Výsledky vyhledávání - "Stefano Gasperini"

Akademický článek

Blue Light Photobiomodulation as treatment for peristomal skin disorders: case series

Autor: Stefano Gasperini, Mario Antonini

Publikováno v: Infermieristica Journal, Vol 2, Iss 1, Pp 5-10 (2023)

Introduction. Keeping the peristomal skin intact proves to be a challenge for stoma patients and the health care teams that work with them. Peristomal skin complications are shown to affect 36.3% to 73.4% of patients. They are often particularly diff

Externí odkaz: https://doaj.org/article/369ee50d798945b1b2fd4ff488bd90e2

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CertainNet: Sampling-Free Uncertainty Estimation for Object Detection

Autor: Federico Tombari, Benjamin Busam, Nassir Navab, Jan Haug, Alvaro Marcos-Ramiro, Stefano Gasperini, Mohammad-Ali Nikouei Mahani

Publikováno v: IEEE Robotics and Automation Letters. 7:698-705

Estimating the uncertainty of a neural network plays a fundamental role in safety-critical settings. In perception for autonomous driving, measuring the uncertainty means providing additional calibrated information to downstream tasks, such as path p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e9a8db2a45a6d059a08b8f91a79d9c3
https://doi.org/10.1109/lra.2021.3130976

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3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection

Autor: Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam, Federico Tombari

Publikováno v: Stefano Gasperini

As 3D object detection on point clouds relies on the geometrical relationships between the points, non-standard object shapes can hinder a method's detection capability. However, in safety-critical settings, robustness to out-of-domain and long-tail

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3e231a7f7c325e1cb2ee23f43d57632
http://arxiv.org/abs/2112.04764

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R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes

Autor: Stefano Gasperini, Patrick Koch, Vinzenz Dallabetta, Nassir Navab, Benjamin Busam, Federico Tombari

While self-supervised monocular depth estimation in driving scenarios has achieved comparable performance to supervised approaches, violations of the static world assumption can still lead to erroneous depth predictions of traffic participants, posin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97067e7649ba900e8a77a80c4c4d5a99

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Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds

Autor: Mohammad-Ali Nikouei Mahani, Stefano Gasperini, Alvaro Marcos-Ramiro, Federico Tombari, Nassir Navab

Panoptic segmentation has recently unified semantic and instance segmentation, previously addressed separately, thus taking a step further towards creating more comprehensive and efficient perception systems. In this paper, we present Panoster, a nov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e27d86b38adfe1cfbdba24a894a69784
http://arxiv.org/abs/2010.15157

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Observations made on three patients suffering from ulcers of the lower limbs treated with Blue Light

Autor: Giovanni Mosti, Stefano Gasperini

Publikováno v: Chronic Wound Care Management and Research. 5:23-28

Giovanni Mosti,1 Stefano Gasperini2 1Barbantini Clinic, Lucca, Italy; 2Medical Advisor, Pisa, Italy Abstract: Chronic skin lesions are an important medical health problem. Chronic skin lesions are associated with high costs for the National Health Se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66162d5484998f7ec1527dddbf5bdc27
https://doi.org/10.2147/cwcmr.s172060

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Signal Clustering with Class-independent Segmentation

Autor: Carsten Hopke, Nassir Navab, David Wittmann, Magdalini Paschali, Stefano Gasperini

Publikováno v: ICASSP

Radar signals have been dramatically increasing in complexity, limiting the source separation ability of traditional approaches. In this paper we propose a Deep Learning-based clustering method, which encodes concurrent signals into images, and, for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad85cc0ee6a1d6a30d6ceb9460ecef87
http://arxiv.org/abs/1911.07590

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Blue light effects in human keloid fibroblasts

Autor: Federica Cherchi, Irene Fusco, Lorenzo Targetti, Francesca Rossi, Roberto Pini, Duccio Rossi Degl'Innocenti, Antongiulio Mangia, Domenico Alfieri, Stefano Gasperini, Francesco S. Pavone, Felicita Pedata, Anna Maria Pugliese, Giada Magni, Cristina Tripodi, Francesca Tatini, Elisabetta Coppi, Marco Fraccalvieri

Publikováno v: Photonics West 2019, San Francisco, CA USA, 2-7/02/2019
info:cnr-pdr/source/autori:Magni, Giada; Cherchi, Federica; Coppi, Elisabetta; Fraccalvieri, Marco; Tatini, Francesca; Fusco, Irene; Pini, Roberto; Pugliese, Anna Maria; Pedata, Felicita; Mangia, Antongiulio; Gasperini, Stefano; Pavone, Francesco S.; Degl'Innocenti, Duccio Rossi; Tripodi, Cristina; Alfier, Domenico; Targetti, Lorenzo; Rossi, Francesca/congresso_nome:Photonics West 2019/congresso_luogo:San Francisco, CA USA/congresso_data:2-7%2F02%2F2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine

Keloids scars are an abnormal overgrowth of fibrotic tissue in response to an injury. The current treatments show several limits and do not represent a definitive solution or a prevention protocol. In a preliminary study, we irradiated two samples of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5918791c99456f6d5e14e96736d1064f
https://doi.org/10.1117/12.2509504

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3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation

Autor: Michael Y.-S. Fang, Magdalini Paschali, Nassir Navab, Abhijit Guha Roy, Stefano Gasperini

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030322472
MICCAI (3)

Model architectures have been dramatically increasing in size, improving performance at the cost of resource requirements. In this paper we propose 3DQ, a ternary quantization method, applied for the first time to 3D Fully Convolutional Neural Networ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27324d444bb7a7e290d132815dcfebc9
https://doi.org/10.1007/978-3-030-32248-9_49

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Blue light induced modulation in the early phase of wound healing

Autor: Roberto Pini, Duccio Rossi Degl'Innocenti, Stefano Gasperini, Gaetano De Siena, Francesca Rossi, Francesca Tatini, Francesco S. Pavone, Lorenzo Targetti, Giada Magni, Stefano Bacci, Cristina Tripodi, Domenico Alfieri

Publikováno v: European Conference on Biomedical Optics, Monaco di Baviera, 23-27/06/2019
info:cnr-pdr/source/autori:Francesca Tatini, Giada Magni, Gaetano de Siena, Roberto Pini, Stefano Bacci, Stefano Gasperini, Francesco S. Pavone, Duccio Rossi Degl'Innocenti, Cristina Tripodi, Domenico Alfieri, Lorenzo Targetti, Francesca Rossi/congresso_nome:European Conference on Biomedical Optics/congresso_luogo:Monaco di Baviera/congresso_data:23-27%2F06%2F2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine

Blue LED light (420 nm) has successfully been used to induce hemostasis through a photo-thermo-coagulation process: light absorption by hemoglobin triggers a local temperature increase, leading to a coagulation effect. Besides hemoglobin, there are o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca0666cf4f803f687aa56c883a933e48
http://www.cnr.it/prodotto/i/405721

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