Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Nicolas Padoy"'
Autor:
Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni, AI4SafeChole Consortium, Didier Mutter, Nicolas Padoy
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Surgical video analysis facilitates education and research. However, video recordings of endoscopic surgeries can contain privacy-sensitive information, especially if the endoscopic camera is moved out of the body of patients and out-of-body
Externí odkaz:
https://doaj.org/article/f56673efa8004303802b20b223ae33bc
Autor:
Pietro Mascagni, Deepak Alapatt, Luca Sestini, Maria S. Altieri, Amin Madani, Yusuke Watanabe, Adnan Alseidi, Jay A. Redan, Sergio Alfieri, Guido Costamagna, Ivo Boškoski, Nicolas Padoy, Daniel A. Hashimoto
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract Hundreds of millions of operations are performed worldwide each year, and the rising uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become both important tools to conduct surgery and sensors from which to
Externí odkaz:
https://doaj.org/article/c6276d73025447469092914f99e16bd0
Autor:
Philippe Germain, Armine Vardazaryan, Aissam Labani, Nicolas Padoy, Catherine Roy, Soraya El Ghannudi
Publikováno v:
Biomedicines, Vol 11, Iss 1, p 193 (2023)
The aim of this work was to compare the classification of cardiac MR-images of AL versus ATTR amyloidosis by neural networks and by experienced human readers. Cine-MR images and late gadolinium enhancement (LGE) images of 120 patients were studied (7
Externí odkaz:
https://doaj.org/article/784591c27b7140e5909d1fb05bf5643c
Autor:
Giuseppe Quero, Pietro Mascagni, Fiona R. Kolbinger, Claudio Fiorillo, Davide De Sio, Fabio Longo, Carlo Alberto Schena, Vito Laterza, Fausto Rosa, Roberta Menghi, Valerio Papa, Vincenzo Tondolo, Caterina Cina, Marius Distler, Juergen Weitz, Stefanie Speidel, Nicolas Padoy, Sergio Alfieri
Publikováno v:
Cancers, Vol 14, Iss 15, p 3803 (2022)
Artificial intelligence (AI) and computer vision (CV) are beginning to impact medicine. While evidence on the clinical value of AI-based solutions for the screening and staging of colorectal cancer (CRC) is mounting, CV and AI applications to enhance
Externí odkaz:
https://doaj.org/article/4d525874bc684bf2b331d2a7416848c9
Autor:
Philippe Germain, Armine Vardazaryan, Nicolas Padoy, Aissam Labani, Catherine Roy, Thomas Hellmut Schindler, Soraya El Ghannudi
Publikováno v:
Diagnostics, Vol 12, Iss 1, p 69 (2021)
Background: Diagnosing cardiac amyloidosis (CA) from cine-CMR (cardiac magnetic resonance) alone is not reliable. In this study, we tested if a convolutional neural network (CNN) could outperform the visual diagnosis of experienced operators. Method:
Externí odkaz:
https://doaj.org/article/03aed893a8724d8baa91af368f19b1c6
Autor:
Philippe Germain, Armine Vardazaryan, Nicolas Padoy, Aissam Labani, Catherine Roy, Thomas Hellmut Schindler, Soraya El Ghannudi
Publikováno v:
Diagnostics, Vol 11, Iss 9, p 1554 (2021)
The automatic classification of various types of cardiomyopathies is desirable but has never been performed using a convolutional neural network (CNN). The purpose of this study was to evaluate currently available CNN models to classify cine magnetic
Externí odkaz:
https://doaj.org/article/d90a966262054425ab7fb9bfe53e2172
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery.
One of the recent advances in surgical AI is the recognition of surgical activities as triplets of (instrument, verb, target). Albeit providing detailed information for computer-assisted intervention, current triplet recognition approaches rely only
Autor:
Sanat Ramesh, Diego Dall’Alba, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Paolo Fiorini, Nicolas Padoy
Publikováno v:
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, 2023, ⟨10.1109/TMI.2023.3262847⟩
IEEE Transactions on Medical Imaging, 2023, ⟨10.1109/TMI.2023.3262847⟩
Automatic recognition of fine-grained surgical activities, called steps, is a challenging but crucial task for intelligent intra-operative computer assistance. The development of current vision-based activity recognition methods relies heavily on a h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea5497519e81066e9705284923ecaffe
http://arxiv.org/abs/2302.10834
http://arxiv.org/abs/2302.10834
Autor:
Camille Graëff, Audrey Daiss, Thomas Lampert, Nicolas Padoy, Antoine Martins, Marie-Cécile Sapa, Philippe Liverneaux
Publikováno v:
Revue de Chirurgie Orthopédique et Traumatologique.
Autor:
Camille Graëff, Audrey Daiss, Thomas Lampert, Nicolas Padoy, Antoine Martins, Marie-Cécile Sapa, Philippe Liverneaux
Publikováno v:
Orthopaedics & Traumatology: Surgery & Research
Orthopaedics & Traumatology: Surgery & Research, 2023, ⟨10.1016/j.otsr.2023.103564⟩
Orthopaedics & Traumatology: Surgery & Research, 2023, ⟨10.1016/j.otsr.2023.103564⟩
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46dabbd60ed34ad4a1c97c59d1e9b967
https://hal.science/hal-03976175
https://hal.science/hal-03976175