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  • Currently displaying 21 - 40 of 270 publications
Parallel-in-Time Solutions with Random Projection Neural Networks
MM Betcke, LM Kreusser, D Murari
(2024)
(link to publication)
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation
Z Huang, J Ye, H Wang, Z Deng, T Li, J He
– Lecture Notes in Computer Science
(2024)
14544 LNCS,
15
(doi: 10.1007/978-3-031-58776-4_2)
A study on the adequacy of common IQA measures for medical images
A Breger, C Karner, I Selby, J Gröhl, S Dittmer, E Lilley, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, C-B Schönlieb
– Springer Lecture Notes in Electrical Engineering, MICAD conference (2024)
(2024)
(link to publication)
A study of why we need to reassess full reference image quality assessment with medical images
A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, S Hatamikia, C Karner, L Ning, S Dittmer, M Roberts, AIX-COVNET Collaboration, C-B Schönlieb
(2024)
(link to publication)
Can physics-informed neural networks beat the finite element method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
– IMA journal of applied mathematics
(2024)
89,
143
(doi: 10.1093/imamat/hxae011)
Continuous Learned Primal Dual
C Runkel, A Biguri, C-B Schönlieb
(2024)
(link to publication)
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
S Kapoor, EM Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, JM Hofman, J Hullman, MA Lones, MM Malik, P Nanayakkara, RA Poldrack, ID Raji, M Roberts, MJ Salganik, M Serra-Garcia, BM Stewart, G Vandewiele, A Narayanan
– Science advances
(2024)
10,
eadk3452
(doi: 10.1126/sciadv.adk3452)
Reducing the antigen prevalence target threshold for stopping and restarting mass drug administration for lymphatic filariasis elimination: a model-based cost-effectiveness simulation in Tanzania, India, and Haiti
MC Antony Oliver, M Graham, KM Gass, GF Medley, J Clark, EL Davis, LJ Reimer, JD King, KB Pouwels, TD Hollingsworth
– Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
(2024)
78,
s160
(doi: 10.1093/cid/ciae108)
Designing stable neural networks using convex analysis and ODEs
F Sherry, E Celledoni, MJ Ehrhardt, D Murari, B Owren, CB Schönlieb
– Physica D Nonlinear Phenomena
(2024)
463,
134159
(doi: 10.1016/j.physd.2024.134159)
Correction to: The curious case of the test set AUROC (Nature Machine Intelligence, (2024), 6, 4, (373-376), 10.1038/s42256-024-00817-7)
M Roberts, A Hazan, S Dittmer, JHF Rudd, CB Schönlieb
– Nature Machine Intelligence
(2024)
6,
494
(doi: 10.1038/s42256-024-00834-6)
Non-contact, portable, and stand-off infrared thermal imager for security scanning applications
WL Khor, YK Chen, M Roberts, F Ciampa
– AIP Advances
(2024)
14,
045314
(doi: 10.1063/5.0188862)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Trans Neural Netw Learn Syst
(2024)
35,
5306
(doi: 10.1109/tnnls.2022.3203315)
visClust: A visual clustering algorithm based on orthogonal projections
A Breger, C Karner, M Ehler
– Pattern Recognition
(2024)
148,
110136
(doi: 10.1016/j.patcog.2023.110136)
Recent methodological advances in federated learning for healthcare.
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, BloodCounts! consortium, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
– Patterns (N Y)
(2024)
5,
101006
(doi: 10.1016/j.patter.2024.101006)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, CB Schönlieb
– Nature Machine Intelligence
(2024)
6,
373
(doi: 10.1038/s42256-024-00817-7)
Modeling of a Liquid Leaf Target TNSA Experiment Using Particle-In-Cell Simulations and Deep Learning
B Schmitz, D Kreuter, O Boine-Frankenheim
– Laser and Particle Beams
(2024)
2023,
e3
(doi: 10.1155/2023/2868112)
Continuous Learned Primal Dual
C Runkel, A Biguri, CB Schönlieb
– 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
(2024)
00,
1
(doi: 10.1109/mlsp58920.2024.10734760)
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology.
P Fytas, A Breger, I Selby, S Baker, S Shahipasand, A Korhonen
– Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
(2024)
212
(doi: 10.18653/v1/2024.bionlp-1.17)
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, CB Schonlieb, F Sherry
– SIAM Journal on Scientific Computing
(2023)
45,
A3071
(doi: 10.1137/22M1527337)

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