Zobrazeno 1 - 10
of 882
pro vyhledávání: '"Nasca, P"'
Autor:
Hadlich, Matthias, Marinov, Zdravko, Kim, Moon, Nasca, Enrico, Kleesiek, Jens, Stiefelhagen, Rainer
Deep learning has revolutionized the accurate segmentation of diseases in medical imaging. However, achieving such results requires training with numerous manual voxel annotations. This requirement presents a challenge for whole-body Positron Emissio
Externí odkaz:
http://arxiv.org/abs/2311.14482
Autor:
Li, Jianning, Zhou, Zongwei, Yang, Jiancheng, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Qu, Chongyu, Zhang, Tiezheng, Chen, Xiaoxi, Li, Wenxuan, Wodzinski, Marek, Friedrich, Paul, Xie, Kangxian, Jin, Yuan, Ambigapathy, Narmada, Nasca, Enrico, Solak, Naida, Melito, Gian Marco, Vu, Viet Duc, Memon, Afaque R., Schlachta, Christopher, De Ribaupierre, Sandrine, Patel, Rajnikant, Eagleson, Roy, Chen, Xiaojun, Mächler, Heinrich, Kirschke, Jan Stefan, de la Rosa, Ezequiel, Christ, Patrick Ferdinand, Li, Hongwei Bran, Ellis, David G., Aizenberg, Michele R., Gatidis, Sergios, Küstner, Thomas, Shusharina, Nadya, Heller, Nicholas, Andrearczyk, Vincent, Depeursinge, Adrien, Hatt, Mathieu, Sekuboyina, Anjany, Löffler, Maximilian, Liebl, Hans, Dorent, Reuben, Vercauteren, Tom, Shapey, Jonathan, Kujawa, Aaron, Cornelissen, Stefan, Langenhuizen, Patrick, Ben-Hamadou, Achraf, Rekik, Ahmed, Pujades, Sergi, Boyer, Edmond, Bolelli, Federico, Grana, Costantino, Lumetti, Luca, Salehi, Hamidreza, Ma, Jun, Zhang, Yao, Gharleghi, Ramtin, Beier, Susann, Sowmya, Arcot, Garza-Villarreal, Eduardo A., Balducci, Thania, Angeles-Valdez, Diego, Souza, Roberto, Rittner, Leticia, Frayne, Richard, Ji, Yuanfeng, Ferrari, Vincenzo, Chatterjee, Soumick, Dubost, Florian, Schreiber, Stefanie, Mattern, Hendrik, Speck, Oliver, Haehn, Daniel, John, Christoph, Nürnberger, Andreas, Pedrosa, João, Ferreira, Carlos, Aresta, Guilherme, Cunha, António, Campilho, Aurélio, Suter, Yannick, Garcia, Jose, Lalande, Alain, Vandenbossche, Vicky, Van Oevelen, Aline, Duquesne, Kate, Mekhzoum, Hamza, Vandemeulebroucke, Jef, Audenaert, Emmanuel, Krebs, Claudia, van Leeuwen, Timo, Vereecke, Evie, Heidemeyer, Hauke, Röhrig, Rainer, Hölzle, Frank, Badeli, Vahid, Krieger, Kathrin, Gunzer, Matthias, Chen, Jianxu, van Meegdenburg, Timo, Dada, Amin, Balzer, Miriam, Fragemann, Jana, Jonske, Frederic, Rempe, Moritz, Malorodov, Stanislav, Bahnsen, Fin H., Seibold, Constantin, Jaus, Alexander, Marinov, Zdravko, Jaeger, Paul F., Stiefelhagen, Rainer, Santos, Ana Sofia, Lindo, Mariana, Ferreira, André, Alves, Victor, Kamp, Michael, Abourayya, Amr, Nensa, Felix, Hörst, Fabian, Brehmer, Alexander, Heine, Lukas, Hanusrichter, Yannik, Weßling, Martin, Dudda, Marcel, Podleska, Lars E., Fink, Matthias A., Keyl, Julius, Tserpes, Konstantinos, Kim, Moon-Sung, Elhabian, Shireen, Lamecker, Hans, Zukić, Dženan, Paniagua, Beatriz, Wachinger, Christian, Urschler, Martin, Duong, Luc, Wasserthal, Jakob, Hoyer, Peter F., Basu, Oliver, Maal, Thomas, Witjes, Max J. H., Schiele, Gregor, Chang, Ti-chiun, Ahmadi, Seyed-Ahmad, Luo, Ping, Menze, Bjoern, Reyes, Mauricio, Deserno, Thomas M., Davatzikos, Christos, Puladi, Behrus, Fua, Pascal, Yuille, Alan L., Kleesiek, Jens, Egger, Jan
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit s
Externí odkaz:
http://arxiv.org/abs/2308.16139
Autor:
Jonske, Frederic, Kim, Moon, Nasca, Enrico, Evers, Janis, Haubold, Johannes, Hosch, René, Nensa, Felix, Kamp, Michael, Seibold, Constantin, Egger, Jan, Kleesiek, Jens
It is an open secret that ImageNet is treated as the panacea of pretraining. Particularly in medical machine learning, models not trained from scratch are often finetuned based on ImageNet-pretrained models. We posit that pretraining on data from the
Externí odkaz:
http://arxiv.org/abs/2306.17555
Autor:
Chiara Cavestro, Francesca Morra, Andrea Legati, Marco D'Amato, Alessia Nasca, Arcangela Iuso, Naomi Lubarr, Jennifer L. Morrison, Patricia G. Wheeler, Clara Serra‐Juhé, Benjamín Rodríguez‐Santiago, Eulalia Turón‐Viñas, Clement Prouteau, Magalie Barth, Susan J. Hayflick, Daniele Ghezzi, Valeria Tiranti, Ivano Di Meo
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 6, Pp 1615-1629 (2024)
Abstract Objective COASY, the gene encoding the bifunctional enzyme CoA synthase, which catalyzes the last two reactions of cellular de novo coenzyme A (CoA) biosynthesis, has been linked to two exceedingly rare autosomal recessive disorders, such as
Externí odkaz:
https://doaj.org/article/57f4965baaa6402db85985dc9844f841
Autor:
Federica Dall’Oglio, Maria Rita Nasca, Francesco Lacarrubba, Pasquale Vitale, Giuseppe Micali
Publikováno v:
Journal of Dermatological Treatment, Vol 35, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/1acf3038ba5148daa89b5e9a04e40a58
Autor:
Chen, Zhe Sage, Prathamesh, Kulkarni, Galatzer-Levy, Isaac R., Bigio, Benedetta, Nasca, Carla, Zhang, Yu
In light of the NIMH's Research Domain Criteria (RDoC), the advent of functional neuroimaging, novel technologies and methods provide new opportunities to develop precise and personalized prognosis and diagnosis of mental disorders. Machine learning
Externí odkaz:
http://arxiv.org/abs/2204.01607
Publikováno v:
Discover Mental Health, Vol 4, Iss 1, Pp 1-8 (2024)
Abstract Mitochondrial metabolism can contribute to nuclear histone acetylation among other epigenetic mechanisms. A central aspect of this signaling pathway is acetyl-L-carnitine (LAC), a pivotal mitochondrial metabolite best known for its role in f
Externí odkaz:
https://doaj.org/article/798e3681478544349410d4adca3dd704
Autor:
Schmidt, Hendrik F. R., Schlötterer, Jörg, Bargull, Marcel, Nasca, Enrico, Aydelott, Ryan, Seifert, Christin, Meyer, Folker
AI/Computing at scale is a difficult problem, especially in a health care setting. We outline the requirements, planning and implementation choices as well as the guiding principles that led to the implementation of our secure research computing encl
Externí odkaz:
http://arxiv.org/abs/2201.04816
Autor:
Alberto A. Zambon, Daniele Ghezzi, Cristina Baldoli, Gianni Cutillo, Katia Fontana, Valentina Sofia, Maria Grazia Patricelli, Alessia Nasca, Stefano Vinci, Ivana Spiga, Eleonora Lamantea, Giovanna F. Fanelli, Maria Grazia Natali Sora, Rosanna Rovelli, Antonella Poloniato, Paola Carrera, Massimo Filippi, Graziano Barera
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 10, Iss 10, Pp 1844-1853 (2023)
Abstract Objectives Pathogenic variants in AIFM1 have been associated with a wide spectrum of disorders, spanning from CMT4X to mitochondrial encephalopathy. Here we present a novel phenotype and review the existing literature on AIFM1‐related diso
Externí odkaz:
https://doaj.org/article/439d872073f24f368bf348072bff3b08
Autor:
Beatrice Berti, Daniela Verrigni, Alessia Nasca, Michela Di Nottia, Daniela Leone, Alessandra Torraco, Teresa Rizza, Emanuele Bellacchio, Andrea Legati, Concetta Palermo, Silvia Marchet, Costanza Lamperti, Antonio Novelli, Eugenio Maria Mercuri, Enrico Silvio Bertini, Marika Pane, Daniele Ghezzi, Rosalba Carrozzo
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 14, p 7782 (2024)
Mitochondrial fission and fusion are vital dynamic processes for mitochondrial quality control and for the maintenance of cellular respiration; they also play an important role in the formation and maintenance of cells with high energy demand includi
Externí odkaz:
https://doaj.org/article/5190628685db48aa8bbaf2ef4eb12eab