Zobrazeno 1 - 10
of 2 735
pro vyhledávání: '"Anichini A"'
Autor:
Czempiel, Tobias, Roddan, Alfie, Leiloglou, Maria, Hu, Zepeng, O'Neill, Kevin, Anichini, Giulio, Stoyanov, Danail, Elson, Daniel
This study investigates the reconstruction of hyperspectral signatures from RGB data to enhance surgical imaging, utilizing the publicly available HeiPorSPECTRAL dataset from porcine surgery and an in-house neurosurgery dataset. Various architectures
Externí odkaz:
http://arxiv.org/abs/2410.13570
Autor:
Dyck, Michael, Weld, Alistair, Klodmann, Julian, Kirst, Alexander, Dixon, Luke, Anichini, Giulio, Camp, Sophie, Albu-Schäffer, Alin, Giannarou, Stamatia
Intraoperative ultrasound imaging is used to facilitate safe brain tumour resection. However, due to challenges with image interpretation and the physical scanning, this tool has yet to achieve widespread adoption in neurosurgery. In this paper, we i
Externí odkaz:
http://arxiv.org/abs/2312.08409
Autor:
Weld, Alistair, Dixon, Luke, Anichini, Giulio, Dyck, Michael, Ranne, Alex, Camp, Sophie, Giannarou, Stamatia
Intraoperative ultrasound scanning is a demanding visuotactile task. It requires operators to simultaneously localise the ultrasound perspective and manually perform slight adjustments to the pose of the probe, making sure not to apply excessive forc
Externí odkaz:
http://arxiv.org/abs/2306.01190
Autor:
Dyck, Michael, Weld, Alistair, Klodmann, Julian, Kirst, Alexander, Anichini, Giulio, Dixon, Luke, Camp, Sophie, Giannarou, Stamatia, Albu-Schäffer, Alin
Publikováno v:
2023 ICRA-RAMI workshop
During brain tumour resection, localising cancerous tissue and delineating healthy and pathological borders is challenging, even for experienced neurosurgeons and neuroradiologists. Intraoperative imaging is commonly employed for determining and upda
Externí odkaz:
http://arxiv.org/abs/2304.01027
Autor:
Alessandro Giammona, Chiara De Vellis, Enrica Crivaro, Luisa Maresca, Roberta Amoriello, Federica Ricci, Giulia Anichini, Silvia Pietrobono, David R. Pease, Martin E. Fernandez-Zapico, Clara Ballerini, Barbara Stecca
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-20 (2024)
Abstract Background Melanoma progression is based on a close interaction between cancer cells and immune cells in the tumor microenvironment (TME). Thus, a better understanding of the mechanisms controlling TME dynamics and composition will help impr
Externí odkaz:
https://doaj.org/article/9a5abb0f8a934072b83151c0c66122fc
Autor:
Weld, Alistair, Dyck, Michael, Klodmann, Julian, Anichini, Giulio, Dixon, Luke, Camp, Sophie, Albu-Schäffer, Alin, Giannarou, Stamatia
Publikováno v:
Proceedings of the Hamlyn Symposium 2022
The aim of this paper is to introduce a robotic platform for autonomous iUS tissue scanning to optimise intraoperative diagnosis and improve surgical resection during robot-assisted operations. To guide anatomy specific robotic scanning and generate
Externí odkaz:
http://arxiv.org/abs/2301.08174
Autor:
Maria Fortunata Lofiego, Francesca Piazzini, Francesca Pia Caruso, Francesco Marzani, Laura Solmonese, Emma Bello, Fabrizio Celesti, Maria Claudia Costa, Teresa Noviello, Roberta Mortarini, Andrea Anichini, Michele Ceccarelli, Sandra Coral, Anna Maria Di Giacomo, Michele Maio, Alessia Covre, The EPigenetic Immune-oncology Consortium Airc (EPICA) investigators
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background Glioblastoma multiforme (GBM) is a highly aggressive primary brain tumor, that is refractory to standard treatment and to immunotherapy with immune-checkpoint inhibitors (ICI). Noteworthy, melanoma brain metastases (MM-BM), that s
Externí odkaz:
https://doaj.org/article/de9304cb7f1e45d7b01e1059c5afd11b
Autor:
Kana Banno, Filipe Marcel Fernandes Gonçalves, Clara Sauphar, Marianna Anichini, Aline Hazelaar, Linda Helen Sperre, Christian Stolz, Grete Hansen Aas, Lars Christian Gansel, Ricardo da Silva Torres
Publikováno v:
Machine Learning with Applications, Vol 16, Iss , Pp 100562- (2024)
During the production of salmonids in aquaculture, it is common to observe growth-stunted individuals. The cause for the so-called “loser fish syndrome” is unclear, which needs further investigation. Here, we present and compare computer vision s
Externí odkaz:
https://doaj.org/article/0c18f4b5737940bf99419173f3443a8f
Autor:
Lazzoni, Valeria, Brizi, Danilo, Staglianò, Nicolina, Giordano, Cristiana, Pecoraro, Elisa, Anichini, Monica, Ugolini, Francesca, Bindi, Marco, Argenti, Giovanni, Monorchio, Agostino, Rossi, Riccardo
Publikováno v:
In Biosystems Engineering October 2024 246:191-203
Autor:
Pasqui, Edoardo, Casilli, Giulia, Anichini, Tommaso, Cerbini, Eleonora, Galzerano, Giuseppe, de Donato, Gianmarco
Publikováno v:
In Annals of Vascular Surgery January 2025 110 Part A:423-431