Publications

Latest publications and preprints

By Chris Budd, Rachel Kuske Physica D: Nonlinear Phenomena Volumer 457 January 2024

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

By D Riccio, M J Ehrhardt, M Benning Numerical Algebra, Control and Optimization (NACO) - Early Access January 2024

Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning

By Matthias J. Ehrhardt, Silvia Gazzola, Sebastian J. Scott Preprint May 2023, revised January 2024

On Optimal Regularization Parameters via Bilevel Learning

By E Celledoni, D Murari, B Owren, CB Schönlieb, F Sherry SIAM Journal on Scientific Computing Volume 45, Issue 6, pp A3071- A3094 December 2023

Dynamical systems' based neural networks

By M Roberts, A Hazan, S Dittmer, JHF Rudd, Carola-Bibiane Schönlieb Preprint - December 2023

The curious case of the test set AUROC

By Siyu Cen, Bangti Jin, Kwancheol Shin, Zhi Zhou Journal of Computational Physics Volume 493, 15 November 2023

Electrical Impedance Tomography with Deep Calderón Method

By Imraj Singh, Alexander Denker, Bangti Jin, Kris Thielemans, Simon Arridge Proceedings of the IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector (RTSD) Conference 2023. (pp. pp. 1-2). IEEE (In press). November 2023

Investigating Intensity Normalisation for PET Reconstruction with Supervised Deep Learning

By O Jaubert, M Pascale, J Montalt-Tordera, J Akesson, R Virsinskaite, D Knight. S Arridge, J Steeden, V Muthurangu Preprint - November 2023

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction

By Matthias J Ehrhardt, Lindon Roberts IMA Journal of Applied Mathematics, November 2023

Analyzing inexact hypergradients for bilevel learning

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 Simon Arridge, Andreas Hauptmann, Yury Korolev Preprint - November 2023

Inverse Problems with Learned Forward Operators

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 Siyu Cen, Bangti Jin, Qimeng Quan, Zhi Zhou IMA Journal of Numerical Analysis, 00 1-35 18 September 2023

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

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 Kreusser LM, Osher SJ, Wang B European Journal of Applied Mathematics. 2023;34(4):738-757. August 2023

A deterministic gradient-based approach to avoid saddle points

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 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 M Duff, I JA Simpson, M J Ehrhardt, N DF Campbell Physics in Medicine & Biology, Volume 68, Number 16, August 2023

VAEs with structured image covariance applied to compressed sensing MRI

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 Z Kereta, B Jin SIAM Journal on Imaging Science, Vol 16, Issue 2, pp 671-705 June 2023

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

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 A Stanziola, S Arridge, BT Cox, BE Treeby. JASA Express Letters 3 (5) May 2023

A learned Born series for highly-scattering media

By A Stanziola, S. Arridge, B. Cox, B E. Treeby SoftwareX, Volume 22, May 2023

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

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

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

By Niko Hänninen, Aki Pulkkinen, Simon Arridge, Tanja Tarvainen Photons Plus Ultrasound: Imaging and Sensing 2023. Proceeding of SPIE Volume 12379, pp 246-253. March 2023

Image reconstruction in quantitative photoacoustic tomography using adaptive optical Monte Carlo

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 D Chen, M Davies, MJ Ehrhardt, CB Schonlieb, F Sherry, J Tachella IEEE Signal Processing Magazine ( Volume: 40, Issue: 1, January 2023

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning

By S Mukherjee, A Hauptmann, O Öktem, M Pereyra, CB Schönlieb. IEEE Signal Processing Magazine, vol. 40, no. 1, pp. 164-182, Jan. 2023

Learned reconstruction methods with convergence guarantees

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 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. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, 2023

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 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. Trustworthy Machine Learning for Healthcare. TML4H 2023. Lecture Notes in Computer Science, vol 13932, July 2023

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

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. SIAM Journal on Mathematics of Data Science Vol 5, Issue 2, pp 558-587, June 2023

Data-driven mirror descent with input-convex neural networks

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 AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, CB Schönlieb Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. MICCAI 2022. Lecture Notes in Computer Science, vol 13433 September 2022

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

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

Unsupervised Learning of the Total Variation Flow

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

On Biased Stochastic Gradient Estimation

By Chris Budd, Rachel Kuske Physica D: Nonlinear Phenomena Volumer 457 January 2024

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

Download
By D Riccio, M J Ehrhardt, M Benning Numerical Algebra, Control and Optimization (NACO) - Early Access January 2024

Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning

Download
By Matthias J. Ehrhardt, Silvia Gazzola, Sebastian J. Scott Preprint May 2023, revised January 2024

On Optimal Regularization Parameters via Bilevel Learning

Download
By E Celledoni, D Murari, B Owren, CB Schönlieb, F Sherry SIAM Journal on Scientific Computing Volume 45, Issue 6, pp A3071- A3094 December 2023

Dynamical systems' based neural networks

Download
By M Roberts, A Hazan, S Dittmer, JHF Rudd, Carola-Bibiane Schönlieb Preprint - December 2023

The curious case of the test set AUROC

Download
By Siyu Cen, Bangti Jin, Kwancheol Shin, Zhi Zhou Journal of Computational Physics Volume 493, 15 November 2023

Electrical Impedance Tomography with Deep Calderón Method

Download
By Imraj Singh, Alexander Denker, Bangti Jin, Kris Thielemans, Simon Arridge Proceedings of the IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector (RTSD) Conference 2023. (pp. pp. 1-2). IEEE (In press). November 2023

Investigating Intensity Normalisation for PET Reconstruction with Supervised Deep Learning

Download
By O Jaubert, M Pascale, J Montalt-Tordera, J Akesson, R Virsinskaite, D Knight. S Arridge, J Steeden, V Muthurangu Preprint - November 2023

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction

Download
By Matthias J Ehrhardt, Lindon Roberts IMA Journal of Applied Mathematics, November 2023

Analyzing inexact hypergradients for bilevel learning

Download
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

Download
By Simon Arridge, Andreas Hauptmann, Yury Korolev Preprint - November 2023

Inverse Problems with Learned Forward Operators

Download
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

Download
By Siyu Cen, Bangti Jin, Qimeng Quan, Zhi Zhou IMA Journal of Numerical Analysis, 00 1-35 18 September 2023

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

Download
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

Download
By Kreusser LM, Osher SJ, Wang B European Journal of Applied Mathematics. 2023;34(4):738-757. August 2023

A deterministic gradient-based approach to avoid saddle points

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

Dynamic Bilevel Learning with Inexact Line Search

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

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

Download
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

Download
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 M Duff, I JA Simpson, M J Ehrhardt, N DF Campbell Physics in Medicine & Biology, Volume 68, Number 16, August 2023

VAEs with structured image covariance applied to compressed sensing MRI

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 Z Kereta, B Jin SIAM Journal on Imaging Science, Vol 16, Issue 2, pp 671-705 June 2023

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

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 A Stanziola, S Arridge, BT Cox, BE Treeby. JASA Express Letters 3 (5) May 2023

A learned Born series for highly-scattering media

Download
By A Stanziola, S. Arridge, B. Cox, B E. Treeby SoftwareX, Volume 22, May 2023

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

Download
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

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
By Niko Hänninen, Aki Pulkkinen, Simon Arridge, Tanja Tarvainen Photons Plus Ultrasound: Imaging and Sensing 2023. Proceeding of SPIE Volume 12379, pp 246-253. March 2023

Image reconstruction in quantitative photoacoustic tomography using adaptive optical Monte Carlo

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 D Chen, M Davies, MJ Ehrhardt, CB Schonlieb, F Sherry, J Tachella IEEE Signal Processing Magazine ( Volume: 40, Issue: 1, January 2023

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning

Download
By S Mukherjee, A Hauptmann, O Öktem, M Pereyra, CB Schönlieb. IEEE Signal Processing Magazine, vol. 40, no. 1, pp. 164-182, Jan. 2023

Learned reconstruction methods with convergence guarantees

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 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,

Download
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.

Download
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

Download
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

Download
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

Download
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.

Download
By HY Tan, S Mukherjee, J Tang, A Hauptmann, CB Schönlieb. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, 2023

Robust Data-Driven Accelerated Mirror Descent

Download
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.

Download
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.

Download
By Y Cheng, L Liu, S Wang, Y Jin, CB Schönlieb, AI Aviles-Rivero. Trustworthy Machine Learning for Healthcare. TML4H 2023. Lecture Notes in Computer Science, vol 13932, July 2023

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

Download
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

Download
By HY Tan, S Mukherjee, J Tang, CB Schönlieb. SIAM Journal on Mathematics of Data Science Vol 5, Issue 2, pp 558-587, June 2023

Data-driven mirror descent with input-convex neural networks

Download
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.

Download
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.

Download
By AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, CB Schönlieb Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. MICCAI 2022. Lecture Notes in Computer Science, vol 13433 September 2022

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

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

Accelerating Deep Unrolling Networks via Dimensionality Reduction

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

Non-Uniform Diffusion Models

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

Unsupervised Learning of the Total Variation Flow

Download
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

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

Task adapted reconstruction for inverse problems

Download
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

Download
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

Download
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

Download
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

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

On Biased Stochastic Gradient Estimation

Download

Latest publications and preprints

2024

By Chris Budd, Rachel Kuske

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

Physica D: Nonlinear Phenomena Volumer 457 January 2024
By D Riccio, M J Ehrhardt, M Benning

Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning

Numerical Algebra, Control and Optimization (NACO) - Early Access January 2024
By Matthias J. Ehrhardt, Silvia Gazzola, Sebastian J. Scott

On Optimal Regularization Parameters via Bilevel Learning

Preprint May 2023, revised January 2024

2023

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

Dynamical systems' based neural networks

SIAM Journal on Scientific Computing Volume 45, Issue 6, pp A3071- A3094 December 2023
By M Roberts, A Hazan, S Dittmer, JHF Rudd, Carola-Bibiane Schönlieb

The curious case of the test set AUROC

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

Electrical Impedance Tomography with Deep Calderón Method

Journal of Computational Physics Volume 493, 15 November 2023
By Imraj Singh, Alexander Denker, Bangti Jin, Kris Thielemans, Simon Arridge

Investigating Intensity Normalisation for PET Reconstruction with Supervised Deep Learning

Proceedings of the IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector (RTSD) Conference 2023. (pp. pp. 1-2). IEEE (In press). November 2023
By O Jaubert, M Pascale, J Montalt-Tordera, J Akesson, R Virsinskaite, D Knight. S Arridge, J Steeden, V Muthurangu

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction

Preprint - November 2023
By Matthias J Ehrhardt, Lindon Roberts

Analyzing inexact hypergradients for bilevel learning

IMA Journal of Applied Mathematics, November 2023
By Teo Deveney, Jan Stanczuk, Lisa Maria Kreusser, Chris Budd, Carola-Bibiane Schönlieb

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

Preprint - November 2023
By Simon Arridge, Andreas Hauptmann, Yury Korolev

Inverse Problems with Learned Forward Operators

Preprint - November 2023
By M. A. G. Duff, N. D. F. Campbell & M. J. Ehrhardt

Regularising Inverse Problems with Generative Machine Learning Models

Journal of Mathematical Imaging and Vision - October 2023
By Siyu Cen, Bangti Jin, Qimeng Quan, Zhi Zhou

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

IMA Journal of Numerical Analysis, 00 1-35 18 September 2023
By Andraž Jelinčič, Jiajie Tao, William F. Turner, Thomas Cass, James Foster, Hao Ni

Generative Modelling of Lévy Area for High Order SDE Simulation

Preprint - August 2023
By Kreusser LM, Osher SJ, Wang B

A deterministic gradient-based approach to avoid saddle points

European Journal of Applied Mathematics. 2023;34(4):738-757. August 2023
By Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt

Dynamic Bilevel Learning with Inexact Line Search

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

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

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

Score-Based Generative Models for PET Image Reconstruction

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

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

Preprint - August 2023
By M Duff, I JA Simpson, M J Ehrhardt, N DF Campbell

VAEs with structured image covariance applied to compressed sensing MRI

Physics in Medicine & Biology, Volume 68, Number 16, August 2023
By Bangti Jin, Ramesh Sau, Luowei Yin, Zhi Zhou

Solving Elliptic Optimal Control Problems using Physics Informed Neural Networks

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

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

SIAM Journal on Scientific Computing, Vol 45, Issue 4 2023
By Z Kereta, B Jin

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

SIAM Journal on Imaging Science, Vol 16, Issue 2, pp 671-705 June 2023
By Marco Nittscher, Michael Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass

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

Preprint - May 2023
By A Stanziola, S Arridge, BT Cox, BE Treeby.

A learned Born series for highly-scattering media

JASA Express Letters 3 (5) May 2023
By A Stanziola, S. Arridge, B. Cox, B E. Treeby

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

SoftwareX, Volume 22, May 2023
By Afonso S. Bandeira, Antoine Maillard, Richard Nickl and Sven Wang

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

Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences; Volume 381, Issue 2247; May 2023
By Bangti Jin, Xiyao Li, Qimeng Quan, Zhi Zhou

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

Preprint - March 2023
By Niko Hänninen, Aki Pulkkinen, Simon Arridge, Tanja Tarvainen

Image reconstruction in quantitative photoacoustic tomography using adaptive optical Monte Carlo

Photons Plus Ultrasound: Imaging and Sensing 2023. Proceeding of SPIE Volume 12379, pp 246-253. March 2023
By Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Željko Kereta, Bangti Jin

Fast and Painless Image Reconstruction in Deep Image Prior Subspaces

Preprint - Feb 2023
By D Chen, M Davies, MJ Ehrhardt, CB Schonlieb, F Sherry, J Tachella

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning

IEEE Signal Processing Magazine ( Volume: 40, Issue: 1, January 2023
By S Mukherjee, A Hauptmann, O Öktem, M Pereyra, CB Schönlieb.

Learned reconstruction methods with convergence guarantees

IEEE Signal Processing Magazine, vol. 40, no. 1, pp. 164-182, Jan. 2023
By HY Tan, S Mukherjee, J Tang, A Hauptmann, CB Schönlieb.

Robust Data-Driven Accelerated Mirror Descent

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, 2023
By Y Cheng, L Liu, S Wang, Y Jin, CB Schönlieb, AI Aviles-Rivero.

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

Trustworthy Machine Learning for Healthcare. TML4H 2023. Lecture Notes in Computer Science, vol 13932, July 2023
By HY Tan, S Mukherjee, J Tang, CB Schönlieb.

Data-driven mirror descent with input-convex neural networks

SIAM Journal on Mathematics of Data Science Vol 5, Issue 2, pp 558-587, June 2023

2022

By T Partridge, A Astolfo, SS Shankar, FA Vittoria, M Endrizzi, S Arridge, T. Riley-Smith, I. G. Haig, D. Bate & A. Olivo.

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

Nature communications 13 (1), 1-12 September 2022
By R Barbano, Ž Kereta, A Hauptmann, SR Arridge, B Jin.

Unsupervised knowledge-transfer for learned image reconstruction.

Inverse Problems 38 (10), 104004 September 2022
By E Maneas, A Hauptmann, EJ Alles, W Xia, S Noimark, AL David, S Arridge, AE Desjardins

Enhancement of instrumented ultrasonic tracking images using deep learning.

International Journal of Computer Assisted Radiology and Surgery, 1-5. September 2022
By O Jaubert, J Montalt-Tordera, J Brown, D Knight, S Arridge, J Steeden, V Muthurangu.

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

Magn Reson Med . 2022 Nov;88(5):2179-2189. Epub July 2022
By A Arjas, EJ Alles, E Maneas, S Arridge, A Desjardins, MJ Sillanpää, A Hauptmann.

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

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69. May 2022
By M Mozumder, A Hauptmann, SR Arridge, T Tarvainen.

Diffuse optical tomography utilizing model-based learning.

Technical Digest Series (Optica Publishing Group, 2022), Optics and the Brain paper JTu3A.10 April 2022
By B Jin, R Barbano, S Arridge, R Tanno.

Uncertainty quantification in medical image synthesis

Biomedical Image Synthesis and Simulation Methods and Applications - The MICCAI Society book Series 2022, Pages 601-641 July 2022
By Wei, AI Aviles-Rivero, S Wang, Y Huang, FJ Gilbert, CB Schönlieb, CW Chen.

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

Medical Image Analysis 82, 102618 November 2022
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

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

Journal of Pathology Informatics, 100151 October 2022
By S Dittmer, M Roberts, J Gilbey, A Biguri, AIX-COVNET Collaboration, J Preller, J HF Rudd, J AD Aston, CB Schönlieb.

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

Preprint October 2022
By S van Gogh, S Mukherjee, M Rawlik, Z Wang, J Xu, Z Varga, CB Schonlieb, M Stampanoni.

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

Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230417 (2022) October 2022
By P Sellars, AI Aviles-Rivero, CB Schönlieb

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

IEEE Transactions on Neural Networks and Learning Systems September 2022
By JO Cross-Zamirski, E Mouchet, G Williams, CB Schönlieb, R Turkki, Y Wang.

Label-free prediction of cell painting from brightfield images

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

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

Preprint November 2022
By S van Gogh, S Mukherjee, J Xu, Z Wang, M Rawlik, Z Varga, R Alaifari, CB Schonlieb, M Stampanoni.

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

Plos one 17 (9), e0272963 September 2022
By AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, CB Schönlieb

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

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. MICCAI 2022. Lecture Notes in Computer Science, vol 13433 September 2022
By J Tang, S Mukherjee, CB Schönlieb.

Accelerating Deep Unrolling Networks via Dimensionality Reduction

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

Non-Uniform Diffusion Models

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

Unsupervised Learning of the Total Variation Flow

Preprint June 2022
By S van Gogh, Z Wang, M Rawlik, C Etmann, S Mukherjee, CB Schönlieb

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

Medical Physics Volume 49, Issue 6 Pages 3729-3748 June 2022
By J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem

Task adapted reconstruction for inverse problems

Inverse Problems 38 (7), 075006 May 2022
By A Conmy, S Mukherjee, CB Schönlieb

StyleGAN-induced data-driven regularization for inverse problems

ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). May 2022
By S Parisotto, N Leone, CB Schönlieb, A Launaro

Unsupervised clustering of Roman potsherds via Variational Autoencoders

Journal of Archaeological Science 142, 105598. April 2022
By K Wei, AI Avilés-Rivero, J Liang, Y Fu, H Huang, CB Schönlieb

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

J. Mach. Learn. Res. 23 (16), 1-48. February 2022
By Y Chen, CB Schönlieb, P Liò, T Leiner, PL Dragotti, G Wang, D Rueckert

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

Proceedings of the IEEE 110 (2), 224-245. February 2022
By D Driggs, J Liang, CB Schönlieb

On Biased Stochastic Gradient Estimation

J. Mach. Learn. Res. 23, 24:1-24:43 February 2022
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