Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Christopher Innocenti"'
Autor:
Isabelle Gaffney, Cohen-Setton J, Zhenning Zhang, Dillon Lal, Jason Hipp, Christopher Innocenti, Frangos M, Carlos Pedrinaci, Michael Surace, Balaji Selvaraj, Khan Baykaner
Understanding the complex biology of the tumor microenvironment (TME) is necessary to understand the mechanisms of action of immuno-oncology therapies and to match the right therapies to the right patients. Multiplex immunofluorescence (mIF) is a use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9f09a6793df73022148c339c03429b
https://doi.org/10.1101/2021.06.09.447654
https://doi.org/10.1101/2021.06.09.447654
Autor:
Christopher Innocenti, Andreas Spitzmüller, Zhenning Zhang, Isabelle Gaffney, Michael Surace, Balaji Selvaraj, Helen K. Angell, Khan Baykaner
Publikováno v:
Journal for ImmunoTherapy of Cancer. 9:A860-A860
BackgroundPredictive biomarkers for response to IO therapies remain insufficient. Although multiplex immunofluorescence has the potential to provide superior biomarkers, the information garnered from these studies is frequently underleveraged. Due to
Autor:
Zhenning Zhang, Carlos Pedrinaci, Jason Hipp, Jake Cohen-Setton, Khan Baykaner, Laura Dillon, Michael Surace, Michalis Frangos, Christopher Innocenti, Balaji Selvaraj
Publikováno v:
Clinical Cancer Research. 27:PR-05
Characterization of the location and phenotype of cells in the tumor microenvironment (TME) is important to inform the development and monitoring of anti-cancer therapeutic interventions, especially immunotherapies designed to stimulate the immune sy
Autor:
Christopher Innocenti, Lennart Svensson, Nasser Mohammadiha, Henrik Linden, Ghazaleh Panahandeh
Publikováno v:
ITSC
This paper aims to investigate direct imitation learning from human drivers for the task of lane keeping assistance in highway and country roads using grayscale images from a single front view camera. The employed method utilizes convolutional neural
Publikováno v:
HealthCom
This paper addresses issues in fall detection from videos. Since it has been a broadly accepted intuition that a falling person usually undergoes large physical movement and displacement in a short time interval, the study is thus focused on measurin