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

SCOTCH and SODA: A Transformer Video Shadow Detection Framework.

L Liu, J Prost, L Zhu, N Papadakis, P Liò, C-B Schönlieb, AI Aviles-Rivero

– Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

(2023)

2023-June,

10449

(doi: 10.1109/CVPR52729.2023.01007)

Gray whale detection in satellite imagery using deep learning

KM Green, MK Virdee, HC Cubaynes, AI Aviles‐Rivero, PT Fretwell, PC Gray, DW Johnston, C Schönlieb, LG Torres, JA Jackson

– Remote Sensing in Ecology and Conservation

(2023)

829

(doi: 10.1002/rse2.352)

Robust Data-Driven Accelerated Mirror Descent

HY Tan, S Mukherjee, J Tang, A Hauptmann, C-B Schönlieb

– ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

(2023)

2023-June,

(doi: 10.1109/ICASSP49357.2023.10096875)

Joint Reconstruction-Segmentation on Graphs

JM Budd, Y van Gennip, J Latz, S Parisotto, C-B Schönlieb

– SIAM Journal on Imaging Sciences

(2023)

16,

911

(doi: 10.1137/22M151546X)

A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data

A Breger, I Selby, M Roberts, J Babar, E Gkrania-Klotsas, J Preller, L Escudero Sanchez, J Rudd, J Aston, J Weir-McCall, E Sala, C Schoenlieb

– Scientific data

(2023)

10,

493

(doi: 10.1038/s41597-023-02340-7)

Navigating the development challenges in creating complex data systems.

S Dittmer, M Roberts, J Gilbey, A Biguri, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb

– Nat. Mac. Intell.

(2023)

681

(doi: 10.1038/s42256-023-00665-x)

Expectation-Maximization Regularised Deep Learning for Tumour Segmentation

C Li, W Huang, X Chen, Y Wei, L Zhang, J Zhang, S Price, C-B Schönlieb

– 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

(2023)

2023-April,

(doi: 10.1109/ISBI53787.2023.10230573)

Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories

Y Wei, X Chen, C-B Schönlieb, SJ Price, C Li

– 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

(2023)

2023-April,

(doi: 10.1109/ISBI53787.2023.10230694)

ViGU: Vision GNN U-Net for fast MRI

J Huang, AI Aviles-Rivero, C-B Schönlieb, G Yang

– 2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI

(2023)

2023-April,

(doi: 10.1109/isbi53787.2023.10230600)

Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging

H Fu, Y Zhao, P-T Yap, C-B Schönlieb, AF Frangi

– IEEE Transactions on Medical Imaging

(2023)

42,

332

(doi: 10.1109/tmi.2022.3231755)

Department of Applied Mathematics and Theoretical Physics

Career

Research

Publications

Research Groups

Email

Room

Telephone

Study at Cambridge

About the University

Research at Cambridge