Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Gregor Urban"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 967-972 (2020)
Total Shoulder Arthroplasty (TSA) is a type of surgery in which the damaged ball of the shoulder is replaced with a prosthesis. Many years later, this prosthesis may be in need of servicing or replacement. In some situations, such as when the patient
Externí odkaz:
https://doaj.org/article/3efa657f4bfc4fa49f77fbfd7820c91a
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 2281-2289 (2020)
The use of evolutionary profiles to predict protein secondary structure, as well as other protein structural features, has been standard practice since the 1990s. Using profiles in the input of such predictors, in place or in addition to the sequence
Externí odkaz:
https://doaj.org/article/e22627988058400796843c5253161dec
Publikováno v:
Journal of Imaging, Vol 8, Iss 5, p 121 (2022)
Colorectal cancer (CRC) is a leading cause of mortality worldwide, and preventive screening modalities such as colonoscopy have been shown to noticeably decrease CRC incidence and mortality. Improving colonoscopy quality remains a challenging task du
Externí odkaz:
https://doaj.org/article/8fcb5044de6e48eb981f488c30a3acb9
Autor:
Gregor Urban, Michael C. Yang, Da-Wen Lu, Lung-Chi Lee, Pierre Baldi, Wallace L.M. Alward, Ken Y. Lin
Publikováno v:
Ophthalmology Glaucoma. 5:402-412
Objective Accurate identification of iridocorneal structures on gonioscopy is difficult to master and errors can lead to grave surgical complications. This study aimed to develop and train convolutional neural networks (CNNs) to accurately identify t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28ed7c42b8a8aa404587cc3827f5baba
https://doi.org/10.1016/j.ogla.2021.11.003
https://doi.org/10.1016/j.ogla.2021.11.003
Autor:
Franchesca Choi, Nate Feil, Ella Csuka, Chloe Ekelem, Kiana Hashemi, Pierre Baldi, Natasha Atanaskova Mesinkovska, Gregor Urban
Publikováno v:
Lasers in Surgery and Medicine. 53:171-178
Background and objectives One of the challenges in developing effective hair loss therapies is the lack of reliable methods to monitor treatment response or alopecia progression. In this study, we propose the use of optical coherence tomography (OCT)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42fce0f32a3703ce919bed80c476de8e
https://doi.org/10.1002/lsm.23324
https://doi.org/10.1002/lsm.23324
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 967-972 (2020)
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 967-972 (2020)
Graphical abstract
Total Shoulder Arthroplasty (TSA) is a type of surgery in which the damaged ball of the shoulder is replaced with a prosthesis. Many years later, this prosthesis may be in need of servicing or replacement. In some situations,
Total Shoulder Arthroplasty (TSA) is a type of surgery in which the damaged ball of the shoulder is replaced with a prosthesis. Many years later, this prosthesis may be in need of servicing or replacement. In some situations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0424819fb2f4c1c93607b49465e49c7a
http://europepmc.org/articles/PMC7186366
http://europepmc.org/articles/PMC7186366
In proteomic analysis pipelines, machine learning post-processors play a critical role in improving the accuracy of shotgun proteomics analysis. Most often performed in a semi-supervised manner, such post-processors accept the peptide-spectrum matche
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d39a80304b45dfcfb9afdf6b1684159
https://doi.org/10.1101/2020.11.12.380881
https://doi.org/10.1101/2020.11.12.380881
Autor:
Christopher Wray, Brent D. Ershoff, Maxime Cannesson, Vatche G. Agopian, Pierre Baldi, Gregor Urban, Christine Lee
Publikováno v:
Transplantation proceedings, vol 52, iss 1
Transplant Proc
Transplant Proc
Prediction models of post-liver transplant mortality are crucial so that donor organs are not allocated to recipients with unreasonably high probabilities of mortality. Machine learning algorithms, particularly deep neural networks (DNNs), can often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffeb0276f7ded9648b3d7b5288c8f7fb
https://escholarship.org/uc/item/0555b2wp
https://escholarship.org/uc/item/0555b2wp
Autor:
Shawn Mikula, Fabian Svara, Sven Dorkenwald, Joergen Kornfeld, Gregor Urban, Philipp J Schubert, Marius F Killinger
Publikováno v:
Nature Methods. 14:435-442
Teravoxel volume electron microscopy data sets from neural tissue can now be acquired in weeks, but data analysis requires years of manual labor. We developed the SyConn framework, which uses deep convolutional neural networks and random forest class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15d8891bc118765ceca4ec0d41c64b5f
https://doi.org/10.1038/nmeth.4206
https://doi.org/10.1038/nmeth.4206
Autor:
Duc T. T. Phan, Alexander Shmakov, Stephanie J. Hachey, Christopher C.W. Hughes, Agua Sobrino, Gregor Urban, Kevin Bache, Pierre Baldi
Publikováno v:
IEEE/ACM Trans Comput Biol Bioinform
Likely drug candidates which are identified in traditional pre-clinical drug screens often fail in patient trials, increasing the societal burden of drug discovery. A major contributing factor to this phenomenon is the failure of traditional in vitro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ed5b2374fee2a588de7765599021f3d
https://pubmed.ncbi.nlm.nih.gov/29993583
https://pubmed.ncbi.nlm.nih.gov/29993583