E-LIB Suche - Ergebnisse für: Lüth, Carsten

1

Unsupervised Anomaly Detection in the Wild:

, In: Informatik aktuell; Bildverarbeitung für die Medizin 2022,

Zimmerer, David ; Paech, Daniel ; Lüth, Carsten... - p. 26-31 , 2022

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

2

Conditional Invertible Neural Networks for Diverse Image-to..:

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

Ardizzone, Lynton ; Kruse, Jakob ; Lüth, Carsten... - p. 373-387 , 2021

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

3

Theater an Schulen in Lateinamerika. (Heftthema):

Michel, Herbert ; Lüth, Carsten ; Pereira, Rosamaria
Deutsche Lehrer im Ausland. 43 (1996) 1 - p. 17-25 , 1996

Copies: Zentrale:Magazin Zs fb 3265

4

How do deep-learning models generalize across populations? ..:

D. Almeida, Silvia ; Norajitra, Tobias ; Lüth, Carsten T....
Insights into Imaging. 15 (2024) 1 - p. , 2024

Link: https://doi.org/10.1186/..

5

Capturing COPD heterogeneity: anomaly detection and paramet..:

Almeida, Silvia D. ; Norajitra, Tobias ; Lüth, Carsten T....
Frontiers in Medicine. 11 (2024) - p. , 2024

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

6

Abstract: Reformulating COPD Classification on Chest CT Sca..:

, In: Bildverarbeitung für die Medizin 2024; Informatik aktuell,

Almeida, Silvia D. ; Lüth, Carsten T. ; Norajitra, Tobias... - p. 115-115 , 2024

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

7

Prediction of disease severity in COPD: a deep learning app..:

Almeida, Silvia D. ; Norajitra, Tobias ; Lüth, Carsten T....
European Radiology. 34 (2023) 7 - p. 4379-4392 , 2023

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

8

Contrastive Representations for Unsupervised Anomaly Detect..:

, In: Informatik aktuell; Bildverarbeitung für die Medizin 2023,

Lüth, Carsten T. ; Zimmerer, David ; Koehler, Gregor... - p. 246-252 , 2023

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

9

cOOpD: Reformulating COPD Classification on Chest CT Scans ..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2023,

Almeida, Silvia D. ; Lüth, Carsten T. ; Norajitra, Tobias... - p. 33-43 , 2023

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

10

Navigating the Pitfalls of Active Learning Evaluation: A Sy..:

Lüth, Carsten ; Bungert, Till ; Klein, Lukas.
http://hdl.handle.net/20.500.11850/652157. , 2023

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

11

A Call to Reflect on Evaluation Practices for Failure Detec..:

Jäger, Paul F ; Lüth, Carsten ; Klein, Lukas.
http://hdl.handle.net/20.500.11850/652156. , 2023

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

12

Conditional Invertible Neural Networks for Diverse Image-to..:

Ardizzone, Lynton ; Kruse, Jakob ; Lüth, Carsten...
http://arxiv.org/abs/2105.02104. , 2021

Link: http://arxiv.org/abs/210..

13

Guided Image Generation with Conditional Invertible Neural ..:

Ardizzone, Lynton ; Lüth, Carsten ; Kruse, Jakob..
http://arxiv.org/abs/1907.02392. , 2019

Link: http://arxiv.org/abs/190..

14

ValUES: A Framework for Systematic Validation of Uncertaint..:

Kahl, Kim-Celine ; Lüth, Carsten T ; Zenk, Maximilian..
http://arxiv.org/abs/2401.08501. , 2024

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

15

cOOpD: Reformulating COPD classification on chest CT scans ..:

Almeida, Silvia D ; Lüth, Carsten T ; Norajitra, Tobias...
http://arxiv.org/abs/2307.07254. , 2023

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