E-LIB Suche - Ergebnisse für: Menze, H. Bjoern

1

Why rankings of biomedical image analysis competitions shou..:

Maier-Hein, L. (Lena) ; Eisenmann, M. (Matthias) ; Reinke, A. (Annika)...
info:eu-repo/grantAgreement/EC/FP7/318068. , 2018

Link: http://repub.eur.nl/pub/..

2

Framing image registration as a landmark detection problem ..:

Waldmannstetter, Diana ; Wiestler, Benedikt ; Schwarting, Julian...
http://arxiv.org/abs/2308.01318. , 2023

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

3

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: B..:

Moawad, Ahmed W ; Janas, Anastasia ; Baid, Ujjwal...
http://arxiv.org/abs/2306.00838. , 2023

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

4

A deep learning approach to predict collateral flow in stro..:

Giles Tetteh ; Fernando Navarro ; Raphael Meier...
https://www.frontiersin.org/articles/10.3389/fneur.2023.1039693/full. , 2023

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

5

Identifying core MRI sequences for reliable automatic brain..:

Buchner, Josef A ; Peeken, Jan C ; Etzel, Lucas...
https://resolver.sub.uni-goettingen.de/purl?gro-2/132916. , 2023

Link: https://resolver.sub.uni..

6

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: B..:

Moawad, Ahmed W ; Janas, Anastasia ; Baid, Ujjwal...
Moawad AW, Janas A, Baid U, et al. The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI. Preprint. ArXiv. 2023;arXiv:2306.00838v1. Published 2023 Jun 1.. , 2023

Link: https://hdl.handle.net/1..

7

A deep learning approach to predict collateral flow in stro..:

Tetteh, Giles ; Navarro, Fernando ; Meier, Raphael...
https://boris.unibe.ch/179901/. , 2023

Link: https://boris.unibe.ch/1..

8

Synthetic optical coherence tomography angiographs for deta..:

Kreitner, Linus ; Paetzold, Johannes C ; Rauch, Nikolaus...
http://arxiv.org/abs/2306.10941. , 2023

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

9

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma..:

Adewole, Maruf ; Rudie, Jeffrey D ; Gbadamosi, Anu...
http://arxiv.org/abs/2305.19369. , 2023

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

10

A deep learning approach to predict collateral flow in stro..:

Tetteh, Giles ; Navarro, Fernando ; Meier, Raphael...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990868/. , 2023

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

11

Primitive Simultaneous Optimization of Similarity Metrics f..:

Waldmannstetter, Diana ; Wiestler, Benedikt ; Schwarting, Julian...
http://arxiv.org/abs/2304.01601. , 2023

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

12

Anatomy-Aware Inference of the 3D Standing Spine Posture fr..:

Bayat, Amirhossein ; Pace, Danielle F ; Sekuboyina, Anjany...
https://mediatum.ub.tum.de/1689472. , 2022

Link: https://mediatum.ub.tum...

13

Designing contrasts for rapid, simultaneous parameter quant..:

Gómez, Pedro A ; Molina-Romero, Miguel ; Buonincontri, Guido..
https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/1885. , 2022

Link: https://opus4.kobv.de/op..

14

A diffusion model-free framework with echo time dependence ..:

Molina-Romero, Miguel ; Gómez, Pedro A ; Sperl, Jonathan I...
https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/2821. , 2022

Link: https://opus4.kobv.de/op..

15

Application of machine learning to pretherapeutically estim..:

Xue, Song ; Gafita, Andrei ; Dong, Chao...
https://boris.unibe.ch/171029/. , 2022

Link: https://boris.unibe.ch/1..