Marius Pedersen
Overview
Explore the profile of Marius Pedersen including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
23
Citations
61
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Cherepkova O, Amirshahi S, Pedersen M
J Imaging
. 2024 Jan;
10(1).
PMID: 38249010
This paper is an investigation in the field of personalized image quality assessment with the focus of studying individual contrast preferences for natural images. To achieve this objective, we conducted...
2.
Vats A, Pedersen M, Mohammed A, Hovde O
Sci Rep
. 2023 Jul;
13(1):10857.
PMID: 37407635
Wireless Capsule Endoscopy (WCE) is being increasingly used as an alternative imaging modality for complete and non-invasive screening of the gastrointestinal tract. Although this is advantageous in reducing unnecessary hospital...
3.
Vats A, Pedersen M, Mohammed A
Int J Comput Assist Radiol Surg
. 2023 May;
18(7):1335-1339.
PMID: 37231202
Purpose: As concept-based reasoning for improving model interpretability becomes promising, the question of how to define good concepts becomes more pertinent. In domains like medical, it is not always feasible...
4.
Xu G, Wang H, Pedersen M, Zhao M, Zhu H
IEEE/ACM Trans Comput Biol Bioinform
. 2023 Apr;
21(4):681-691.
PMID: 37028340
Recently, unpaired medical image enhancement is one of the important topics in medical research. Although deep learning-based methods have achieved remarkable success in medical image enhancement, such methods face the...
5.
Bozorgian A, Pedersen M, Thomas J
J Opt Soc Am A Opt Image Sci Vis
. 2022 Oct;
39(9):1650-1658.
PMID: 36215633
We propose a series of modifications to the Barten contrast sensitivity function model for peripheral vision based on anatomical and psychophysical studies. These modifications result in a luminance pattern detection...
6.
Pedersen M, Amirshahi S, Thomas J, Das M, Iacomussi P, Provenzi E
J Opt Soc Am A Opt Image Sci Vis
. 2022 Oct;
39(6):IQP1.
PMID: 36215545
This feature issue focuses on image quality and perception, including image and video quality, subjective and objective quality, and enhancement. The feature issue contains papers on several important topics, such...
7.
Vats A, Mohammed A, Pedersen M
Sci Rep
. 2022 Sep;
12(1):15708.
PMID: 36127404
The lack of generalizability of deep learning approaches for the automated diagnosis of pathologies in Wireless Capsule Endoscopy (WCE) has prevented any significant advantages from trickling down to real clinical...
8.
Kadyrova A, Pedersen M, Westland S
Materials (Basel)
. 2022 May;
15(10).
PMID: 35629606
Elevation plays a considerable role in naturalness perception of 2.5D prints. The necessary level of elevation to make 2.5D prints look perceptually natural may vary from application to application. Therefore,...
9.
Kadyrova A, Pedersen M, Westland S
Materials (Basel)
. 2022 May;
15(9).
PMID: 35591706
Naturalness is a complex concept. It can involve a variety of attributes. In this work, we considered the effect of elevation and surface roughness on naturalness perception of 2.5D decor...
10.
Mohammed A, Wang C, Zhao M, Ullah M, Naseem R, Wang H, et al.
IEEE Access
. 2021 Nov;
8:155987-156000.
PMID: 34812352
Deep Learning-based chest Computed Tomography (CT) analysis has been proven to be effective and efficient for COVID-19 diagnosis. Existing deep learning approaches heavily rely on large labeled data sets, which...