profiles from their SSAE representation.
CoRR, 2020

Variational regularisation for inverse problems with imperfect forward operators and general noise models.
CoRR, 2020

On Learned Operator Correction.
CoRR, 2020

iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling.
CoRR, 2020

Learning Optical Flow for Fast MRI Reconstruction.
CoRR, 2020

Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification.
CoRR, 2020

Deeply Learned Spectral Total Variation Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Segment Microscopy Images with Lazy Labels.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal.
IEEE Trans. Image Process., 2019

Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation.
SIAM J. Sci. Comput., 2019

Stability Analysis of Line Patterns of an Anisotropic Interaction Model.
SIAM J. Appl. Dyn. Syst., 2019

Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion.
Remote. Sens., 2019

Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics.
CoRR, 2019

Deep Reflection Prior.
CoRR, 2019

Total Variation Regularisation with Spatially Variable Lipschitz Constraints.
CoRR, 2019

Dynamic Spectral Residual Superpixels.
CoRR, 2019

PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds.
CoRR, 2019

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data.
CoRR, 2019

GraphX<sup>NET</sup>-Chest X-Ray Classification Under Extreme Minimal Supervision.
CoRR, 2019

A multi-task U-net for segmentation with lazy labels.
CoRR, 2019

Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian.
CoRR, 2019

Deep learning as optimal control problems: models and numerical methods.
CoRR, 2019

Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC).
CoRR, 2019

Solving inverse problems using data-driven models.
Acta Numer., 2019

Total Directional Variation for Video Denoising.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Deep learning for inverse imaging problems: some recent approaches (Conference Presentation).
Proceedings of the Medical Imaging 2019: Image Processing, 2019

GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

On the Connection Between Adversarial Robustness and Saliency Map Interpretability.
Proceedings of the 36th International Conference on Machine Learning, 2019

RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications.
SIAM J. Optim., 2018

Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme.
SIAM J. Imaging Sci., 2018

A Variational Model for Joint Motion Estimation and Image Reconstruction.
SIAM J. Imaging Sci., 2018

Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction.
CoRR, 2018

Task adapted reconstruction for inverse problems.
CoRR, 2018

Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning.
CoRR, 2018

A multi-contrast MRI approach to thalamus segmentation.
CoRR, 2018

Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation.
CoRR, 2018

Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal.
CoRR, 2018

Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts.
CoRR, 2018

Adversarial Regularizers in Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Local Convergence Properties of SAGA/Prox-SVRG and Acceleration.
Proceedings of the 35th International Conference on Machine Learning, 2018

Peekaboo-Where are the Objects? Structure Adjusting Superpixels.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Faster FISTA.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2017

Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film.
SIAM J. Imaging Sci., 2017

Infimal Convolution of Data Discrepancies for Mixed Noise Removal.
SIAM J. Imaging Sci., 2017

Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models.
J. Math. Imaging Vis., 2017

Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images.
J. Math. Imaging Vis., 2017

Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation.
CoRR, 2017

A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery.
CoRR, 2017

Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension.
CoRR, 2017

Learning Filter Functions in Regularisers by Minimising Quotients.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Nonlinear Spectral Image Fusion.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Infimal Convolution Regularisation Functionals of BV and L<sup>p</sup> Spaces - Part I: The Finite p Case.
J. Math. Imaging Vis., 2016

Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion.
CoRR, 2016

A DBN-crf for spectral-spatial classification of hyperspectral data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Partial Differential Equation Methods for Image Inpainting.
Cambridge monographs on applied and computational mathematics 29, Cambridge University Press, ISBN: 978-1-10-700100-8, 2016

2015
Variational Depth From Focus Reconstruction.
IEEE Trans. Image Process., 2015

Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes.
IEEE Trans. Geosci. Remote. Sens., 2015

Analysis and Application of a Nonlocal Hessian.
SIAM J. Imaging Sci., 2015

The structure of optimal parameters for image restoration problems.
CoRR, 2015

Bilevel approaches for learning of variational imaging models.
CoRR, 2015

Mapping individual trees from airborne multi-sensor imagery.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Infimal Convolution Regularisation Functionals of BV and L<sup>p</sup> Spaces. The Case p=∞.
Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015

Preconditioned ADMM with Nonlinear Operator Constraint.
Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015

2014
Imaging with Kantorovich-Rubinstein Discrepancy.
SIAM J. Imaging Sci., 2014

A Combined First and Second Order Variational Approach for Image Reconstruction.
J. Math. Imaging Vis., 2014

Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests.
CoRR, 2014

2013
Bregmanized Domain Decomposition for Image Restoration.
J. Sci. Comput., 2013

Combined First and Second Order Total Variation Inpainting using Split Bregman.
Image Process. Line, 2013

Anisotropic Third-Order Regularization for Sparse Digital Elevation Models.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints.
Proceedings of the System Modeling and Optimization, 2013

A Primal-Dual Approach for a Total Variation Wasserstein Flow.
Proceedings of the Geometric Science of Information - First International Conference, 2013

2012
Wavelet Decomposition Method for L<sub>2/</sub>/TV-Image Deblurring.
SIAM J. Imaging Sci., 2012

Oriented diffusion filtering for enhancing low-quality fingerprint images.
IET Biom., 2012

2010
A convergent overlapping domain decomposition method for total variation minimization.
Numerische Mathematik, 2010

2009
Subspace Correction Methods for Total Variation and <sub>1</sub>-Minimization.
SIAM J. Numer. Anal., 2009

Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images.
SIAM J. Imaging Sci., 2009

2004
Line Segmentation and Analysis with Special Interest to the Duct of a Line.
Proceedings of the ICVGIP 2004, 2004


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