Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Brosch, Tom
71  Ergebnisse:
Personensuche X
?
1

Automated segmentation of 3D cine cardiovascular magnetic r..:

Tayebi Arasteh, Soroosh ; Romanowicz, Jennifer ; Pace, Danielle F....
Frontiers in Cardiovascular Medicine.  10 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
?
2

Learned iterative segmentation of highly variable anatomy f..:

Pace, Danielle F. ; Dalca, Adrian V. ; Brosch, Tom...
Medical Image Analysis.  80 (2022)  - p. 102469 , 2022
Link: https://doi.org/10.1016/..
 
?
3

Automated detection and segmentation of thoracic lymph node..:

Iuga, Andra-Iza ; Carolus, Heike ; Höink, Anna J....
BMC Medical Imaging.  21 (2021)  1 - p. , 2021
Link: https://doi.org/10.1186/..
 
?
4

Model-based segmentation using neural network-based boundar..:

Brosch, Tom ; Peters, Jochen ; Groth, Alexandra..
Machine Learning with Applications.  6 (2021)  - p. 100078 , 2021
Link: https://doi.org/10.1016/..
 
?
5

Iterative Segmentation from Limited Training Data: Applicat..:

, In: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support; Lecture Notes in Computer Science,
Pace, Danielle F. ; Dalca, Adrian V. ; Brosch, Tom... - p. 334-342 , 2018
Link: https://doi.org/10.1007/..
 
?
6

Organ-At-Risk Segmentation in Brain MRI Using Model-Based S..:

, In: Shape in Medical Imaging; Lecture Notes in Computer Science,
Orasanu, Eliza ; Brosch, Tom ; Glide-Hurst, Carri. - p. 291-299 , 2018
Link: https://doi.org/10.1007/..
 
?
7

Deep Learning-Based Boundary Detection for Model-Based Segm..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; Lecture Notes in Computer Science,
Brosch, Tom ; Peters, Jochen ; Groth, Alexandra.. - p. 515-522 , 2018
Link: https://doi.org/10.1007/..
 
?
8

Deep learning of joint myelin and T1w MRI features in norma..:

Yoo, Youngjin ; Tang, Lisa Y.W. ; Brosch, Tom...
NeuroImage: Clinical.  17 (2018)  - p. 169-178 , 2018
Link: https://doi.org/10.1016/..
 
?
9

Spinal cord grey matter segmentation challenge:

Prados, Ferran ; Ashburner, John ; Blaiotta, Claudia...
NeuroImage.  152 (2017)  - p. 312-329 , 2017
Link: https://doi.org/10.1016/..
 
?
10

Automated segmentation of 3D cine cardiovascular magnetic r..:

Tayebi Arasteh, Soroosh ; Romanowicz, Jennifer ; Pace, Danielle F...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613522/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
?
11

Automated detection and segmentation of thoracic lymph node..:

Iuga, Andra-Iza ; Carolus, Heike ; Höink, Anna J...
https://repository.publisso.de/resource/frl:6462873.  , 2021
Link: https://repository.publi..
 
?
12

Automated detection and segmentation of thoracic lymph node..:

Iuga, Andra-Iza ; Carolus, Heike ; Höink, Anna J...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045346/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
?
13

3D medical image segmentation with labeled and unlabeled da..:

Sital, Cheryl ; Brosch, Tom ; Tio, Dominique..
http://arxiv.org/abs/2003.07923.  , 2020
Link: http://arxiv.org/abs/200..
 
?
14

Iterative Segmentation from Limited Training Data: Applicat..:

Pace, Danielle F ; Dalca, Adrian V ; Brosch, Tom...
10.1007/978-3-030-00889-5_38.  , 2019
Link: https://hdl.handle.net/1..
 
?
15

Iterative Segmentation from Limited Training Data: Applicat..:

Pace, Danielle Frances ; Dalca, Adrian Vasile ; Brosch, Tom...
10.1007/978-3-030-00889-5_38.  , 2019
Link: https://hdl.handle.net/1..
 
1-15