Zobrazeno 1 - 10
of 62
pro vyhledávání: '"P. Canalini"'
Autor:
João Victor T. Henriques, José A. Prezotti, Karin M. Anzolch, Gustavo Ruschi, Gilberto Almeida, Leonardo Seligra, Luciano A. Favorito, Alfredo F. Canalini, Roni de C. Fernandes, Fransber R. A. Rodrigues, Caroline Santos Silva, Anna Sophia Candiotto Pereira, José de Bessa Jr., Cristiano M. Gomes
Publikováno v:
International Brazilian Journal of Urology, Vol 50, Iss 5, Pp 605-615 (2024)
ABSTRACT Objectives: To evaluate the impact of COVID-19 pandemics on clinical and surgical practice, educational activities, health and lifestyle behavior of Brazilian urology residents after 1 year of socio-economic restrictions. Materials and Metho
Externí odkaz:
https://doaj.org/article/b5dc4a7037ba42269e5defbbcc4294d0
Autor:
Chiara La Morgia, Maria Lucia Cascavilla, Anna Maria De Negri, Marcello Romano, Fabrizio Canalini, Silvia Rossi, Diego Centonze, Massimo Filippi
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
Leber’s Hereditary Optic Neuropathy (LHON) is a maternally inherited optic nerve disease primarily caused by mutations in mitochondrial DNA (mtDNA). The peak of onset is typically between 15 and 30 years, but variability exists. Misdiagnosis, often
Externí odkaz:
https://doaj.org/article/bed703d46ff74761b591af176439c00c
Autor:
Canalini, Luca, Klein, Jan, de Barros, Nuno Pedrosa, Sima, Diana Maria, Miller, Dorothea, Hahn, Horst
Publikováno v:
SPIE Proceedings Vol. 11598 - Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling
In this work, we compare five deep learning solutions to automatically segment the resection cavity in postoperative MRI. The proposed methods are based on the same 3D U-Net architecture. We use a dataset of postoperative MRI volumes, each including
Externí odkaz:
http://arxiv.org/abs/2210.07806
Autor:
Baheti, Bhakti, Chakrabarty, Satrajit, Akbari, Hamed, Bilello, Michel, Wiestler, Benedikt, Schwarting, Julian, Calabrese, Evan, Rudie, Jeffrey, Abidi, Syed, Mousa, Mina, Villanueva-Meyer, Javier, Fields, Brandon K. K., Kofler, Florian, Shinohara, Russell Takeshi, Iglesias, Juan Eugenio, Mok, Tony C. W., Chung, Albert C. S., Wodzinski, Marek, Jurgas, Artur, Marini, Niccolo, Atzori, Manfredo, Muller, Henning, Grobroehmer, Christoph, Siebert, Hanna, Hansen, Lasse, Heinrich, Mattias P., Canalini, Luca, Klein, Jan, Gerken, Annika, Heldmann, Stefan, Hering, Alessa, Hahn, Horst K., Meng, Mingyuan, Bi, Lei, Feng, Dagan, Kim, Jinman, Zeineldin, Ramy A., Karar, Mohamed E., Mathis-Ullrich, Franziska, Burgert, Oliver, Abderezaei, Javid, Pionteck, Aymeric, Chopra, Agamdeep, Kurt, Mehmet, Yan, Kewei, Yan, Yonghong, Tang, Zhe, Ma, Jianqiang, Nasser, Sahar Almahfouz, Kurian, Nikhil Cherian, Meena, Mohit, Shamsi, Saqib, Sethi, Amit, Tustison, Nicholas J., Avants, Brian B., Cook, Philip, Gee, James C., Tian, Lin, Greer, Hastings, Niethammer, Marc, Hoopes, Andrew, Hoffmann, Malte, Dalca, Adrian V., Christodoulidis, Stergios, Estiene, Theo, Vakalopoulou, Maria, Paragios, Nikos, Marcus, Daniel S., Davatzikos, Christos, Sotiras, Aristeidis, Menze, Bjoern, Bakas, Spyridon, Waldmannstetter, Diana
Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been progress in developing general-purpose medical image registration techniques, they have not yet a
Externí odkaz:
http://arxiv.org/abs/2112.06979
Autor:
Ezhov, Ivan, Scibilia, Kevin, Franitza, Katharina, Steinbauer, Felix, Shit, Suprosanna, Zimmer, Lucas, Lipkova, Jana, Kofler, Florian, Paetzold, Johannes, Canalini, Luca, Waldmannstetter, Diana, Menten, Martin, Metz, Marie, Wiestler, Benedikt, Menze, Bjoern
Current treatment planning of patients diagnosed with a brain tumor, such as glioma, could significantly benefit by accessing the spatial distribution of tumor cell concentration. Existing diagnostic modalities, e.g. magnetic resonance imaging (MRI),
Externí odkaz:
http://arxiv.org/abs/2111.04090
During neurosurgical operations, surgeons can decide to acquire intraoperative data to better proceed with the removal of a tumor. A valid option is given by ultrasound (US) imaging, which can be easily obtained at subsequent surgical stages, giving
Externí odkaz:
http://arxiv.org/abs/2001.03204
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Radiomics-Based Machine Learning Model for Diagnosis of Acute Pancreatitis Using Computed Tomography
Autor:
Stefanie Bette, Luca Canalini, Laura-Marie Feitelson, Piotr Woźnicki, Franka Risch, Adrian Huber, Josua A. Decker, Kartikay Tehlan, Judith Becker, Claudia Wollny, Christian Scheurig-Münkler, Thomas Wendler, Florian Schwarz, Thomas Kroencke
Publikováno v:
Diagnostics, Vol 14, Iss 7, p 718 (2024)
In the early diagnostic workup of acute pancreatitis (AP), the role of contrast-enhanced CT is to establish the diagnosis in uncertain cases, assess severity, and detect potential complications like necrosis, fluid collections, bleeding or portal vei
Externí odkaz:
https://doaj.org/article/1aa7179f752f4a378225439e31d56fd8