Publications

Latest publications and preprints

By Teo Deveney, Jan Stanczuk, Lisa Maria Kreusser, Chris Budd, Carola-Bibiane Schönlieb Preprint - November 2023

Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation

By M. A. G. Duff, N. D. F. Campbell & M. J. Ehrhardt Journal of Mathematical Imaging and Vision - October 2023

Regularising Inverse Problems with Generative Machine Learning Models

By Andraž Jelinčič, Jiajie Tao, William F. Turner, Thomas Cass, James Foster, Hao Ni Preprint - August 2023

Generative Modelling of Lévy Area for High Order SDE Simulation

By Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt Preprint - August 2023

Dynamic Bilevel Learning with Inexact Line Search

By Bangti Jin, Zehui Zhou, Jun Zou Prepint - August 2023

On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks

By Imraj RD Singh, Alexander Denker, Riccardo Barbano, Željko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon Arridge Preprint - August 2023

Score-Based Generative Models for PET Image Reconstruction

By Tianhao Hu, Bangti Jin, Zhi Zhou Preprint - August 2023

Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks

By Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye Preprint - August 2023

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems

By Bangti Jin, Ramesh Sau, Luowei Yin, Zhi Zhou Prepint - August 2023

Solving Elliptic Optimal Control Problems using Physics Informed Neural Networks

By Tianhao Hu, Bangti Jin, Zhi Zhou SIAM Journal on Scientific Computing, Vol 45, Issue 4 2023

Solving Elliptic Problems with Singular Sources Using Singularity Splitting Deep Ritz Method

By Chris Budd, Rachel Kuske Prepint - May 2023

Dynamic tipping and cyclic folds, in a one-dimensional non-smooth dynamical system linked to climate models

By Marco Nittscher, Michael Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass Preprint - May 2023

SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction

By Siyu Cen, Bangti Jin, Kwancheol Shin, Zhi Zhou Preprint - April 2023

Electrical Impedance Tomography with Deep Calderón Method

By Bangti Jin, Xiyao Li, Qimeng Quan, Zhi Zhou Preprint - March 2023

Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks

By Afonso S. Bandeira, Antoine Maillard, Richard Nickl and Sven Wang Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences; Volume 381, Issue 2247; May 2023

On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions

By Z Kereta, B Jin Preprint - Feb 2023

On the convergence of stochastic gradient descent for linear inverse problems in Banach spaces

By Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Željko Kereta, Bangti Jin Preprint - Feb 2023

Fast and Painless Image Reconstruction in Deep Image Prior Subspaces

By Siyu Cen, Bangti Jin, Qimeng Quan, Zhi Zhou Preprint - Feb 2023

Hybrid Neural-Network FEM Approximation of Diffusion Coefficient in Elliptic and Parabolic Problems

By T Partridge, A Astolfo, SS Shankar, FA Vittoria, M Endrizzi, S Arridge, T. Riley-Smith, I. G. Haig, D. Bate & A. Olivo. Nature communications 13 (1), 1-12 September 2022

Enhanced detection of threat materials by dark-field x-ray imaging combined with deep neural networks.

By R Barbano, Ž Kereta, A Hauptmann, SR Arridge, B Jin. Inverse Problems 38 (10), 104004 September 2022

Unsupervised knowledge-transfer for learned image reconstruction.

By E Maneas, A Hauptmann, EJ Alles, W Xia, S Noimark, AL David, S Arridge, AE Desjardins International Journal of Computer Assisted Radiology and Surgery, 1-5. September 2022

Enhancement of instrumented ultrasonic tracking images using deep learning.

By O Jaubert, J Montalt-Tordera, J Brown, D Knight, S Arridge, J Steeden, V Muthurangu. Magn Reson Med . 2022 Nov;88(5):2179-2189. Epub July 2022

FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation.

By A Stanziola, S. Arridge, B. Cox, B E. Treeby Preprint June 2022

j-Wave: An open-source differentiable wave simulator.

By A Arjas, EJ Alles, E Maneas, S Arridge, A Desjardins, MJ Sillanpää, A Hauptmann. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69. May 2022

Neural Network Kalman Filtering for 3-D Object Tracking From Linear Array Ultrasound Data,

By M Mozumder, A Hauptmann, SR Arridge, T Tarvainen. Technical Digest Series (Optica Publishing Group, 2022), Optics and the Brain paper JTu3A.10 April 2022

Diffuse optical tomography utilizing model-based learning.

By B Jin, R Barbano, S Arridge, R Tanno. Biomedical Image Synthesis and Simulation Methods and Applications - The MICCAI Society book Series 2022, Pages 601-641 July 2022

Uncertainty quantification in medical image synthesis

By Wei, AI Aviles-Rivero, S Wang, Y Huang, FJ Gilbert, CB Schönlieb, CW Chen. Medical Image Analysis 82, 102618 November 2022

Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations

By J Denholm, BA Schreiber, SC Evans, OM Crook, A Sharma, JL Watson, H Bancroft, G Langman, JD Gilbey, CB Schönlieb, MJ Arends, EJ Soilleux Journal of Pathology Informatics, 100151 October 2022.

Multiple-instance-learning-based detection of coeliac disease in histological whole-slide images

By S Dittmer, M Roberts, J Gilbey, A Biguri, AIX-COVNET Collaboration, J Preller, J HF Rudd, J AD Aston, CB Schönlieb. Preprint October 2022

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

By HY Tan, S Mukherjee, J Tang, A Hauptmann, CB Schönlieb. Preprint October 2022

Robust Data-Driven Accelerated Mirror Descent

By S van Gogh, S Mukherjee, M Rawlik, Z Wang, J Xu, Z Varga, CB Schonlieb, M Stampanoni. Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230417 (2022) October 2022

Iterative grating interferometry-based phase-contrast CT reconstruction with a data-driven denoising prior.

By E Celledoni, D Murari, B Owren, CB Schönlieb, F Sherry Preprint October 2022

Dynamical systems' based neural networks

By P Sellars, AI Aviles-Rivero, CB Schönlieb IEEE Transactions on Neural Networks and Learning Systems September 2022

LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.

By Y Cheng, L Liu, S Wang, Y Jin, CB Schönlieb, AI Aviles-Rivero. Preprint September 2022

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

By JO Cross-Zamirski, G Williams, E Mouchet, CB Schönlieb, R Turkki, Y Wang. Preprint November 2022

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

By S van Gogh, S Mukherjee, J Xu, Z Wang, M Rawlik, Z Varga, R Alaifari, CB Schonlieb, M Stampanoni. Plos one 17 (9), e0272963 September 2022

Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior.

By J Tang, S Mukherjee, CB Schönlieb. Preprint August 2022

Accelerating Deep Unrolling Networks via Dimensionality Reduction

By G Batzolis, J Stanczuk, CB Schönlieb, C Etmann. Preprint July 2022

Non-Uniform Diffusion Models

By JO Cross-Zamirski, E Mouchet, G Williams, CB Schönlieb, R Turkki, Y Wang. Scientific reports 12 (1), 1-13 | June 2022

Label-free prediction of cell painting from brightfield images

By HY Tan, S Mukherjee, J Tang, CB Schönlieb. Preprint November 2022

Data-driven mirror descent with input-convex neural networks

By S Mukherjee, A Hauptmann, O Öktem, M Pereyra, CB Schönlieb. Preprint September 2022

Learned reconstruction with convergence guarantees

By TG Grossmann, S Dittmer, Y Korolev, CB Schönlieb. Preprint June 2022

Unsupervised Learning of the Total Variation Flow

By S Parisotto, N Leone, CB Schönlieb, A Launaro Journal of Archaeological Science 142, 105598. April 2022

Unsupervised clustering of Roman potsherds via Variational Autoencoders

By J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems 38 (7), 075006 May 2022

Task adapted reconstruction for inverse problems

By A Conmy, S Mukherjee, CB Schönlieb ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). May 2022

StyleGAN-induced data-driven regularization for inverse problems

By AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, CB Schönlieb Preprint September 2022

Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

By S van Gogh, Z Wang, M Rawlik, C Etmann, S Mukherjee, CB Schönlieb Medical Physics Volume 49, Issue 6 Pages 3729-3748 June 2022

INSIDEnet: Interpretable NonexpanSIve Data‐Efficient network for denoising in grating interferometry breast CT

By Y Chen, CB Schönlieb, P Liò, T Leiner, PL Dragotti, G Wang, D Rueckert Proceedings of the IEEE 110 (2), 224-245. February 2022

AI-based reconstruction for fast MRI—a systematic review and meta-analysis

By K Wei, AI Avilés-Rivero, J Liang, Y Fu, H Huang, CB Schönlieb J. Mach. Learn. Res. 23 (16), 1-48. February 2022

TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems

By D Driggs, J Liang, CB Schönlieb J. Mach. Learn. Res. 23, 24:1-24:43 February 2022

On Biased Stochastic Gradient Estimation

By D Riccio, M J Ehrhardt, M Benning Preprint June 2022

Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning

By M Duff, I JA Simpson, M J Ehrhardt, N DF Campbell Preprint October 2022

Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance

By Teo Deveney, Jan Stanczuk, Lisa Maria Kreusser, Chris Budd, Carola-Bibiane Schönlieb Preprint - November 2023

Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation

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By M. A. G. Duff, N. D. F. Campbell & M. J. Ehrhardt Journal of Mathematical Imaging and Vision - October 2023

Regularising Inverse Problems with Generative Machine Learning Models

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By Andraž Jelinčič, Jiajie Tao, William F. Turner, Thomas Cass, James Foster, Hao Ni Preprint - August 2023

Generative Modelling of Lévy Area for High Order SDE Simulation

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By Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt Preprint - August 2023

Dynamic Bilevel Learning with Inexact Line Search

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By Bangti Jin, Zehui Zhou, Jun Zou Prepint - August 2023

On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks

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By Imraj RD Singh, Alexander Denker, Riccardo Barbano, Željko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon Arridge Preprint - August 2023

Score-Based Generative Models for PET Image Reconstruction

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By Tianhao Hu, Bangti Jin, Zhi Zhou Preprint - August 2023

Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks

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By Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye Preprint - August 2023

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems

Download

By Bangti Jin, Ramesh Sau, Luowei Yin, Zhi Zhou Prepint - August 2023

Solving Elliptic Optimal Control Problems using Physics Informed Neural Networks

Download

By Tianhao Hu, Bangti Jin, Zhi Zhou SIAM Journal on Scientific Computing, Vol 45, Issue 4 2023

Solving Elliptic Problems with Singular Sources Using Singularity Splitting Deep Ritz Method

Download

By Chris Budd, Rachel Kuske Prepint - May 2023

Dynamic tipping and cyclic folds, in a one-dimensional non-smooth dynamical system linked to climate models

Download

By Marco Nittscher, Michael Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass Preprint - May 2023

SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction

Download

By Siyu Cen, Bangti Jin, Kwancheol Shin, Zhi Zhou Preprint - April 2023

Electrical Impedance Tomography with Deep Calderón Method

Download

By Bangti Jin, Xiyao Li, Qimeng Quan, Zhi Zhou Preprint - March 2023

Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks

Download

On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions

Download

By Z Kereta, B Jin Preprint - Feb 2023

On the convergence of stochastic gradient descent for linear inverse problems in Banach spaces

Download

By Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Željko Kereta, Bangti Jin Preprint - Feb 2023

Fast and Painless Image Reconstruction in Deep Image Prior Subspaces

Download

By Siyu Cen, Bangti Jin, Qimeng Quan, Zhi Zhou Preprint - Feb 2023

Hybrid Neural-Network FEM Approximation of Diffusion Coefficient in Elliptic and Parabolic Problems

Download

By T Partridge, A Astolfo, SS Shankar, FA Vittoria, M Endrizzi, S Arridge, T. Riley-Smith, I. G. Haig, D. Bate & A. Olivo. Nature communications 13 (1), 1-12 September 2022

Enhanced detection of threat materials by dark-field x-ray imaging combined with deep neural networks.

Download

By R Barbano, Ž Kereta, A Hauptmann, SR Arridge, B Jin. Inverse Problems 38 (10), 104004 September 2022

Unsupervised knowledge-transfer for learned image reconstruction.

Download

By E Maneas, A Hauptmann, EJ Alles, W Xia, S Noimark, AL David, S Arridge, AE Desjardins International Journal of Computer Assisted Radiology and Surgery, 1-5. September 2022

Enhancement of instrumented ultrasonic tracking images using deep learning.

Download

By O Jaubert, J Montalt-Tordera, J Brown, D Knight, S Arridge, J Steeden, V Muthurangu. Magn Reson Med . 2022 Nov;88(5):2179-2189. Epub July 2022

FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation.

Download

By A Stanziola, S. Arridge, B. Cox, B E. Treeby Preprint June 2022