Professor Carola Bibiane Schönlieb

Professor Schönlieb is Professor of Applied Mathematics at DAMTP and head of the Cambridge Image Analysis group (CIA). Moreover, she is the Director of the Cantab Capital Institute for the Mathematics of Information (CCIMI) and Director of the EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging (CMIH), a Fellow of Jesus College, Cambridge and co-Chair of the Cambridge Centre for Data Driven Discovery (C2D3). Currently I am also chairing the SIAM activity group on Imaging Sciences and the Applied Mathematics Committee of the European Mathematical Society (EMS).

Career

Positions:

since October 2018: Professor at DAMTP, University of Cambridge, UK.
October 2015 to September 2018: Reader at DAMTP, University of Cambridge, UK.
since October 2011: Fellow of Jesus College, Cambridge, UK.
September 2010 to September 2015: Lecturer at DAMTP, University of Cambridge, UK.
September 2009 to September 2010: Postdoc at NAM (Institute of Numerical and Applied Mathematics), Georg-August University Goettingen, Germany.
October 2008 to September 2009: Research Assistant at DAMTP, University of Cambridge.
October 2005 to October 2008: Research Assistant at the Faculty of Mathematics, University of Vienna, Austria.
September 2002 to June 2004: Research Assistant at the Department of Mathematics, University of Salzburg, Austria.

Education:

July 18, 2009: Admission to the degree Doctor of Philosophy, University of Cambridge (UK)
January 30, 2004: Master’s degree in Mathematics with Honors, University of Salzburg (Austria)

Honors and Awards:

2020: Wolfson Fellowship, Royal Society UK.
2019: Calderón Prize, Inverse Problems International Association.
2017: Philip Leverhulme Prize.
2016: Whitehead Prize, London Mathematical Society.
2013: EPSRC Science Photo Award, 1st Prize in the Category People.
2008: Mary Bradburn Award from the BFWG.
2004: Scholarship from the University of Salzburg (Austria) for exceptional achievements as a student
2002: Hans-Stegbuchner-Award from the Department of Mathematics, University of Salzburg (Austria).

Research

Professor Schönlieb's research interests focus on variational methods, partial differential equations and machine learning for image analysis, image processing and inverse imaging problems. She has active interdisciplinary collaborations with clinicians, biologists and physicists on biomedical imaging topics, chemical engineers and plant scientists on image sensing, as well as collaborations with artists and art conservators on digital art restoration.. More details the website of her research group, Cambridge Image Analysis (CIA).

Publications

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

C-W Cheng, Y Zhao, Y Cheng, JA Montoya-Zegarra, C-B Schönlieb, AI Aviles-Rivero

– Lecture Notes in Computer Science

(2025)

15970 LNCS,

304

(doi: 10.1007/978-3-032-05141-7_30)

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction

A Biguri, S Mukherjee, X Zhao, X Liu, X Wang, R Yang, Y Du, Y Peng, M Brudfors, M Graham, H Ryu, O Kutter, A Hauptmann, M Al-Rubaye, MT Nieminen, MAK Brix, A Yunker, R Kettimuthu, JC Roeske, S Alavala, S Gorthi, C-B Schnlieb

– IEEE Open Journal of Signal Processing

(2025)

942

(doi: 10.1109/OJSP.2025.3593189)

Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Linear Inverse Problems

J Tang, G Xu, S Mukherjee, C-B Schönlieb

– Journal of Mathematical Imaging and Vision

(2025)

67,

(doi: 10.1007/s10851-025-01263-9)

Learning homeomorphic image registration via conformal-invariant hyperelastic regularisation

J Zou, N Debroux, L Liu, J Qin, C-B Schönlieb, AI Aviles-Rivero

– Medical Image Analysis

(2025)

105,

103712

(doi: 10.1016/j.media.2025.103712)

Motion Constrained Point Cloud Matching for Maritime Tracking

N Dalhaug, M Baerveldt, AI Aviles-Rivero, C-B Schönlieb, A Stahl, R Mester, EF Brekke

– IEEE Access

(2025)

13,

111354

(doi: 10.1109/ACCESS.2025.3582327)

Deep generative classification of blood cell morphology.

S Deltadahl, J Gilbey, C Van Laer, N Boeckx, MPG Leers, T Freeman, L Aiken, T Farren, M Smith, M Zeina, S MacDonald, D Gleghorn, BloodCounts! consortium, JH Rudd, C Piazzese, J Taylor, N Gleadall, C-B Schönlieb, S Sivapalaratnam, M Roberts, P Nachev

– Nature Machine Intelligence

(2025)

1791

(doi: 10.1038/s42256-025-01122-7)

Trajectory generation for ROI expansion in dental CBCT imaging: An out-of-FOV ROI annotation guided arc scan-based approach.

SMRS Islam, A Biguri, C Landi, G Di Domenico, P Grün, C Sarti, C-B Schönlieb, D Turhani, G Kronreif, W Birkfellner, S Hatamikia

– Computational and Structural Biotechnology Journal

(2025)

28,

211

(doi: 10.1016/j.csbj.2025.06.013)

Training Data Reconstruction: Privacy Due to Uncertainty?

C Runkel, KV Gandikota, J Geiping, C-B Schönlieb, M Moeller

– 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

(2025)

00,

3502

(doi: 10.1109/CVPRW67362.2025.00335)

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

T Deveney, J Stanczuk, L Kreusser, C Budd, C-B Schönlieb

– Philosophical Transactions A

(2025)

383,

20240503

(doi: 10.1098/rsta.2024.0503)

Inverse evolution data augmentation for neural PDE solvers

C Liu, C Budd, C-B Schönlieb

– Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

(2025)

383,

20240242

(doi: 10.1098/rsta.2024.0242)

Department of Applied Mathematics and Theoretical Physics

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