Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Panagiotis BARMPOUTIS"'
Autor:
Kleanthis Marios Papadopoulos, Panagiotis Barmpoutis, Tania Stathaki, Vahan Kepenekian, Peggy Dartigues, Séverine Valmary-Degano, Claire Illac-Vauquelin, Gerlinde Avérous, Anne Chevallier, Marie-Hélène Laverriere, Laurent Villeneuve, Olivier Glehen, Sylvie Isaac, Juliette Hommell-Fontaine, Francois Ng Kee Kwong, Nazim Benzerdjeb
Publikováno v:
BioMedInformatics, Vol 4, Iss 1, Pp 823-836 (2024)
Background: The advent of Deep Learning initiated a new era in which neural networks relying solely on Whole-Slide Images can estimate the survival time of cancer patients. Remarkably, despite deep learning’s potential in this domain, no prior rese
Externí odkaz:
https://doaj.org/article/bfe1281c8ad24125b9372ac31f61caee
Autor:
Panagiotis Barmpoutis, Aristeidis Kastridis, Tania Stathaki, Jing Yuan, Mengjie Shi, Nikos Grammalidis
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 1995 (2023)
In the current context of climate change and demographic expansion, one of the phenomena that humanity faces are the suburban wildfires. To prevent the occurrence of suburban forest fires, fire risk assessment and early fire detection approaches need
Externí odkaz:
https://doaj.org/article/02eb68d9f93042cc9d17e52888cb706d
Autor:
Panagiotis Barmpoutis, William Waddingham, Jing Yuan, Christopher Ross, Hamzeh Kayhanian, Tania Stathaki, Daniel C Alexander, Marnix Jansen
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0275232 (2022)
Gastric cancer is one of the most frequent causes of cancer-related deaths worldwide. Gastric atrophy (GA) and gastric intestinal metaplasia (IM) of the mucosa of the stomach have been found to increase the risk of gastric cancer and are considered p
Externí odkaz:
https://doaj.org/article/46c14d77234c44d8a3e8f10dde255d60
Autor:
Panagiotis Barmpoutis, Matthew Di Capite, Hamzeh Kayhanian, William Waddingham, Daniel C Alexander, Marnix Jansen, Francois Ng Kee Kwong
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0256907 (2021)
Tertiary lymphoid structures (TLS) are ectopic aggregates of lymphoid cells in inflamed, infected, or tumoral tissues that are easily recognized on an H&E histology slide as discrete entities, distinct from lymphocytes. TLS are associated with improv
Externí odkaz:
https://doaj.org/article/729f08bcca37483ba72053fba1452226
Publikováno v:
Sensors, Vol 22, Iss 9, p 3568 (2022)
Pedestrian detection is a challenging task, mainly owing to the numerous appearances of human bodies. Modern detectors extract representative features via the deep neural network; however, they usually require a large training set and high-performanc
Externí odkaz:
https://doaj.org/article/de8996cd75194bf5bc52da22feb42b0a
Publikováno v:
Journal of Forest Science, Vol 64, Iss 4, Pp 164-170 (2018)
In this research, the calorific value and ash content of wood and bark of some fast-growing hardwood species, such as tree-of-heaven, (Ailanthus altissima (Miller) Swingle), empress tree (Paulownia tomentosa (Thunberg) Steudel), trembling aspen (Popu
Externí odkaz:
https://doaj.org/article/68ff3f3b1ba5473aab17c73ed763912d
Publikováno v:
Sensors, Vol 20, Iss 22, p 6442 (2020)
The environmental challenges the world faces nowadays have never been greater or more complex. Global areas covered by forests and urban woodlands are threatened by natural disasters that have increased dramatically during the last decades, in terms
Externí odkaz:
https://doaj.org/article/c069e1e291f1483882174cd47c18975d
Publikováno v:
Remote Sensing, Vol 12, Iss 19, p 3177 (2020)
The environmental challenges the world faces have never been greater or more complex. Global areas that are covered by forests and urban woodlands are threatened by large-scale forest fires that have increased dramatically during the last decades in
Externí odkaz:
https://doaj.org/article/4814dee706b94296bb5eb73725cc79fc
Autor:
Kosmas Dimitropoulos, Panagiotis Barmpoutis, Christina Zioga, Athanasios Kamas, Kalliopi Patsiaoura, Nikos Grammalidis
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0185110 (2017)
In this paper we address the problem of automated grading of invasive breast carcinoma through the encoding of histological images as VLAD (Vector of Locally Aggregated Descriptors) representations on the Grassmann manifold. The proposed method consi
Externí odkaz:
https://doaj.org/article/4d454862c0f5433d832c351055f58435
Publikováno v:
Inventions, Vol 4, Iss 1, p 9 (2019)
Given the broad range of applications from video surveillance to human⁻computer interaction, human action learning and recognition analysis based on 3D skeleton data are currently a popular area of research. In this paper, we propose a method for a
Externí odkaz:
https://doaj.org/article/6d5496a6945f419a89506e95b5b51164