skip to content
Home

Cambridge Image Analysis

Publications

Tips on using this search form

  • All search terms are case-insensitive
  • If you specify more than one search option (e.g. you search for both "Authors" and "Paper title") then the publications returned will be those that match all of your search terms
  • To reset the search form, click here
  • Currently displaying 101 - 120 of 330 publications
Continuous U-Net: Faster, Greater and Noiseless
C-W Cheng, C Runkel, L Liu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
Spectral decomposition of atomic structures in heterogeneous cryo-EM
C Esteve-Yagüe, W Diepeveen, O Öktem, C-B Schönlieb
– Inverse Problems
(2023)
39,
034003
(doi: 10.1088/1361-6420/acb2ba)
Learning Hamiltonians of constrained mechanical systems
E Celledoni, A Leone, D Murari, B Owren
– Journal of Computational and Applied Mathematics
(2023)
417,
114608
(doi: 10.1016/j.cam.2022.114608)
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
S Mukherjee, A Hauptmann, O ktem, M Pereyra, C-B Schnlieb
– IEEE Signal Processing Magazine
(2023)
40,
164
(doi: 10.1109/msp.2022.3207451)
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, C-B Schnlieb, F Sherry, J Tachella
– IEEE Signal Processing Magazine
(2023)
40,
134
(doi: 10.1109/MSP.2022.3205430)
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data.
D Kreuter, S Tull, JD Gilbey, J Preller, B Consortium, JAD Aston, JHF Rudd, S Sivapalaratnam, C-B Schönlieb, NS Gleadall, M Roberts
– CoRR
(2023)
abs/2306.09177,
Learning Posterior Distributions in Underdetermined Inverse Problems
C Runkel, M Moeller, C-B Schönlieb, C Etmann
(2023)
14009,
187
(doi: 10.1007/978-3-031-31975-4_15)
GLPG1205 shows reduction in lung volume decline over 26 weeks vs placebo when measured with novel volumetric CT analysis in IPF patients
M Thillai, K Kirov, E Santermans, M Roberts, P Molyneaux, F Kanavati, D Gallagher, A De Haas-Amatsaleh, T Van Der Aa, P Ford, C Seemayer, B Van Den Blink, A Ruggiero
– 12.01 - Idiopathic interstitial pneumonias
(2022)
60,
836
(doi: 10.1183/13993003.congress-2022.836)
Data-driven multivariate cohort selection and automated CT scan lung volume measurement identifies disease progression in Idiopathic Pulmonary Fibrosis (IPF)
H Manners, T Mclellan, K Kirov, M Roberts, F Kanavati, G Mckenzie, D Gallagher, J Hainsworth, D Dosanjh, P Molyneaux, A Ruggiero, M Thillai
– 12.01 - Idiopathic interstitial pneumonias
(2022)
60,
4502
(doi: 10.1183/13993003.congress-2022.4502)
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Chen, L Liu, S Wang, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
(link to publication)
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Z Deng, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
(link to publication)
USING ARTIFICIAL INTELLIGENCE TO INTERROGATE MULTI-NATIONAL IMAGING DATASETS TO DETERMINE THE MECHANISM OF COVID-19 PNEUMOTHORAX
I Selby, D Driggs, V Majcher, M Roberts, L Escudero Sanchez, J Rudd, E Sala, C Bibiane-Schönlieb, S Marciniak, J Babar
– ‘Infinity War’ – Ongoing clinical challenges in COVID-19
(2022)
77,
A169
(doi: 10.1136/thorax-2022-BTSabstracts.298)
Navigating the challenges in creating complex data systems: a development philosophy
S Dittmer, M Roberts, J Gilbey, A Biguri, A-C Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
(2022)
(doi: 10.48550/arxiv.2210.13191)
Dynamical systems' based neural networks
E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry
(2022)
(link to publication)
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Y Cheng, L Liu, S Wang, Y Jin, C-B Schönlieb, AI Aviles-Rivero
(2022)
(link to publication)
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2022)
13433 LNCS,
717
(doi: 10.1007/978-3-031-16437-8_69)
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb
– MICCAI 2022
(2022)
(doi: 10.48550/arxiv.2204.02399)
Unsupervised Image Restoration Using Partially Linear Denoisers
R Ke, C-B Schonlieb
– IEEE Trans Pattern Anal Mach Intell
(2022)
44,
1
(doi: 10.1109/TPAMI.2021.3070382)
Classification of datasets with imputed missing values: does imputation quality matter?
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torne, E Sala, P Lio, M Patel, A-C Collaboration, JHF Rudd, T Mirtti, A Rannikko, JAD Aston, J Tang, C-B Schönlieb
(2022)
(doi: 10.48550/arxiv.2206.08478)
Label-free prediction of cell painting from brightfield images.
JO Cross-Zamirski, E Mouchet, G Williams, C-B Schönlieb, R Turkki, Y Wang
– Sci Rep
(2022)
12,
10001
(doi: 10.1038/s41598-022-12914-x)

Study at Cambridge

About the University

Research at Cambridge