Suchergebnisse - "Hering, Alessa"

PubPharm (14)

1

Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy : A Retrospective Register Study

enthalten in: Diagnostics (Basel, Switzerland) | 2023

von Peisen, F. | Gerken, A. | Hering, A. | +7

2

Learn2Reg : Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning

enthalten in: IEEE transactions on medical imaging | 2023

von Hering, A. | Hansen, L. | Mok, T. | +50

3

Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge

enthalten in: Medical image analysis | 2022

von Roth, H. | Xu, Z. | Tor-Díez, C. | +33

UpdateOf: Res Sq. 2021 Jun 04;:. - PMID 34100010

4

Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy

enthalten in: Cancers | 2022

von Peisen, F. | Hänsch, A. | Hering, A. | +8

5

Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment

enthalten in: Frontiers in neuroimaging | 2022

von Canalini, L. | Klein, J. | Waldmannstetter, D. | +9

6

CNN-based lung CT registration with multiple anatomical constraints

enthalten in: Medical image analysis | 2021

von Hering, A. | Häger, S. | Moltz, J. | +3

7

Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge

enthalten in: Research square | 2021

von Roth, H. | Xu, Z. | Diez, C. | +33

UpdateIn: Med Image Anal. 2022 Nov;82:102605. - PMID 36156419

8

Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge

enthalten in: ResearchSquare.com | 2021

von Roth, H. | Xu, Z. | Diez, C. | +33

9

Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge

enthalten in: Segmentation, classification, and registration of multi-modality medical imaging data | 2021

von Häger, S. | Heldmann, S. | Hering, A. | +2

10

mlVIRNET: Improved Deep Learning Registration Using a Coarse to Fine Approach to Capture all Levels of Motion

enthalten in: Bildverarbeitung für die Medizin 2020 | 2020

von Hering, A. | Heldmann, S.