Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Anup Tuladhar"'
Autor:
Anup Tuladhar, Serena Schimert, Deepthi Rajashekar, Helge C. Kniep, Jens Fiehler, Nils D. Forkert
Publikováno v:
IEEE Access, Vol 8, Pp 94871-94879 (2020)
Non-contrast computed tomography (NCCT) is commonly used for volumetric follow-up assessment of ischemic strokes. However, manual lesion segmentation is time-consuming and subject to high inter-observer variability. The aim of this study was to devel
Externí odkaz:
https://doaj.org/article/b9acae2ee2cc47dc946141e435e6cb45
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2021)
Deep neural networks, inspired by information processing in the brain, can achieve human-like performance for various tasks. However, research efforts to use these networks as models of the brain have primarily focused on modeling healthy brain funct
Externí odkaz:
https://doaj.org/article/dc3f4ca0168a451daf3727e49504414c
Publikováno v:
Sensors, Vol 21, Iss 11, p 3874 (2021)
Recent research in computer vision has shown that original images used for training of deep learning models can be reconstructed using so-called inversion attacks. However, the feasibility of this attack type has not been investigated for complex 3D
Externí odkaz:
https://doaj.org/article/9aedc5dab50a4393a672352bc147e219
Publikováno v:
Frontiers in Materials, Vol 5 (2018)
Stroke is a devastating disease for which no clinical treatment exists to regenerate lost tissue. Strategies for brain repair in animal models of stroke include the delivery of drug or cell-based therapeutics; however, the complex anatomy and functio
Externí odkaz:
https://doaj.org/article/2da5f49ee69c4c74a39e396b7823afb5
Publikováno v:
PLoS ONE, Vol 6, Iss 7, p e21973 (2011)
Perceptual learning refers to the improvement of perceptual sensitivity and performance with training. In this study, we examined whether learning is accompanied by a release from mental effort on the task, leading to automatization of the learned ta
Externí odkaz:
https://doaj.org/article/0125fe2112714db8bcbd821583b55bb8
Autor:
Alejandro Gutierrez, Anup Tuladhar, Matthias Wilms, Deepthi Rajashekar, Michael D. Hill, Andrew Demchuk, Mayank Goyal, Jens Fiehler, Nils D. Forkert
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 18:827-836
Multiple medical imaging modalities are used for clinical follow-up ischemic stroke analysis. Mixed-modality datasets are challenging, both for clinical rating purposes and for training machine learning models. While image-to-image translation method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4cbf604a89a8f7b9c5b2eb765088ac6
https://doi.org/10.1007/s11548-022-02828-4
https://doi.org/10.1007/s11548-022-02828-4
Publikováno v:
Journal of the American Medical Informatics Association. 30:112-119
Objective Distributed learning avoids problems associated with central data collection by training models locally at each site. This can be achieved by federated learning (FL) aggregating multiple models that were trained in parallel or training a si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14cf9da602760f018aa6675b6ae250e4
https://doi.org/10.1093/jamia/ocac204
https://doi.org/10.1093/jamia/ocac204
Autor:
Jasmine A. Moore, Anup Tuladhar, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert
Publikováno v:
Neuroinformatics. 21:45-55
Although current research aims to improve deep learning networks by applying knowledge about the healthy human brain and vice versa, the potential of using such networks to model and study neurodegenerative diseases remains largely unexplored. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dc486237fd9274113b8ec2e87f6cc7d
https://doi.org/10.1007/s12021-022-09602-6
https://doi.org/10.1007/s12021-022-09602-6
Publikováno v:
RSC Advances. 12:27473-27482
Amidoxime and carboxylate-containing polymer adsorbents derived from acrylic yarn exhibit high adsorption capacity for lead (Pb2+) ions in water.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b01b9f718e22d382a36752635ff42a3
https://doi.org/10.1039/d2ra04859k
https://doi.org/10.1039/d2ra04859k
Publikováno v:
Medical Imaging 2022: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32621d8ea7aad1c73a95eca0c9489fac
https://doi.org/10.1117/12.2613039
https://doi.org/10.1117/12.2613039