Rupert Ecker
Overview
Explore the profile of Rupert Ecker including associated specialties, affiliations and a list of published articles.
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Articles
18
Citations
298
Followers
0
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Recent Articles
1.
Schmied C, Nelson M, Avilov S, Bakker G, Bertocchi C, Bischof J, et al.
Nat Methods
. 2023 Sep;
21(2):170-181.
PMID: 37710020
Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. However, for scientists wishing to publish obtained images and...
2.
Jiang Q, Stachelscheid J, Bloehdorn J, Pacholewska A, Aszyk C, Grotenhuijs F, et al.
Blood
. 2023 Apr;
142(1):44-61.
PMID: 37023372
In chronic lymphocytic leukemia (CLL), epigenetic alterations are considered to centrally shape the transcriptional signatures that drive disease evolution and underlie its biological and clinical subsets. Characterizations of epigenetic regulators,...
3.
Schmied C, Nelson M, Avilov S, Bakker G, Bertocchi C, Bischof J, et al.
ArXiv
. 2023 Feb;
PMID: 36824427
Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. However for scientists wishing to publish the obtained images...
4.
Mahbod A, Schaefer G, Dorffner G, Hatamikia S, Ecker R, Ellinger I
Front Med (Lausanne)
. 2022 Nov;
9:978146.
PMID: 36438040
Even in the era of precision medicine, with various molecular tests based on omics technologies available to improve the diagnosis process, microscopic analysis of images derived from stained tissue sections...
5.
Verma R, Kumar N, Patil A, Kurian N, Rane S, Graham S, et al.
IEEE Trans Med Imaging
. 2021 Jun;
40(12):3413-3423.
PMID: 34086562
Detecting various types of cells in and around the tumor matrix holds a special significance in characterizing the tumor micro-environment for cancer prognostication and research. Automating the tasks of detecting,...
6.
Mahbod A, Schaefer G, Low C, Dorffner G, Ecker R, Ellinger I
Diagnostics (Basel)
. 2021 Jun;
11(6).
PMID: 34072131
Nuclei instance segmentation can be considered as a key point in the computer-mediated analysis of histological fluorescence-stained (FS) images. Many computer-assisted approaches have been proposed for this task, and among...
7.
Mahbod A, Schaefer G, Bancher B, Low C, Dorffner G, Ecker R, et al.
Comput Biol Med
. 2021 Mar;
132:104349.
PMID: 33774269
Nuclei instance segmentation plays an important role in the analysis of hematoxylin and eosin (H&E)-stained images. While supervised deep learning (DL)-based approaches represent the state-of-the-art in automatic nuclei instance segmentation,...
8.
Yarova P, Huang P, Schepelmann M, Bruce R, Ecker R, Nica R, et al.
J Pharmacol Exp Ther
. 2020 Oct;
376(1):51-63.
PMID: 33115824
Asthma is still an incurable disease, and there is a recognized need for novel small-molecule therapies for people with asthma, especially those poorly controlled by current treatments. We previously demonstrated...
9.
Mahbod A, Tschandl P, Langs G, Ecker R, Ellinger I
Comput Methods Programs Biomed
. 2020 Sep;
197:105725.
PMID: 32882594
Background And Objective: Malignant melanoma (MM) is one of the deadliest types of skin cancer. Analysing dermatoscopic images plays an important role in the early detection of MM and other...
10.
Mahbod A, Schaefer G, Wang C, Dorffner G, Ecker R, Ellinger I
Comput Methods Programs Biomed
. 2020 Apr;
193:105475.
PMID: 32268255
Background And Objective: Skin cancer is among the most common cancer types in the white population and consequently computer aided methods for skin lesion classification based on dermoscopic images are...