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  • Currently displaying 141 - 160 of 330 publications
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, C Shu, X Zou, R Huang, C Zhang, X Liu, D Tu, C Xu, W Zhang, X Wang, A Chen, Y Zeng, D Yang, M-W Wang, N Holalkere, NJ Halin, IR Kamel, J Wu, X Peng, X Wang, J Shao, P Mongkolwat, J Zhang, W Liu, M Roberts, Z Teng, L Beer, LE Sanchez, E Sala, DL Rubin, A Weller, J Lasenby, C Zheng, J Wang, Z Li, C Schönlieb, T Xia
– Nature machine intelligence
(2021)
3,
1081
(doi: 10.1038/s42256-021-00421-z)
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
M Yeung, E Sala, C-B Schönlieb, L Rundo
– Computerized Medical Imaging and Graphics
(2021)
95,
102026
(doi: 10.1016/j.compmedimag.2021.102026)
Late Breaking Abstract - Fully automated airway measurement correlates with radiological disease progression in Idiopathic Pulmonary Fibrosis
M Roberts, K Kirov, T Mclellan, E Morgan, F Kanavati, D Gallagher, P Molyneaux, C-B Schönlieb, A Ruggiero, M Thillai
– m-Health/e-health
(2021)
58,
oa3951
(doi: 10.1183/13993003.congress-2021.OA3951)
S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection
L Zhu, X Wang, P Li, X Yang, Q Zhang, W Wang, C-B Schnlieb, CLP Chen
– IEEE Transactions on Multimedia
(2021)
25,
676
(doi: 10.1109/tmm.2021.3129730)
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, C Shu, X Zou, R Huang, C Zhang, X Liu, D Tu, C Xu, W Zhang, X Wang, A Chen, Y Zeng, D Yang, M-W Wang, N Holalkere, NJ Halin, IR Kamel, J Wu, X Peng, X Wang, J Shao, P Mongkolwat, J Zhang, W Liu, M Roberts, Z Teng, L Beer, LE Sanchez, E Sala, D Rubin, A Weller, J Lasenby, C Zheng, J Wang, Z Li, C-B Schönlieb, T Xia
(2021)
(doi: 10.48550/arxiv.2111.09461)
Label-Free Prediction of Cell Painting from Brightfield Images
J Cross-Zamirski, E Mouchet, G Williams, C-B Schönlieb, R Turkki, Y Wang
(2021)
(doi: 10.1101/2021.11.05.467394)
Enhancing the spatial resolution of hyperpolarized carbon-13 MRI of human brain metabolism using structure guidance
MJ Ehrhardt, FA Gallagher, MA McLean, C-B Schönlieb
– Magnetic resonance in medicine
(2021)
87,
1301
(doi: 10.1002/mrm.29045)
Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis
SE Hickman, R Woitek, EPV Le, YR Im, C Mouritsen Luxhøj, AI Aviles-Rivero, GC Baxter, JW MacKay, FJ Gilbert
– Radiology
(2021)
302,
88
(doi: 10.1148/radiol.2021210391)
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data
MS Kotzagiannidis, C-B Schönlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2021)
60,
1
(doi: 10.1109/TGRS.2021.3112298)
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification
C Li, Y Wei, X Chen, C-B Schönlieb
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2021)
13003,
103
(doi: 10.1007/978-3-030-88210-5_9)
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy.
M Yeung, E Sala, C-B Schönlieb, L Rundo
– Computers in Biology and Medicine
(2021)
137,
104815
(doi: 10.1016/j.compbiomed.2021.104815)
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays.
AI Aviles-Rivero, P Sellars, C-B Schönlieb, N Papadakis
– Pattern Recognit
(2021)
122,
108274
(doi: 10.1016/j.patcog.2021.108274)
Lie group integrators for mechanical systems
E Celledoni, E Çokaj, A Leone, D Murari, B Owren
– International Journal of Computer Mathematics
(2021)
99,
58
(doi: 10.1080/00207160.2021.1966772)
Learning optical flow for fast MRI reconstruction
T Schmoderer, AI Aviles-Rivero, V Corona, N Debroux, C-B Schönlieb
– Inverse Problems
(2021)
37,
095007
(doi: 10.1088/1361-6420/ac164a)
Radiological tumor classification across imaging modality and histology.
J Wu, C Li, M Gensheimer, S Padda, F Kato, H Shirato, Y Wei, C-B Schönlieb, SJ Price, D Jaffray, J Heymach, JW Neal, BW Loo, H Wakelee, M Diehn, R Li
– Nature Machine Intelligence
(2021)
3,
787
(doi: 10.1038/s42256-021-00377-0)
EQUILIBRIA OF AN ANISOTROPIC NONLOCAL INTERACTION EQUATION: ANALYSIS AND NUMERICS
JA Carrillo, B Düring, LM Kreusser, C-B Schönlieb
– Discrete and Continuous Dynamical Systems
(2021)
41,
3985
(doi: 10.3934/dcds.2021025)
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images.
G Wang, X Liu, J Shen, C Wang, Z Li, L Ye, X Wu, T Chen, K Wang, X Zhang, Z Zhou, J Yang, Y Sang, R Deng, W Liang, T Yu, M Gao, J Wang, Z Yang, H Cai, G Lu, L Zhang, L Yang, W Xu, W Wang, A Olvera, I Ziyar, C Zhang, O Li, W Liao, J Liu, W Chen, W Chen, J Shi, L Zheng, L Zhang, Z Yan, X Zou, G Lin, G Cao, LL Lau, L Mo, Y Liang, M Roberts, E Sala, C-B Schönlieb, M Fok, JY-N Lau, T Xu, J He, K Zhang, W Li, T Lin
– Nature biomedical engineering
(2021)
5,
943
(doi: 10.1038/s41551-021-00787-w)
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation
ES Riis, MJ Ehrhardt, GRW Quispel, C-B Schönlieb
– Foundations of Computational Mathematics
(2021)
22,
1351
(doi: 10.1007/s10208-020-09489-2)
Equivariant neural networks for inverse problems.
E Celledoni, MJ Ehrhardt, C Etmann, B Owren, C-B Schönlieb, F Sherry
– Inverse Probl
(2021)
37,
085006
(doi: 10.1088/1361-6420/ac104f)
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
D Kloepfer, AI Aviles-Rivero, D Heydecker
(2021)
(link to publication)

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