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  • Currently displaying 241 - 260 of 600 publications
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)
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)
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)
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation.
M Yeung, L Rundo, Y Nan, E Sala, C-B Schönlieb, G Yang
– Journal of digital imaging
(2022)
36,
739
(doi: 10.1007/s10278-022-00735-3)
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)
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)
On Krylov Methods for Large Scale CBCT Reconstruction
MS Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schonlieb
(2022)
(link to publication)
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)
Artificial intelligence for early detection of renal cancer in computed tomography: A review
WC McGough, LE Sanchez, C McCague, GD Stewart, C-B Schönlieb, E Sala, M Crispin-Ortuzar
– Cambridge Prisms: Precision Medicine
(2022)
1,
e4
(doi: 10.1017/pcm.2022.9)
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,
a169.3
(doi: 10.1136/thorax-2022-BTSabstracts.298)
Discretization of parameter identification in PDEs using neural networks
B Kaltenbacher, TTN Nguyen
– Inverse Problems
(2022)
38,
124007
(doi: 10.1088/1361-6420/ac9c25)
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior
S Wang, L Zhu, H Fu, J Qin, C-B Schönlieb, W Feng, S Wang
– COMPUTER VISION, ECCV 2022, PT XIX
(2022)
13679,
565
(doi: 10.1007/978-3-031-19800-7_33)
Multiple-instance-learning-based detection of coeliac disease in histological whole-slide images
J Denholm, BA Schreiber, SC Evans, OM Crook, A Sharma, JL Watson, H Bancroft, G Langman, JD Gilbey, C-B Schönlieb, MJ Arends, EJ Soilleux
– Journal of pathology informatics
(2022)
13,
100151
(doi: 10.1016/j.jpi.2022.100151)
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)
Iterative grating interferometry-based phase-contrast CT reconstruction with a data-driven denoising prior
S van Gogh, S Mukherjee, M Rawlik, Z Wang, J Xu, Z Varga, C-B Schönlieb, M Stampanoni
– Proceedings of SPIE the International Society for Optical Engineering
(2022)
12304,
25
(doi: 10.1117/12.2646437)
Monitoring early-successional trees for tropical forest restoration using low-cost UAV-based species classification
J Williams, TD Jackson, C-B Schönlieb, T Swinfield, B Irawan, E Achmad, M Zudhi, H Habibi, E Gemita, DA Coomes
– Frontiers in Forests and Global Change
(2022)
5,
876448
(doi: 10.3389/ffgc.2022.876448)
Dynamical systems' based neural networks
E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry
(2022)
(link to publication)
Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients
Y Wei, C Li, Z Cui, RC Mayrand, J Zou, ALKC Wong, R Sinha, T Matys, C-B Schönlieb, SJ Price
– Brain : a journal of neurology
(2022)
146,
1714
(doi: 10.1093/brain/awac360)
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification
J Zhu, S Wang, J He, C-B Schönlieb, L Yu
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2022)
13574 LNCS,
110
(doi: 10.1007/978-3-031-17266-3_11)

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