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  • Currently displaying 181 - 200 of 600 publications
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration
HY Tan, S Mukherjee, J Tang, CB Schönlieb
– Transactions on Machine Learning Research
(2024)
2024,
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
JP Stanczuk, G Batzolis, T Deveney, CB Schönlieb
– Proceedings of Machine Learning Research
(2024)
235,
46412
\Gamma-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation
I Fonseca, LM Kreusser, C-B Schoenlieb, M Thorpe
– Indiana University Mathematics Journal
(2024)
73,
189
(doi: 10.1512/iumj.2024.73.9777)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, C-B Schönlieb
(2023)
(doi: 10.48550/arxiv.2312.16188)
Dynamical Systems–Based Neural Networks
E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry
– SIAM Journal on Scientific Computing
(2023)
45,
a3071
(doi: 10.1137/22M1527337)
Deep learning-based Segmentation of Multi-site Disease in Ovarian Cancer
T Buddenkotte, L Rundo, R Woitek, L Escudero Sanchez, L Beer, M Crispin-Ortuzar, C Etmann, S Mukherjee, V Bura, C McCague, H Sahin, R Pintican, M Zerunian, I Allajbeu, N Singh, A Sahdev, L Havrilesky, DE Cohn, NW Bateman, TP Conrads, KM Darcy, GL Maxwell, JB Freymann, O Öktem, JD Brenton, E Sala, C-B Schönlieb
– European Radiology Experimental
(2023)
7,
77
(doi: 10.1186/s41747-023-00388-z)
Neural networks for the approximation of Euler's elastica
E Celledoni, E Çokaj, A Leone, S Leyendecker, D Murari, B Owren, RTSMD Almagro, M Stavole
(2023)
(link to publication)
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Liò, C-B Schönlieb, A Aviles-Rivero
(2023)
(doi: 10.48550/arxiv.2311.18839)
Single-Shot Plug-and-Play Methods for Inverse Problems
Y Cheng, L Zhang, Z Shen, S Wang, L Yu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Z Shen, Y Cheng, RH Chan, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2023)
(doi: 10.48550/arxiv.2311.13610)
Traffic Video Object Detection using Motion Prior
L Liu, Y Cheng, D Chen, J He, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2023)
(doi: 10.48550/arxiv.2311.10092)
Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
M Eliasof, D Murari, F Sherry, C-B Schönlieb
(2023)
(link to publication)
Multi-Modal Learning for Predicting the Genotype of Glioma.
Y Wei, X Chen, L Zhu, L Zhang, C-B Schonlieb, S Price, C Li
– IEEE transactions on medical imaging
(2023)
42,
3167
(doi: 10.1109/tmi.2023.3244038)
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping
Y Li, C Li, Y Wei, S Price, C-B Schönlieb, X Chen
– COMPUTATIONAL MATHEMATICS MODELING IN CANCER ANALYSIS, CMMCA 2023
(2023)
14243,
21
(doi: 10.1007/978-3-031-45087-7_3)
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels
JO Cross-Zamirski, P Anand, G Williams, E Mouchet, Y Wang, C-B Schönlieb
– 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
(2023)
00,
3802
(doi: 10.1109/iccvw60793.2023.00411)
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
(2023)
(doi: 10.48550/arxiv.2310.02874)
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
J Huang, AI Aviles-Rivero, C-B Schönlieb, G Yang
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT X
(2023)
14229 LNCS,
3
(doi: 10.1007/978-3-031-43999-5_1)
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Y Yang, H Fu, AI Aviles-Rivero, C-B Schönlieb, L Zhu
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT VI
(2023)
14225,
95
(doi: 10.1007/978-3-031-43987-2_10)
Adaptive mixed FEM combined with the method of characteristics for stationary convection-diffusion-reaction problems
MCA Oliver, M González
– Finite Elements in Analysis and Design
(2023)
227,
104045
(doi: 10.1016/j.finel.2023.104045)
The impact of imputation quality on machine learning classifiers for datasets with missing values.
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, J Preller, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, AS Rannikko, JAD Aston, J Tang, C-B Schönlieb
– Commun Med (Lond)
(2023)
3,
139
(doi: 10.1038/s43856-023-00356-z)

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