Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Alex, Olar"'
Autor:
Alex Olar, Teadora Tyler, Paulina Hoppa, Erzsébet Frank, István Csabai, Istvan Adorjan, Péter Pollner
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Astrocytes, a type of glial cell, significantly influence neuronal function, with variations in morphology and density linked to neurological disorders. Traditional methods for their accurate detection and density measurement are laborious a
Externí odkaz:
https://doaj.org/article/255cb4bb81654c95851712816797873b
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract In the past few years COVID-19 posed a huge threat to healthcare systems around the world. One of the first waves of the pandemic hit Northern Italy severely resulting in high casualties and in the near breakdown of primary care. Due to thes
Externí odkaz:
https://doaj.org/article/4cc064b3069543668eb167b78100db8e
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Statistical learning algorithms strongly rely on an oversimplified assumption for optimal performance, that is, source (training) and target (testing) data are independent and identically distributed. Variation in human tissue, physician lab
Externí odkaz:
https://doaj.org/article/cfc9315ea86a4e42bb0ab0c3547200fc
Autor:
Bálint Ármin Pataki, Alex Olar, Dezső Ribli, Adrián Pesti, Endre Kontsek, Benedek Gyöngyösi, Ágnes Bilecz, Tekla Kovács, Kristóf Attila Kovács, Zsófia Kramer, András Kiss, Miklós Szócska, Péter Pollner, István Csabai
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-7 (2022)
Measurement(s) H&E slide staining • ex vivo light microscopy with immunohistochemistry and digital image analysis • Image Annotation Statement • Screening Colonoscopy Technology Type(s) Hematoxylin and Eosin Staining Method • bright-field mic
Externí odkaz:
https://doaj.org/article/5f8f4ccb21fc4909ace9f93770435455
Autor:
Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlović, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Abram, Alex Olar, Enkelejda Miho, Dag Trygve Tryslew Haug, Fridtjof Lund-Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff
Publikováno v:
Nature Computational Science. 2:845-865
Autor:
Dongmei, Sun, Thanh M, Nguyen, Robert J, Allaway, Jelai, Wang, Verena, Chung, Thomas V, Yu, Michael, Mason, Isaac, Dimitrovsky, Lars, Ericson, Hongyang, Li, Yuanfang, Guan, Ariel, Israel, Alex, Olar, Balint Armin, Pataki, Gustavo, Stolovitzky, Justin, Guinney, Percio S, Gulko, Mason B, Frazier, Jake Y, Chen, James C, Costello, S Louis, Bridges, Xiaofu, He
Publikováno v:
JAMA network open. 5(8)
An automated, accurate method is needed for unbiased assessment quantifying accrual of joint space narrowing and erosions on radiographic images of the hands and wrists, and feet for clinical trials, monitoring of joint damage over time, assisting rh
Publikováno v:
IME - Az egészségügyi vezetők szaklapja. 20:26-29
Autor:
Dongmei Sun, Thanh M. Nguyen, Robert J. Allaway, Jelai Wang, Verena Chung, Thomas V. Yu, Michael Mason, Isaac Dimitrovsky, Lars Ericson, Hongyang Li, Yuanfang Guan, Ariel Israel, Alex Olar, Balint Armin Pataki, Gustavo Stolovitzky, Justin Guinney, Percio S. Gulko, Mason B. Frazier, James C. Costello, Jake Y. Chen, S. Louis Bridges
Publikováno v:
SSRN Electronic Journal.
Autor:
Thanh Nguyen, Gustavo Stolovitzky, Verena Chung, James C. Costello, Dongmei Sun, Mason B. Frazier, Yuanfang Guan, Thomas Yu, Lars Ericson, Michael Mason, Robert J. Allaway, Ra Dream Challenge Community, Alex Olar, Pércio S. Gulko, Bálint Ármin Pataki, Jake Y. Chen, Isaac Dimitrovsky, Justin Guinney, Hongyang Li, Ariel Israel, Jelai Wang, S. Louis Bridges
To develop machine learning methods to quantify joint damage in patients with rheumatoid arthritis (RA), we developed the RA2 DREAM Challenge, a crowdsourced competition that utilized existing radiographic images and “gold-standard” scores on 674
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d68b64bc92f7439cff27266231479dc
https://doi.org/10.1101/2021.10.25.21265495
https://doi.org/10.1101/2021.10.25.21265495
Autor:
Bálint Ármin Pataki, Alex Olar, Dezső Ribli, Adrián Pesti, Endre Kontsek, Benedek Gyöngyösi, Ágnes Bilecz, Tekla Kovács, Kristóf Attila Kovács, Zsófia Kramer, András Kiss, Miklós Szócska, Péter Pollner, István Csabai
Publikováno v:
Scientific data. 9(1)
Histopathology is the gold standard method for staging and grading human tumors and provides critical information for the oncoteam’s decision making. Highly-trained pathologists are needed for careful microscopic analysis of the slides produced fro