Carola-Bibiane Schönlieb | Academic Influence

Carola-Bibiane Schönlieb's AcademicInfluence.com Rankings

Mathematics

#3365

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#4972

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Applied Mathematics

#118

World Rank

#133

Historical Rank

Measure Theory

#2449

World Rank

#2924

Historical Rank

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Mathematics

Carola-Bibiane Schönlieb's Degrees

Masters Mathematics University of Vienna
Bachelors Mathematics University of Vienna

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Why Is Carola-Bibiane Schönlieb Influential?

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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 Professor of Applied Mathematics 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.

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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

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans (2020) (466)
Solving inverse problems using data-driven models (2019) (348)
A Combined First and Second Order Variational Approach for Image Reconstruction (2012) (279)
Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification (2017) (244)
Cahn--Hilliard Inpainting and a Generalization for Grayvalue Images (2009) (192)
Adversarial Regularizers in Inverse Problems (2018) (158)
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications (2017) (157)
Unconditionally stable schemes for higher order inpainting (2011) (129)
On the Connection Between Adversarial Robustness and Saliency Map Interpretability (2019) (108)
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation (2021) (105)
Imaging with Kantorovich-Rubinstein Discrepancy (2014) (96)
Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models (2015) (94)
Image denoising: Learning the noise model via nonsmooth PDE-constrained optimization (2013) (92)
Combined First and Second Order Total Variation Inpainting using Split Bregman (2013) (90)
Partial Differential Equation Methods for Image Inpainting (2015) (90)
Variational Depth From Focus Reconstruction (2014) (84)
Subspace Correction Methods for Total Variation and 1-Minimization (2007) (79)
Bilevel approaches for learning of variational imaging models (2015) (75)
Oriented diffusion filtering for enhancing low-quality fingerprint images (2012) (72)
A convergent overlapping domain decomposition method for total variation minimization (2009) (68)
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (2020) (68)
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images (2021) (67)
Deep learning as optimal control problems: models and numerical methods (2019) (59)
Liquid phase blending of metal-organic frameworks (2018) (57)
Regularized Regression and Density Estimation based on Optimal Transport (2012) (57)
Total variation regularization in measurement and image space for PET reconstruction (2014) (54)
Phase reconstruction from velocity-encoded MRI measurements--a survey of sparsity-promoting variational approaches. (2014) (53)
A Variational Model for Joint Motion Estimation and Image Reconstruction (2016) (49)
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA (2016) (49)
The structure of optimal parameters for image restoration problems (2015) (49)
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification (2019) (45)
Blind image fusion for hyperspectral imaging with the directional total variation (2017) (42)
Learning the Sampling Pattern for MRI (2019) (42)
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy (2021) (40)
Preconditioned ADMM with Nonlinear Operator Constraint (2015) (40)
Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion (2019) (40)
GraphXNET-Chest X-Ray Classification Under Extreme Minimal Supervision (2019) (38)
Infimal Convolution of Data Discrepancies for Mixed Noise Removal (2016) (38)
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions (2022) (38)
Radiological tumor classification across imaging modality and histology (2021) (31)
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images (2016) (31)
Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier (2018) (30)
Bregmanized Domain Decomposition for Image Restoration (2013) (29)
AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis (2021) (29)
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm (2019) (28)
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays (2020) (28)
Structure-preserving deep learning (2020) (27)
On Learned Operator Correction in Inverse Problems (2020) (27)
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect (2019) (25)
Task adapted reconstruction for inverse problems (2018) (25)
Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes (2014) (25)
Nonlinear Spectral Image Fusion (2017) (25)
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) (2021) (24)
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation (2019) (22)
Faster PET reconstruction with non-smooth priors by randomization and preconditioning (2018) (22)
End-to-end reconstruction meets data-driven regularization for inverse problems (2021) (22)
Wavelet Decomposition Method for L2//TV-Image Deblurring (2012) (21)
Discrete gradient methods for solving variational image regularisation models (2017) (20)
Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme (2017) (19)
Inverse scale space decomposition (2016) (19)
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review (2020) (18)
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise (2021) (17)
Image Inpainting Using a Fourth-Order Total Variation Flow (2009) (17)
Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme. (2017) (17)
Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events (2021) (17)
Infimal Convolution Regularisation Functionals of BV and Lp Spaces. The Case p=∞ (2015) (17)
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation (2020) (16)
Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts (2018) (15)
Artificial intelligence in clinical imaging: a health system approach. (2019) (15)
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems (2020) (15)
Infimal Convolution Regularisation Functionals of BV and $$\varvec{\mathrm {L}}^{\varvec{p}}$$Lp Spaces (2016) (15)
Variational Osmosis for Non-Linear Image Fusion (2019) (14)
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling (2020) (14)
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery (2017) (14)
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction (2019) (14)
Dynamic Sampling Schemes for Optimal Noise Learning Under Multiple Nonsmooth Constraints (2013) (14)
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification (2021) (14)
Higher-Order Total Directional Variation: Imaging Applications (2018) (13)
Analysis and Application of a Nonlocal Hessian (2015) (13)
Anisotropic osmosis filtering for shadow removal in images (2018) (13)
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination (2020) (12)
Template-Based Image Reconstruction from Sparse Tomographic Data (2018) (12)
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian (2019) (12)
Learning to Segment Microscopy Images with Lazy Labels (2019) (12)
Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated with Survivals12 (2019) (12)
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks (2020) (11)
Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients (2021) (11)
Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy (2016) (11)
Learning Filter Functions in Regularisers by Minimising Quotients (2017) (11)
Faster PET reconstruction with a stochastic primal-dual hybrid gradient method (2017) (11)
Anisotropic Third-Order Regularization for Sparse Digital Elevation Models (2013) (10)
Higher-Order Total Directional Variation: Analysis (2018) (10)
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation (2018) (10)
An anisotropic interaction model for simulating fingerprints (2017) (10)
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography (2019) (10)
The Willmore functional and instabilities in the Cahn-Hilliard equation (2008) (9)
A Primal-Dual Approach for a Total Variation Wasserstein Flow (2013) (9)
A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION (2016) (9)
Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal (2018) (9)
Label-free prediction of cell painting from brightfield images (2021) (9)
Total Variation Meets Topological Persistence: A First Encounter (2010) (9)
A multi-task U-net for segmentation with lazy labels (2019) (9)
Faster FISTA (2018) (8)
Infimal Convolution Regularisation Functionals of BV and [Formula: see text] Spaces: Part I: The Finite [Formula: see text] Case. (2016) (8)
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification (2020) (8)
GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision (2019) (8)
Optical flow analysis reveals that Kinesin-mediated advection impacts the orientation of microtubules in the Drosophila oocyte (2020) (7)
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization (2021) (7)
A DBN-crf for spectral-spatial classification of hyperspectral data (2016) (7)
Stability Analysis of Line Patterns of an Anisotropic Interaction Model (2018) (7)
Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition–Induced Hypertension (2021) (7)
Infimal Convolution Regularisation Functionals of BV and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varvec{\math (2016) (7)
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration (2019) (7)
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data (2021) (6)
Image reconstruction in dynamic inverse problems with temporal models (2020) (6)
Adversarially learned iterative reconstruction for imaging inverse problems (2021) (6)
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma (2022) (6)
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions (2019) (6)
Accuracy of manual and automated rectal contours using helical tomotherapy image guidance scans during prostate radiotherapy. (2015) (6)
A high-contrast fourth-order PDE from imaging: numerical solution by ADI splitting (2012) (6)
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis (2019) (6)
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation (2021) (6)
A Continuous-time Stochastic Gradient Descent Method for Continuous Data (2021) (5)
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning (2020) (5)
Random simulations for generative art construction – some examples (2013) (5)
Learning parametrised regularisation functions via quotient minimisation (2016) (5)
Unsupervised Image Restoration Using Partially Linear Denoisers (2020) (5)
Entropic Comparison of Atomic-Resolution Electron Tomography of Crystals and Amorphous Materials. (2017) (5)
Peekaboo-Where are the Objects? Structure Adjusting Superpixels (2018) (5)
A total variation based regularizer promoting piecewise-Lipschitz reconstructions (2019) (5)
The Use of Fractal Dimension in Arts Analysis (2004) (4)
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution (2019) (4)
Bregman Itoh–Abe Methods for Sparse Optimisation (2019) (4)
Deep Reflection Prior (2019) (4)
Guidefill: GPU Accelerated, Artist Guided Geometric Inpainting for 3D Conversion of Film (2016) (4)
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation (2021) (4)
TGV sinogram inpainting for limited angle tomography (2014) (4)
Deep learning as optimal control problems (2021) (4)
Dynamic Spectral Residual Superpixels (2019) (4)
Introduction: Big data and partial differential equations† (2017) (4)
Mapping individual trees from airborne multi-sensor imagery (2015) (4)
Deeply Learned Spectral Total Variation Decomposition (2020) (3)
On the Bias-Variance Tradeoff in Stochastic Gradient Methods (2019) (3)
Total Directional Variation for Video Denoising (2018) (3)
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification (2019) (3)
Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics (2019) (3)
Unsupervised Clustering of Roman Potsherds via Variational Autoencoders (2022) (3)
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations (2021) (3)
Tomographic reconstruction with spatially varying parameter selection (2018) (3)
Learning optical flow for fast MRI reconstruction (2020) (3)
Higher-Order Total Directional Variation. Part II: Analysis (2018) (3)
A hybrid analytical–numerical algorithm for determining the neuronal current via electroencephalography (2020) (3)
Enhancing the spatial resolution of hyperpolarized carbon‐13 MRI of human brain metabolism using structure guidance (2021) (3)
Nonlocal higher order evolution equations (2010) (3)
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications (2023) (3)
On Biased Stochastic Gradient Estimation (2019) (3)
Binary Based Fresco Restoration (2009) (3)
A generalization of Cahn‐Hilliard inpainting for grayvalue images (2007) (2)
Monitoring early-successional trees for tropical forest restoration using low-cost UAV-based species classification (2022) (2)
Chaos, Noise, Randomness and Coincidence as Constitutional for Generative Art (2010) (2)
Gradient flows: from theory to application (2016) (2)
Learning convex regularizers satisfying the variational source condition for inverse problems (2021) (2)
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation (2021) (2)
On Learned Operator Correction (2020) (2)
Scanning electron diffraction tomography of strain (2020) (2)
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs (2020) (2)
Predicting conversion of mild cognitive impairment to Alzheimer's disease (2022) (2)
Individual tree species classification from airborne multi-sensor imagery (2016) (2)
Optical flow analysis reveals that Kinesin-mediated advection impacts on the orientation of microtubules in the Drosophila oocyte (2019) (2)
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks (2021) (2)
A Linear Transportation Lp Distance for Pattern Recognition (2020) (2)
Deep Learning and Inverse Problems (2019) (2)
THE BEST CONSTANT AND EXTREMALS OF THE SOBOLEV EMBEDDINGS IN DOMAINS WITH HOLES: THE L∞ CASE (2008) (2)
Can Physics-Informed Neural Networks beat the Finite Element Method? (2023) (2)
The best constant and extremals of the Sobolev embeddings in domains with holes: The $L^\infty$ case (2008) (2)
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds (2019) (2)
Accelerating Deep Unrolling Networks via Dimensionality Reduction (2022) (2)
ViGU: Vision GNN U-Net for Fast MRI (2023) (2)
Contrast CT classification of asymptomatic and symptomatic carotids in stroke and transient ischaemic attack with deep learning and interpretability (2020) (2)
ALTERNATING REGULARISATION IN MEASUREMENT-AND IMAGE SPACE FOR PET RECONSTRUCTION (2011) (2)
Ground Truth Free Denoising by Optimal Transport (2020) (1)
SUBSPACE CORRECTION METHODS FOR TOTAL VARIATION AND l 1 − MINIMIZATION MASSIMO (2009) (1)
Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations (2019) (1)
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them (2020) (1)
Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise (2021) (1)
Art Speaks Maths, Maths Speaks Art (2020) (1)
Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension (2017) (1)
AN OPTIMIZATION PROBLEM RELATED TO THE BEST SOBOLEV TRACE CONSTANT IN THIN DOMAINS (2008) (1)
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation (2021) (1)
Tree-centric mapping of forest carbon density from airborne LiDAR and hyperspectral data (2015) (1)
Provably Convergent Plug-and-Play Quasi-Newton Methods (2023) (1)
Revealing and Reconstructing Hidden or Lost Features in Art Investigation (2022) (1)
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization (2021) (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)
Dynamical systems' based neural networks (2022) (1)
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior (2022) (1)
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification (2022) (1)
INSIDEnet: Interpretable NonexpanSIve Data‐Efficient network for denoising in grating interferometry breast CT (2022) (1)
Stylegan-Induced Data-Driven Regularization for Inverse Problems (2021) (1)
Anisotropic Diffusion Filtering with Apriori Estimated Orientation Field for Enhancing Low-quality Fingerprint Images (2010) (1)
N A ] 3 0 O ct 2 01 5 Infimal Convolution Regularisation Functionals of BV and L p Spaces . The Case p = ∞ (2015) (1)
Improving a Stochastic Algorithm for Regularized PET Image Reconstruction (2020) (1)
Unsupervised Learning of the Total Variation Flow (2022) (1)
Spectral decomposition of atomic structures in heterogeneous cryo-EM (2022) (1)
Publisher Correction: Liquid phase blending of metal-organic frameworks (2018) (1)
Unveiling the Invisible — Mathematical Approaches for Virtual Image Restoration in the Arts (2020) (1)
Late Breaking Abstract - Fully automated airway measurement correlates with radiological disease progression in Idiopathic Pulmonary Fibrosis (2021) (1)
Automated analysis, interpretation and classification of drawings and paintings (2000) (0)
Mathematics of Information – The Second Industrial Revolution (2013) (0)
SUPPLEMENTARY MATERIALS : A Variational Model Dedicated to Joint 1 Segmentation , Registration and Atlas Generation for Shape Analysis ∗ 2 (2020) (0)
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration (2022) (0)
Cahn‐Hilliard inpainting and the Willmore functional (2007) (0)
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma (2021) (0)
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning (2022) (0)
Higher-Order PDE Inpainting (2015) (0)
Aalborg Universitet Liquid phase blending of metal-organic frameworks (2018) (0)
Maximum Entropy on the Mean and the Cramér Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms (2022) (0)
Mini-Workshop: Deep Learning and Inverse Problems (2019) (0)
Nonlinear Spectral Image Fusion Supplementary Material (2017) (0)
An anisotropic interaction model for simulating fingerprints (2019) (0)
Analysis of Artifacts in Shell-Based Image Inpainting: Why They Occur and How to Eliminate Them (2020) (0)
Unsupervised clustering of Roman pottery profiles from their SSAE representation (2020) (0)
Liquid phase blending of metal-organic frameworks (2018) (0)
EP-1893: Automatic contouring of soft organs for image-guided prostate radiotherapy (2016) (0)
Symposium: Geometric Models and Applications in Image and Surface Processing (2010) (0)
Second-Order Diffusion Equations for Inpainting (2015) (0)
Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation (2022) (0)
Mathematics of Information (2013) (0)
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy (2021) (0)
HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck (2023) (0)
Line Segmentation and Analysis with Special Interest to the Duct of a Line (2004) (0)
Joint reconstruction-segmentation on graphs (2022) (0)
146 Ct radiomics in carotid artery atherosclerosis: a systematic evaluation of robustness, reproducibility and predictive performance for culprit lesions (2022) (0)
Iterative grating interferometry-based phase-contrast CT reconstruction with a data-driven denoising prior (2022) (0)
ROCOPOT (ROman COmmonware POTtery) Dataset (2021) (0)
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images (2016) (0)
An anisotropic interactionmodel for simulating fingerprints (2019) (0)
Total Variation Regularisation with Spatially Variable Lipschitz Constraints (2019) (0)
Density Estimation and Smoothing based on Regularised Optimal Transport Martin Burger (2011) (0)
Navigating the challenges in creating complex data systems: a development philosophy (2022) (0)
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading (2022) (0)
Identifying Multiple Invasive Intratumor Habitats in Glioblastoma Using Multi-Parametric Magnetic Resonance Imaging and Copula Transform (2019) (0)
Efficient Global Optimization of Non-Differentiable, Symmetric Objectives for Multi Camera Placement (2022) (0)
Learned reconstruction with convergence guarantees (2022) (0)
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma (2021) (0)
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI (2023) (0)
The Principle of Good Continuation (2015) (0)
AI for Early Detection of Renal Cancer in Computed Tomography: A Review (2022) (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)
Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise. (2021) (0)
Motion Correction Resolved for MRI via Multi-Tasking: A Simultaneous Reconstruction and Registration Approach (2019) (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)
Publisher Correction: Liquid phase blending of metal-organic frameworks (2018) (0)
Preface for the special issue ‘Variational methods and effective algorithms for imaging and vision’ (2020) (0)
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence (2022) (0)
Deep learning for inverse imaging problems: some recent approaches (Conference Presentation) (2019) (0)
Template-Based Image Reconstruction from Sparse Tomographic Data (2019) (0)
Bregmanized Domain Decomposition for Image Restoration (2012) (0)
Overview of Mathematical Inpainting Methods (2015) (0)
Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images (2023) (0)
How Differential Equations can Make a Bungee Jumper Jump Without a (2008) (0)
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification (2022) (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)
P14.129 Predicting glioblastoma invasion using multiparametric MRI and a bi-level machine learning approach (2019) (0)
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels (2023) (0)
Lifting-based Global Optimisation over Riemannian Manifolds: Theory and Applications in Cryo-EM (2022) (0)
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests (2014) (0)
Inpainting of Ancient Austrian frescoes Wolfgang Baatz (2008) (0)
Preface for Inverse Problems special issue on learning and inverse problems (2017) (0)
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding (2020) (0)
Structure preserving neural networks based on ODEs (2022) (0)
On Krylov Methods for Large Scale CBCT Reconstruction (2022) (0)
Deep Learning for Inverse Problems (2022) (0)
CAFLOW: Conditional Autoregressive Flows (2021) (0)
Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior (2022) (0)
Inpainting Mechanisms of Transport and Diffusion (2015) (0)
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Studies (2023) (0)
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients (2020) (0)
Estimation of the zero-pressure computational start shape of atherosclerotic plaques: improving the backward displacement method with deformation gradient tensor (2021) (0)
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study (2023) (0)
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning (2023) (0)
A Combined First and Second Order Variational Approach for Image Reconstruction (2013) (0)
Low resolution scanned text dataset for optical character recognition (2020) (0)
Liquid phase blending of metal-organic frameworks (vol 9, 2135, 2018) (2018) (0)
Learning Regularisers for Imaging Inverse Problems: From Quotient Minimisation to Adversarial Neural Networks (2018) (0)
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images (2021) (0)
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence (2021) (0)

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