Carola-Bibiane Schönlieb | Academic Influence

Why Is Carola-Bibiane Schönlieb Influential?

Areas of Specialization: Image Processing, Partial Differential Equations
Carola-Bibiane Schönlieb currently holds the title of Professor in Applied and Computational Analysis in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. She is also a Turing Fellow of the Alan Turing Institute, Director of the EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging, and Director of the Cantab Capital Institute for the Mathematics of Information. Schönlieb is Austrian, and completed her MA in mathematics at the University of Salzburg in 2004. She earned her PhD in 2009 at Cambridge, and completed postdoctoral studies at the University of Göttingen.

Schönlieb ’s work is primarily focused in image processing and partial differential equations. In particular, Schönlieb has made significant progress in applying partial differential equations in image analysis and inverse imaging problems, and problems in 3D and 4D imaging. As an interdisciplinarian, Schönlieb’s work has significant implications for a wide range of fields that employ video imaging, including chemical engineering, biomedical sciences, and art.

In addition to her research, Schönlieb is active in encouraging and advocating for women in mathematics, and is active with the European Women in Mathematics Association, and the Committee for Women in Mathematics.

For her work, Schönlieb has received awards and honors including the Whitehead Prize of the London Mathematical Society, the Philip Leverhulme Prize, and was named the Mary Cartwright Lecturer of the London Mathematical Society.

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According to Wikipedia, Carola-Bibiane Schönlieb is an Austrian mathematician who works in image processing and partial differential equations. She is a Fellow of Jesus College, Cambridge and a Professor in Applied and Computational Analysis in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. She is the author of the book Partial Differential Equation Methods for Image Inpainting , on methods for using the solutions to partial differential equations to fill in gaps in digital images.

Carola-Bibiane Schönlieb's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Papers

A Combined First and Second Order Variational Approach for Image Reconstruction (2013) (229)
Solving inverse problems using data-driven models (2019) (212)
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification (2017) (182)
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans (2021) (175)
Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images (2009) (168)
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications (2018) (120)
Unconditionally stable schemes for higher order inpainting (2011) (111)
Adversarial Regularizers in Inverse Problems (2018) (109)
Image denoising: Learning the noise model via nonsmooth PDE-constrained optimization (2013) (80)
Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models (2016) (79)
Imaging with Kantorovich-Rubinstein Discrepancy (2014) (78)
Partial Differential Equation Methods for Image Inpainting (2016) (76)
Combined First and Second Order Total Variation Inpainting using Split Bregman (2013) (74)
On the Connection Between Adversarial Robustness and Saliency Map Interpretability (2019) (70)
Variational Depth From Focus Reconstruction (2015) (68)
Oriented diffusion filtering for enhancing low-quality fingerprint images (2012) (66)
Bilevel approaches for learning of variational imaging models (2015) (64)
Subspace Correction Methods for Total Variation and 1-Minimization (2009) (61)
Regularized Regression and Density Estimation based on Optimal Transport (2012) (54)
A convergent overlapping domain decomposition method for total variation minimization (2010) (53)
Phase reconstruction from velocity-encoded MRI measurements--a survey of sparsity-promoting variational approaches. (2014) (48)
Liquid phase blending of metal-organic frameworks (2018) (47)
Total Variation Regularisation in Measurement and Image space for PET reconstruction (2014) (47)
A generalized model for optimal transport of images including dissipation and density modulation (2015) (45)
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA (2016) (44)
A Variational Model for Joint Motion Estimation and Image Reconstruction (2018) (43)
The structure of optimal parameters for image restoration problems (2015) (42)
Deep learning as optimal control problems: models and numerical methods (2019) (39)
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (2020) (36)
Preconditioned ADMM with Nonlinear Operator Constraint (2015) (33)
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation (2017) (33)
Infimal Convolution of Data Discrepancies for Mixed Noise Removal (2017) (29)
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images (2016) (29)
Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion (2019) (27)
GraphXNET-Chest X-Ray Classification Under Extreme Minimal Supervision (2019) (26)
Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes (2015) (23)
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration (2018) (22)
Learning optimal spatially-dependent regularization parameters in total variation image restoration (2016) (22)
Directional sinogram inpainting for limited angle tomography (2019) (21)
Learning the Sampling Pattern for MRI (2020) (21)
Bregmanized Domain Decomposition for Image Restoration (2013) (21)
Nonlinear Spectral Image Fusion (2017) (20)
Infimal Convolution Regularisation Functionals of BV and $$\varvec{\mathrm {L}}^{\varvec{p}}$$Lp Spaces (2015) (19)
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification (2020) (19)
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework (2021) (19)
Learned convex regularizers for inverse problems. (2020) (19)
Discrete gradient methods for solving variational image regularisation models (2017) (18)
Task adapted reconstruction for inverse problems (2021) (18)
Image Inpainting Using a Fourth-Order Total Variation Flow (2009) (17)
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm (2020) (16)
Inverse Scale Space Decomposition (2016) (16)
Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning (2019) (16)
Enhancing joint reconstruction and segmentation with non-convex Bregman iteration (2019) (15)
Wavelet Decomposition Method for L2//TV-Image Deblurring (2012) (15)
Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme (2018) (15)
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review (2020) (15)
ADI splitting schemes for a fourth-order nonlinear partial differential equation from image processing (2013) (14)
Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints (2013) (14)
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect (2019) (14)
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation (2022) (13)
Image denoising: learning noise distribution via PDE-constrained optimization (2012) (13)
Domain decomposition methods for compressed sensing (2009) (13)
On Learned Operator Correction in Inverse Problems (2021) (13)
TOTAL VARIATION MINIMIZATION WITH AN H − 1 CONSTRAINT (2009) (13)
Pattern formation of a nonlocal, anisotropic interaction model (2016) (12)
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery (2017) (12)
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation (2019) (12)
Infimal Convolution Regularisation Functionals of BV and Lp Spaces. The Case p=∞ (2015) (12)
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images (2021) (12)
Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter and Greedier (2018) (11)
Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme. (2017) (11)
Analysis and Application of a Nonlocal Hessian (2015) (11)
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) (2021) (11)
Structure-preserving deep learning (2021) (10)
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems (2020) (10)
Artificial intelligence in clinical imaging: a health system approach. (2019) (10)
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian (2019) (10)
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction (2021) (10)
Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts (2018) (10)
Infimal Convolution Regularisation Functionals of BV and [Formula: see text] Spaces: Part I: The Finite [Formula: see text] Case. (2016) (9)
Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy (2017) (9)
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation (2021) (9)
Learning Filter Functions in Regularisers by Minimising Quotients (2017) (9)
A Primal-Dual Approach for a Total Variation Wasserstein Flow (2013) (9)
Anisotropic Third-Order Regularization for Sparse Digital Elevation Models (2013) (9)
Infimal convolution regularisation functionals of BV and $\mathrm{L}^{p}$ spaces. Part I: The finite $p$ case (2015) (9)
The Willmore functional and instabilities in the Cahn-Hilliard equation (2008) (9)
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy (2021) (9)
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation (2018) (8)
A multi-task U-net for segmentation with lazy labels (2019) (8)
A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION (2016) (8)
Radiological tumor classification across imaging modality and histology (2021) (8)
An anisotropic interaction model for simulating fingerprints (2019) (8)
Faster PET reconstruction with a stochastic primal-dual hybrid gradient method (2017) (8)
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays (2021) (8)
GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision (2019) (7)
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration (2019) (7)
Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal (2019) (7)
Learning to Segment Microscopy Images with Lazy Labels (2020) (7)
Anisotropic osmosis filtering for shadow removal in images (2019) (7)
Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated with Survivals12 (2019) (7)
Template-Based Image Reconstruction from Sparse Tomographic Data (2019) (7)
Gradient descent in a generalised Bregman distance framework (2016) (7)
Total Variation Meets Topological Persistence: A First Encounter (2010) (7)
A DBN-crf for spectral-spatial classification of hyperspectral data (2016) (7)
Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events (2021) (6)
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC) (2019) (6)
Stability Analysis of Line Patterns of an Anisotropic Interaction Model (2019) (6)
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification (2020) (6)
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination (2020) (6)
SPRING: A fast stochastic proximal alternating method for non-smooth non-convex optimization. (2020) (6)
Variational regularisation for inverse problems with imperfect forward operators and general noise models (2020) (6)
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography (2019) (6)
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise (2021) (6)
Higher-Order Total Directional Variation. Part I: Imaging Applications (2019) (6)
Faster FISTA (2018) (6)
A high-contrast fourth-order PDE from imaging: numerical solution by ADI splitting (2012) (6)
Equivariant neural networks for inverse problems (2021) (5)
Random simulations for generative art construction – some examples (2013) (5)
Peekaboo-Where are the Objects? Structure Adjusting Superpixels (2018) (5)
Variational Osmosis for Non-Linear Image Fusion (2020) (5)
Explorations on anisotropic regularisation of dynamic inverse problems by bilevel optimisation (2016) (5)
A multi‐contrast MRI approach to thalamus segmentation (2020) (5)
Optical flow analysis reveals that Kinesin-mediated advection impacts the orientation of microtubules in the Drosophila oocyte (2020) (5)
Accuracy of manual and automated rectal contours using helical tomotherapy image guidance scans during prostate radiotherapy. (2015) (5)
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction (2021) (5)
End-to-end reconstruction meets data-driven regularization for inverse problems (2021) (5)
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling (2020) (5)
A total variation based regularizer promoting piecewise-Lipschitz reconstructions (2019) (4)
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation (2021) (4)
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis (2020) (4)
When Labelled Data Hurts: Deep Semi-Supervised Classification with the Graph 1-Laplacian (2019) (4)
Adversarially learned iterative reconstruction for imaging inverse problems (2021) (4)
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization (2021) (4)
Learning parametrised regularisation functions via quotient minimisation (2016) (4)
Accelerating variance-reduced stochastic gradient methods (2019) (4)
Mapping individual trees from airborne multi-sensor imagery (2015) (4)
Entropic Comparison of Atomic-Resolution Electron Tomography of Crystals and Amorphous Materials. (2017) (4)
Bregman Itoh–Abe Methods for Sparse Optimisation (2020) (3)
Optical flow analysis reveals that Kinesin-mediated advection impacts on the orientation of microtubules in the Drosophila oocyte (2019) (3)
The Use of Fractal Dimension in Arts Analysis (2004) (3)
TGV sinogram inpainting for limited angle tomography (2014) (3)
Higher-Order Total Directional Variation: Analysis (2020) (3)
Higher-Order Total Directional Variation: Imaging Applications (2020) (3)
Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film (2017) (3)
Learning optimal orders of the underlying Euclidean norm in total variation image denoising (2019) (3)
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification (2021) (3)
N A ] 3 0 O ct 2 01 5 Infimal Convolution Regularisation Functionals of BV and L p Spaces . The Case p = ∞ (2015) (3)
Introduction: Big data and partial differential equations† (2017) (3)
Tomographic reconstruction with spatially varying parameter selection (2018) (3)
Nonlocal higher order evolution equations (2010) (3)
Learning parametrised regularisation functions via quotient minimisation: Learning parametrised regularisation functions via quotient minimisation (2016) (3)
Individual tree species classification from airborne multi-sensor imagery (2016) (3)
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation (2022) (3)
Higher-Order Total Directional Variation. Part II: Analysis (2018) (3)
Total Directional Variation for Video Denoising (2019) (2)
Structural connectome quantifies tumor invasion and predicts survival in glioblastoma patients (2021) (2)
Supporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation (2017) (2)
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations (2021) (2)
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems (2022) (2)
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise (2021) (2)
Image reconstruction in dynamic inverse problems with temporal models (2021) (2)
Deep Learning and Inverse Problems (2019) (2)
On Learned Operator Correction (2020) (2)
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions (2019) (2)
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks (2021) (2)
Dynamic Spectral Residual Superpixels (2021) (2)
The best constant and extremals of the Sobolev embeddings in domains with holes: The $L^\infty$ case (2008) (2)
THE BEST CONSTANT AND EXTREMALS OF THE SOBOLEV EMBEDDINGS IN DOMAINS WITH HOLES: THE L∞ CASE (2008) (2)
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution (2021) (2)
Contrastive Registration for Unsupervised Medical Image Segmentation (2020) (2)
ALTERNATING REGULARISATION IN MEASUREMENT-AND IMAGE SPACE FOR PET RECONSTRUCTION (2011) (2)
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs (2020) (2)
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification (2019) (2)
Deep Reflection Prior (2019) (2)
On Biased Stochastic Gradient Estimation (2022) (2)
Chaos, Noise, Randomness and Coincidence as Constitutional for Generative Art (2010) (2)
A generalization of Cahn-Hilliard inpainting for grayvalue images (2007) (2)
Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics (2019) (2)
A hybrid analytical–numerical algorithm for determining the neuronal current via electroencephalography (2020) (2)
Binary Based Fresco Restoration (2009) (2)
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data (2019) (2)
AN OPTIMIZATION PROBLEM RELATED TO THE BEST SOBOLEV TRACE CONSTANT IN THIN DOMAINS (2008) (1)
Anisotropic Diffusion Filtering with Apriori Estimated Orientation Field for Enhancing Low-quality Fingerprint Images (2010) (1)
105 Machine learning and carotid artery CT radiomics identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack (2020) (1)
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination (2021) (1)
Conditional Image Generation with Score-Based Diffusion Models (2021) (1)
Scanning electron diffraction tomography of strain (2020) (1)
Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations (2019) (1)
SUBSPACE CORRECTION METHODS FOR TOTAL VARIATION AND l 1 − MINIMIZATION MASSIMO (2009) (1)
Publisher Correction: Liquid phase blending of metal-organic frameworks (2018) (1)
Stochastic Primal-Dual Deep Unrolling (2021) (1)
Tree-centric mapping of forest carbon density from airborne LiDAR and hyperspectral data (2015) (1)
AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis (2022) (1)
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds (2019) (1)
Enhancing the spatial resolution of hyperpolarized carbon‐13 MRI of human brain metabolism using structure guidance (2021) (1)
A Linear Transportation Lp Distance for Pattern Recognition (2020) (1)
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence (2021) (1)
Deep learning as optimal control problems (2021) (1)
ANALYSIS AND APPLICATION OF A NON-LOCAL HESSIAN (2014) (1)
Research data supporting "Deep learning as optimal control problems" (2019) (1)
Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition–Induced Hypertension (2021) (1)
Ground Truth Free Denoising by Optimal Transport (2020) (1)
Unsupervised Image Restoration Using Partially Linear Denoisers (2021) (1)
Gradient flows: from theory to application (2016) (1)
Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension (2017) (1)
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them (2020) (1)
Contrast CT classification of asymptomatic and symptomatic carotids in stroke and transient ischaemic attack with deep learning and interpretability (2020) (1)
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation (2021) (0)
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks (2021) (0)
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization (2021) (0)
Inpainting Mechanisms of Transport and Diffusion (2015) (0)
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma (2022) (0)
Deeply Learned Spectral Total Variation Decomposition (2020) (0)
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning (2021) (0)
Unveiling the Invisible — Mathematical Approaches for Virtual Image Restoration in the Arts (2020) (0)
EP-1893: Automatic contouring of soft organs for image-guided prostate radiotherapy (2016) (0)
Improving a Stochastic Algorithm for Regularized PET Image Reconstruction (2020) (0)
Preface for Inverse Problems special issue on learning and inverse problems (2017) (0)
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images (2021) (0)
StyleGAN-induced data-driven regularization for inverse problems (2021) (0)
P14.129 Predicting glioblastoma invasion using multiparametric MRI and a bi-level machine learning approach (2019) (0)
Mini-Workshop: Deep Learning and Inverse Problems (2019) (0)
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding (2020) (0)
Art Speaks Maths, Maths Speaks Art (2020) (0)
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma (2021) (0)
Total Variation Regularisation with Spatially Variable Lipschitz Constraints (2019) (0)
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images. (2021) (0)
SUPPLEMENTARY MATERIALS : A Variational Model Dedicated to Joint 1 Segmentation , Registration and Atlas Generation for Shape Analysis ∗ 2 (2020) (0)
ROCOPOT (ROman COmmonware POTtery) Dataset (2021) (0)
Partial differential equations and variational methods for geometric processing of images (2019) (0)
Automated analysis, interpretation and classification of drawings and paintings (2000) (0)
The Principle of Good Continuation (2015) (0)
Learning convex regularizers satisfying the variational source condition for inverse problems (2021) (0)
Research Data Supporting "Learning Filter Functions in Regularisers by Minimising Quotients" (2017) (0)
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma (2021) (0)
Aalborg Universitet Liquid phase blending of metal-organic frameworks (2018) (0)
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions (2022) (0)
Mathematics of Information (2013) (0)
Density Estimation and Smoothing based on Regularised Optimal Transport Martin Burger (2011) (0)
Motion Correction Resolved for MRI via Multi-Tasking: A Simultaneous Reconstruction and Registration Approach (2019) (0)
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data (2022) (0)
Estimation of the zero-pressure computational start shape of atherosclerotic plaques: improving the backward displacement method with deformation gradient tensor (2021) (0)
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images (2021) (0)
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests (2014) (0)
Low resolution scanned text dataset for optical character recognition (2020) (0)
Preface for the special issue ‘Variational methods and effective algorithms for imaging and vision’ (2020) (0)
How Differential Equations can Make a Bungee Jumper Jump Without a (2008) (0)
Late Breaking Abstract - Fully automated airway measurement correlates with radiological disease progression in Idiopathic Pulmonary Fibrosis (2021) (0)
Learning optical flow for fast MRI reconstruction (2021) (0)
Liquid phase blending of metal-organic frameworks (vol 9, 2135, 2018) (2018) (0)
Inpainting of Ancient Austrian frescoes Wolfgang Baatz (2008) (0)
Focal Attention Networks: optimising attention for biomedical image segmentation (2021) (0)
Unsupervised clustering of Roman pottery profiles from their SSAE representation (2020) (0)
Second-Order Diffusion Equations for Inpainting (2015) (0)
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise. (2021) (0)
Higher-Order PDE Inpainting (2015) (0)
A Continuous-time Stochastic Gradient Descent Method for Continuous Data (2021) (0)
An anisotropic interactionmodel for simulating fingerprints (2019) (0)
Joint Motion Estimation and Source Identification Using Convective Regularisation with an Application to the Analysis of Laser Nanoablations (2021) (0)
Line Segmentation and Analysis with Special Interest to the Duct of a Line (2004) (0)
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients (2020) (0)
Identifying Multiple Invasive Intratumor Habitats in Glioblastoma Using Multi-Parametric Magnetic Resonance Imaging and Copula Transform (2019) (0)
Learning Regularisers for Imaging Inverse Problems: From Quotient Minimisation to Adversarial Neural Networks (2018) (0)
Nonlinear Spectral Image Fusion Supplementary Material (2017) (0)
Overview of Mathematical Inpainting Methods (2015) (0)
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy (2021) (0)
Cahn-Hilliard inpainting and the Willmore functional (2007) (0)
CAFLOW: Conditional Autoregressive Flows (2021) (0)
Label-Free Prediction of Cell Painting from Brightfield Images (2021) (0)
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation (2021) (0)
Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement (2021) (0)
Mathematics of Information – The Second Industrial Revolution (2013) (0)
Deep learning for inverse imaging problems: some recent approaches (Conference Presentation) (2019) (0)
Symposium: Geometric Models and Applications in Image and Surface Processing (2010) (0)
Radiomics applied to carotid CT angiograms can identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack (2020) (0)
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification (2020) (0)
Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement (2021) (0)
The use of discrete gradient methods for total variation type regularization problems in image processing (2016) (0)
S$^3$Net: Self-supervised Self-ensembling Network for Semi-supervised RGB-D Salient Object Detection (2021) (0)
The Mumford-Shah Image Model for Inpainting (2015) (0)
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy (2019) (0)
A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition (2020) (0)
A hybrid analytical-numerical algorithm for determining the neuronal current via EEG (2019) (0)
$\Gamma$-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation (2022) (0)
Research data supporting 'Pattern formation of a nonlocal, anisotropic interaction model' (2017) (0)
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation (2022) (0)
Research data supporting 'An Anisotropic Interaction Model for Simulating Fingerprints' (2017) (0)
Research data supporting the publication "Inverse Scale Space Decomposition". (2017) (0)
Research data supporting the publication 'Nonlinear Spectral Image Fusion' (2017) (0)

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