Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mohammad Peikari"'
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Abstract Completely labeled pathology datasets are often challenging and time-consuming to obtain. Semi-supervised learning (SSL) methods are able to learn from fewer labeled data points with the help of a large number of unlabeled data points. In th
Externí odkaz:
https://doaj.org/article/792b44f9bc9942699642a822cd3b0d25
Autor:
Robert P. Nolan, Mohammad Peikari, Chun-Po Steve Fan, Gabriel C. Fezza, Heather Joan Ross, Chris McIntosh
Publikováno v:
Journal of the American College of Cardiology. 79:2044
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::737ea56350359f25ecc0f22a8097af70
https://doi.org/10.1016/s0735-1097(22)03035-2
https://doi.org/10.1016/s0735-1097(22)03035-2
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 7:260-265
Digital pathology has advanced substantially over the last decade with the adoption of slide scanners in pathology labs. The use of digital slides to analyse diseases at the microscopic level is both cost-effective and efficient. Identifying complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::851c315b8d348fcad526ac29a97058d2
https://doi.org/10.1080/21681163.2018.1427148
https://doi.org/10.1080/21681163.2018.1427148
Publikováno v:
Cytometry Part A. 91:1078-1087
Neoadjuvant treatment (NAT) of breast cancer (BCa) is an option for patients with the locally advanced disease. It has been compared with standard adjuvant therapy with the aim of improving prognosis and surgical outcome. Moreover, the response of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67e5bf8abc7db6f9843bab60565e1a61
https://doi.org/10.1002/cyto.a.23244
https://doi.org/10.1002/cyto.a.23244
Autor:
Sherine Salama, Anne L. Martel, Shazia Akbar, Mohammad Peikari, Sharon Nofech-Mozes, Azadeh Yazdan Panah
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
AimsThe residual cancer burden index is an important quantitative measure used for assessing treatment response following neoadjuvant therapy for breast cancer. It has shown to be predictive of overall survival and is composed of two key metrics: qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f91bf37a11c24e01d7a91832d7b9b780
https://doi.org/10.1038/s41598-019-50568-4
https://doi.org/10.1038/s41598-019-50568-4
Autor:
Brigitte Mueller, Heather J. Ross, Chun-Po Steve Fan, Karim Taha, Cedric Manlhiot, Edgar Crowdy, Mohammad Peikari
Publikováno v:
Journal of the American College of Cardiology. 75:2046
heart failure (HF) and coronary artery disease (CAD) have multi-faceted genetic, lifestyle and environmental contributors. Our capacity to predict their onset, and alter its course before serious morbidity, is limited by generic and weakly predictive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::168c925d13f4efca239a82e5544ef2e3
https://doi.org/10.1016/s0735-1097(20)32673-5
https://doi.org/10.1016/s0735-1097(20)32673-5
Publikováno v:
Medical Imaging: Digital Pathology
The residual cancer burden index is a powerful prognostic factor which is used to measure neoadjuvant therapy response in invasive breast cancers. Tumor cellularity is one component of the residual cancer burden index and is currently measured manual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::336c771406b4cc6495be4627d5b49ab3
https://doi.org/10.1117/12.2292813
https://doi.org/10.1117/12.2292813
Autor:
Ali Ghodsi, Anne L. Martel, Mehrdad J. Gangeh, Sharon Nofech-Mozes, Mohammad Peikari, Sherine Salama, Rene Bidart
Publikováno v:
Medical Imaging: Digital Pathology
Neoadjuvant therapy (NAT) is an option for locally advanced breast cancer patients to downsize tumour allowing for less extensive surgical operation, better cosmetic outcomes, and lesser post-operative complications. The quality of NAT is assessed by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32925e4c8ab8eeeeba422e2185f5d494
https://doi.org/10.1117/12.2292815
https://doi.org/10.1117/12.2292815
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Completely labeled pathology datasets are often challenging and time-consuming to obtain. Semi-supervised learning (SSL) methods are able to learn from fewer labeled data points with the help of a large number of unlabeled data points. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::955364dd5bb1d9292badc327cd014a65
https://pubmed.ncbi.nlm.nih.gov/29739993
https://pubmed.ncbi.nlm.nih.gov/29739993
Publikováno v:
Cytometry. Part A : the journal of the International Society for Analytical Cytology. 91(11)
Neoadjuvant treatment (NAT) of breast cancer (BCa) is an option for patients with the locally advanced disease. It has been compared with standard adjuvant therapy with the aim of improving prognosis and surgical outcome. Moreover, the response of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bd61e0d829d1df8b80647e53812ceba1
https://pubmed.ncbi.nlm.nih.gov/28976721
https://pubmed.ncbi.nlm.nih.gov/28976721