Carola-Bibiane Schönlieb
Orcid: 0000-0003-0099-6306Affiliations:
- University of Cambridge, UK
According to our database1,
Carola-Bibiane Schönlieb
authored at least 248 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
-
on id.loc.gov
-
on d-nb.info
On csauthors.net:
Bibliography
2024
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Pattern Recognit., March, 2024
CoRR, 2024
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation.
CoRR, 2024
CoRR, 2024
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation.
CoRR, 2024
CoRR, 2024
2023
IEEE Trans. Medical Imaging, November, 2023
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds.
SIAM J. Imaging Sci., September, 2023
Nat. Mac. Intell., July, 2023
SIAM J. Math. Data Sci., June, 2023
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
J. Digit. Imaging, April, 2023
IEEE Trans. Medical Imaging, February, 2023
S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection.
IEEE Trans. Multim., 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
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
CoRR, 2023
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation.
CoRR, 2023
CoRR, 2023
Bang and the Artefacts are Gone! Rapid Artefact Removal and Tissue Segmentation in Haematoxylin and Eosin Stained Biopsies.
CoRR, 2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior.
CoRR, 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems.
CoRR, 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images.
CoRR, 2023
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI.
CoRR, 2023
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
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
Proc. IEEE, 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
Nat. Mach. Intell., 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
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
Found. Comput. Math., 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning.
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
Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels.
CoRR, 2022
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning.
CoRR, 2022
Classification of datasets with imputed missing values: does imputation quality matter?
CoRR, 2022
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation.
CoRR, 2022
CoRR, 2022
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
CoRR, 2022
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
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
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
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
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
IEEE Trans. Image Process., 2021
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.
SIAM J. Imaging Sci., 2021
SIAM J. Imaging Sci., 2021
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
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
Learning convex regularizers satisfying the variational source condition for inverse problems.
CoRR, 2021
CoRR, 2021
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
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
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations.
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
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
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
IEEE Trans. Geosci. Remote. Sens., 2020
IEEE Trans. Geosci. Remote. Sens., 2020
SIAM J. Imaging Sci., 2020
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis.
SIAM J. Imaging Sci., 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
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding.
CoRR, 2020
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
CoRR, 2020
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs.
CoRR, 2020
CoRR, 2020
Variational regularisation for inverse problems with imperfect forward operators and general noise models.
CoRR, 2020
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
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
SIAM J. Appl. Dyn. Syst., 2019
Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion.
Remote. Sens., 2019
CoRR, 2019
CoRR, 2019
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data.
CoRR, 2019
CoRR, 2019
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian.
CoRR, 2019
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC).
CoRR, 2019
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
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
Proceedings of the 36th International Conference on Machine Learning, 2019
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
SIAM J. Imaging Sci., 2018
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction.
CoRR, 2018
Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning.
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
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2017
IEEE Trans. Geosci. Remote. Sens., 2017
Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film.
SIAM J. Imaging Sci., 2017
SIAM J. Imaging Sci., 2017
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
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
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
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
CoRR, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Cambridge monographs on applied and computational mathematics 29, Cambridge University Press, ISBN: 978-1-10-700100-8, 2016
2015
Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes.
IEEE Trans. Geosci. Remote. Sens., 2015
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
Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015
2014
J. Math. Imaging Vis., 2014
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests.
CoRR, 2014
2013
Image Process. Line, 2013
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
Proceedings of the Geometric Science of Information - First International Conference, 2013
2012
SIAM J. Imaging Sci., 2012
IET Biom., 2012
2010
A convergent overlapping domain decomposition method for total variation minimization.
Numerische Mathematik, 2010
2009
SIAM J. Numer. Anal., 2009
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