Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sepideh Azarianpour"'
Autor:
Arpit Aggarwal, Sirvan Khalighi, Deepak Babu, Haojia Li, Sepideh Azarianpour-Esfahani, Germán Corredor, Pingfu Fu, Mojgan Mokhtari, Tilak Pathak, Elizabeth Thayer, Susan Modesitt, Haider Mahdi, Stefanie Avril, Anant Madabhushi
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-12 (2024)
Abstract Background The role of immune cells in collagen degradation within the tumor microenvironment (TME) is unclear. Immune cells, particularly tumor-infiltrating lymphocytes (TILs), are known to alter the extracellular matrix, affecting cancer p
Externí odkaz:
https://doaj.org/article/4d8cb787bd424bc9875541fc186dea88
Autor:
Pingfu Fu, Kaustav Bera, Anant Madabhushi, Haider Mahdi, Germán Corredor, Sepideh Azarianpour, Patrick Leo, Paula Toro, Amy Joehlin-Price, Mojgan Mokhtari
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 10, Iss 2 (2022)
Background We present a computational approach (ArcTIL) for quantitative characterization of the architecture of tumor-infiltrating lymphocytes (TILs) and their interplay with cancer cells from digitized H&E-stained histology whole slide images and e
Externí odkaz:
https://doaj.org/article/5d5121298d5b47439230a95deaf72537
Autor:
Germán Corredor, Can F. Koyuncu, Andrew Janowczyk, Paula Toro, Sepideh Azarianpour, James Lewis, Anant Madabhushi
Publikováno v:
Medical Imaging 2023: Digital and Computational Pathology.
Autor:
Arpit Aggarwal, Sepideh Azarianpour-Esfahani, Haojia Li, Pingfu Fu, Mojgan Mokhtari, Stefanie Avril, Haider Mahdi, Anant Madabhushi
Publikováno v:
Regular and Young Investigator Award Abstracts.
Autor:
Xiangxue Wang, Cristian Barrera, Kaustav Bera, Vidya Sankar Viswanathan, Sepideh Azarianpour-Esfahani, Can Koyuncu, Priya Velu, Michael D. Feldman, Michael Yang, Pingfu Fu, Kurt A. Schalper, Haider Mahdi, Cheng Lu, Vamsidhar Velcheti, Anant Madabhushi
Publikováno v:
Science advances. 8(22)
Immune checkpoint inhibitors (ICIs) show prominent clinical activity across multiple advanced tumors. However, less than half of patients respond even after molecule-based selection. Thus, improved biomarkers are required. In this study, we use an im
Autor:
Kenneth B. Margulies, Sepideh Azarianpour-Esfahani, Luke Blower, Andrew Janowczyk, Anil V. Parwani, Anant Madabhushi, Miroslav Sekulic, Eliot G. Peyster, Michael Feldman, Sara ArabYarmohammadi, Clarissa A. Cassol, Priti Lal
Publikováno v:
European Heart Journal
Aim Allograft rejection is a serious concern in heart transplant medicine. Though endomyocardial biopsy with histological grading is the diagnostic standard for rejection, poor inter-pathologist agreement creates significant clinical uncertainty. The
Autor:
Sepideh Azarianpour, Germán Corredor, Kaustav Bera, Patrick Leo, Pingfu Fu, Paula Toro, Amy Joehlin-Price, Mojgan Mokhtari, Haider Mahdi, Anant Madabhushi
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 10, Iss 2 (2022)
BackgroundWe present a computational approach (ArcTIL) for quantitative characterization of the architecture of tumor-infiltrating lymphocytes (TILs) and their interplay with cancer cells from digitized H&E-stained histology whole slide images and ev
Autor:
Sepideh Azarianpour Esfahani, Amir Reza Sadri, Pavithran Pattiam Giriprakash, Patrick Leo, Anant Madabhushi, Jacob Antunes, Prathyush Chirra, Satish Viswanath
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
MICCAI (3)
In order to ensure that a radiomics-based machine learning model will robustly generalize to new, unseen data (which may harbor significant variations compared to the discovery cohort), radiomic features are often screened for stability via test/rete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66f54c1afb073ab574eee701d1b5dd82
https://doi.org/10.1007/978-3-030-87199-4_42
https://doi.org/10.1007/978-3-030-87199-4_42
Autor:
Patrick Leo, Sepideh Azarianpour, Pingfu Fu, Nathaniel Braman, Kaustav Bera, Haider Mahdi, Germán Corredor, Anant Madabhushi
Publikováno v:
Medical Imaging: Digital Pathology
The presence of tumor-infiltrating lymphocytes (TILs) is correlated with outcome and prognosis in epithelial ovarian cancer (EOC). In this study, automated image analysis was used to analyze the association between overall survival (OS) and TIL spati
Publikováno v:
IET Image Processing. 11:475-482
A new computer-aided diagnosis (CAD) system for detecting malignant melanoma from dermoscopy images based on a fixed grid wavelet network (FGWN) is proposed. This novel approach is unique in at least three ways: (i) the FGWN is a fixed WN which does