Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Cristian CR"'
Publikováno v:
Runa, Vol 45, Iss 2, Pp 213-232 (2024)
El objetivo de este trabajo es dar a conocer los resultados de un estudio sobre restos óseos humanos donde se aplicó por primera vez el protocolo desarrollado en 2007 por la División Antropología de la Facultad de Ciencias Naturales y Museo de la
Externí odkaz:
https://doaj.org/article/5a0a7188ec054c1eb336946f66a4455e
Publikováno v:
Drones, Vol 8, Iss 10, p 604 (2024)
Hybrid systems offer optimal solutions for unmanned aerial platforms, showcasing their technological development in parallel and series configurations and providing alternatives for future aircraft concepts. However, the limited energetic benefit of
Externí odkaz:
https://doaj.org/article/6cd2e1185c9a4266b991f9328ba77226
Autor:
Annarita Fanizzi, Elisabetta Graps, Domenica Antonia Bavaro, Marco Farella, Samantha Bove, Francesco Campobasso, Maria Colomba Comes, Cristian Cristofaro, Daniele La Forgia, Martina Milella, Serena Iacovelli, Rossella Villani, Rahel Signorile, Alessio De Bartolo, Vito Lorusso, Raffaella Massafra
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background A timely diagnosis is essential for improving breast cancer patients’ survival and designing targeted therapeutic plans. For this purpose, the screening timing, as well as the related waiting lists, are decisive. Nonetheless, ev
Externí odkaz:
https://doaj.org/article/b59197b746434e709dda2aa41325ece7
Publikováno v:
Energies, Vol 17, Iss 10, p 2308 (2024)
This research focuses on evaluating the importance of the use of renewable sources through distributed generation and its implication in the operation of electrical systems given that its incorporation has a direct impact on the expansion of the capa
Externí odkaz:
https://doaj.org/article/9d1ff983e0534f30a3323877b1bd789a
Autor:
Maria Colomba Comes, Livia Fucci, Fabio Mele, Samantha Bove, Cristian Cristofaro, Ivana De Risi, Annarita Fanizzi, Martina Milella, Sabino Strippoli, Alfredo Zito, Michele Guida, Raffaella Massafra
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The application of deep learning on whole-slide histological images (WSIs) can reveal insights for clinical and basic tumor science investigations. Finding quantitative imaging biomarkers from WSIs directly for the prediction of disease-free
Externí odkaz:
https://doaj.org/article/79ab25ca515d423ea61cbbe39ed05d5e
Autor:
Samantha Bove, Maria Colomba Comes, Vito Lorusso, Cristian Cristofaro, Vittorio Didonna, Gianluca Gatta, Francesco Giotta, Daniele La Forgia, Agnese Latorre, Maria Irene Pastena, Nicole Petruzzellis, Domenico Pomarico, Lucia Rinaldi, Pasquale Tamborra, Alfredo Zito, Annarita Fanizzi, Raffaella Massafra
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract In breast cancer patients, an accurate detection of the axillary lymph node metastasis status is essential for reducing distant metastasis occurrence probabilities. In case of patients resulted negative at both clinical and instrumental exam
Externí odkaz:
https://doaj.org/article/21667fa02e724bf7860830faad46bc80
Autor:
Cristian Crisosto, Andreas Voskrebenzev, Marcel Gutberlet, Filip Klimeš, Till F Kaireit, Gesa Pöhler, Tawfik Moher, Lea Behrendt, Robin Müller, Maximilian Zubke, Frank Wacker, Jens Vogel-Claussen
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285378 (2023)
PurposeTo improve automated lung segmentation on 2D lung MR images using balanced augmentation and artificially-generated consolidations for training of a convolutional neural network (CNN).Materials and methodsFrom 233 healthy volunteers and 100 pat
Externí odkaz:
https://doaj.org/article/cc2ee51cdcd8475396ba46f1bf233bfd
Autor:
Samantha Bove, Annarita Fanizzi, Federico Fadda, Maria Colomba Comes, Annamaria Catino, Angelo Cirillo, Cristian Cristofaro, Michele Montrone, Annalisa Nardone, Pamela Pizzutilo, Antonio Tufaro, Domenico Galetta, Raffaella Massafra
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285188 (2023)
Non-small cell lung cancer (NSCLC) represents 85% of all new lung cancer diagnoses and presents a high recurrence rate after surgery. Thus, an accurate prediction of recurrence risk in NSCLC patients at diagnosis could be essential to designate risk
Externí odkaz:
https://doaj.org/article/cfaf986885bc4b98bd07dce23e450e9e
Autor:
Annarita Fanizzi, Giovanni Scognamillo, Alessandra Nestola, Santa Bambace, Samantha Bove, Maria Colomba Comes, Cristian Cristofaro, Vittorio Didonna, Alessia Di Rito, Angelo Errico, Loredana Palermo, Pasquale Tamborra, Michele Troiano, Salvatore Parisi, Rossella Villani, Alfredo Zito, Marco Lioce, Raffaella Massafra
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Externí odkaz:
https://doaj.org/article/1fd6c4bcbe6c4153aec24bf6bdf2ce8d
Autor:
Annarita Fanizzi, Giovanni Scognamillo, Alessandra Nestola, Santa Bambace, Samantha Bove, Maria Colomba Comes, Cristian Cristofaro, Vittorio Didonna, Alessia Di Rito, Angelo Errico, Loredana Palermo, Pasquale Tamborra, Michele Troiano, Salvatore Parisi, Rossella Villani, Alfredo Zito, Marco Lioce, Raffaella Massafra
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Background and purposeAlthough the latest breakthroughs in radiotherapy (RT) techniques have led to a decrease in adverse event rates, these techniques are still associated with substantial toxicity, including xerostomia. Imaging biomarkers could be
Externí odkaz:
https://doaj.org/article/315f385a0a2c409c85448f891a5abfd4