E-LIB Suche - Ergebnisse für: Daunhawer, Imant

1

Benchmarking the Fairness of Image Upsampling Methods:

, In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency,

Laszkiewicz, Mike ; Daunhawer, Imant ; Vogt, Julia E... - p. 489-517 , 2024

Link: https://dl.acm.org/doi/1..

2

Validating the early phototherapy prediction tool across co..:

Daunhawer, Imant ; Schumacher, Kai ; Badura, Anna...
Frontiers in Pediatrics. 11 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

3

Self-supervised Disentanglement of Modality-Specific and Sh..:

, In: Lecture Notes in Computer Science; Pattern Recognition,

Daunhawer, Imant ; Sutter, Thomas M. ; Marcinkevičs, Ričards. - p. 459-473 , 2021

Link: https://doi.org/10.1007/..

4

PET-Guided Attention Network for Segmentation of Lung Tumor..:

, In: Lecture Notes in Computer Science; Pattern Recognition,

Pattisapu, Varaha Karthik ; Daunhawer, Imant ; Weikert, Thomas... - p. 445-458 , 2021

Link: https://doi.org/10.1007/..

5

Pharmacometrics and Machine Learning Partner to Advance Cli..:

Koch, Gilbert ; Pfister, Marc ; Daunhawer, Imant...
Clinical Pharmacology & Therapeutics. 107 (2020) 4 - p. 926-933 , 2020

Link: https://doi.org/10.1002/..

6

Enhanced early prediction of clinically relevant neonatal h..:

Daunhawer, Imant ; Kasser, Severin ; Koch, Gilbert...
Pediatric Research. 86 (2019) 1 - p. 122-127 , 2019

Link: https://doi.org/10.1038/..

7

Benchmarking the Fairness of Image Upsampling Methods:

Laszkiewicz, Mike ; Daunhawer, Imant ; Vogt, Julia E..
http://arxiv.org/abs/2401.13555. , 2024

Link: http://arxiv.org/abs/240..

8

Validating the early phototherapy prediction tool across co..:

Daunhawer, Imant ; Schumacher, Kai ; Badura, Anna...
info:eu-repo/semantics/altIdentifier/doi/10.3389/fped.2023.1229462. , 2023

Link: https://hdl.handle.net/2..

9

3DIdentBox_part2:

Bizeul, Alice ; Daunhawer, Imant ; Palumbo, Emanuele..
doi:10.5281/zenodo.7699772. , 2023

Link: https://zenodo.org/recor..

10

MMVAE+: Enhancing the Generative Quality of Multimodal VAEs..:

Palumbo, Emanuele ; Daunhawer, Imant ; Vogt, Julia E
http://hdl.handle.net/20.500.11850/637761. , 2023

Link: https://hdl.handle.net/2..

11

Validating the early phototherapy prediction tool across co..:

Daunhawer, Imant ; Schumacher, Kai ; Badura, Anna...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593448/. , 2023

Link: http://www.ncbi.nlm.nih...

12

Multimodal Representation Learning under Weak Supervision:

Daunhawer, Imant
http://hdl.handle.net/20.500.11850/651807. , 2023

Link: https://hdl.handle.net/2..

13

Identifiability Results for Multimodal Contrastive Learning:

Daunhawer, Imant ; Bizeul, Alice ; Palumbo, Emanuele..
http://arxiv.org/abs/2303.09166. , 2023

Link: http://arxiv.org/abs/230..

14

How robust is unsupervised representation learning to distr..:

Shi, Yuge ; Daunhawer, Imant ; Vogt, Julia E...
info:eu-repo/grantAgreement/SNF/Projekte MINT/188466. , 2023

Link: https://hdl.handle.net/2..

15

3DIdentBox_part1:

Bizeul, Alice ; Daunhawer, Imant ; Palumbo, Emanuele..
doi:10.5281/zenodo.7699778. , 2023

Link: https://zenodo.org/recor..