Zobrazeno 1 - 10
of 585
pro vyhledávání: '"KITTLER, Harald"'
Autor:
Yan, Siyuan, Yu, Zhen, Primiero, Clare, Vico-Alonso, Cristina, Wang, Zhonghua, Yang, Litao, Tschandl, Philipp, Hu, Ming, Tan, Gin, Tang, Vincent, Ng, Aik Beng, Powell, David, Bonnington, Paul, See, Simon, Janda, Monika, Mar, Victoria, Kittler, Harald, Soyer, H. Peter, Ge, Zongyuan
Diagnosing and treating skin diseases require advanced visual skills across multiple domains and the ability to synthesize information from various imaging modalities. Current deep learning models, while effective at specific tasks such as diagnosing
Externí odkaz:
http://arxiv.org/abs/2410.15038
Autor:
Chanda, Tirtha, Haggenmueller, Sarah, Bucher, Tabea-Clara, Holland-Letz, Tim, Kittler, Harald, Tschandl, Philipp, Heppt, Markus V., Berking, Carola, Utikal, Jochen S., Schilling, Bastian, Buerger, Claudia, Navarrete-Dechent, Cristian, Goebeler, Matthias, Kather, Jakob Nikolas, Schneider, Carolin V., Durani, Benjamin, Durani, Hendrike, Jansen, Martin, Wacker, Juliane, Wacker, Joerg, Consortium, Reader Study, Brinker, Titus J.
Artificial intelligence (AI) systems have substantially improved dermatologists' diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing clinicians' confidence and trust in AI-driven decisions. Despite these advancements
Externí odkaz:
http://arxiv.org/abs/2409.13476
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 1, p e15597 (2020)
BackgroundThe diagnosis of pigmented skin lesion is error prone and requires domain-specific expertise, which is not readily available in many parts of the world. Collective intelligence could potentially decrease the error rates of nonexperts. Obje
Externí odkaz:
https://doaj.org/article/4e1a6894a1bc46d288ef5b8babf601f0
Autor:
Finnane, Anna, Curiel-Lewandrowski, Clara, Wimberley, Glen, Caffery, Liam, Katragadda, Chinmayee, Halpern, Allan, Marghoob, Ashfaq A., Malvehy, Josep, Kittler, Harald, Hofmann-Wellenhof, Rainer, Abraham, Ivo, Soyer, H. Peter
IMPORTANCE Standardizing dermatological imaging is important to improve monitoring of skin lesions and skin conditions, ensure the availability of high-quality images for teledermatology, and contribute to the development of a robust archive of skin
Externí odkaz:
http://hdl.handle.net/10150/624154
http://arizona.openrepository.com/arizona/handle/10150/624154
http://arizona.openrepository.com/arizona/handle/10150/624154
Autor:
Katragadda, Chinmayee, Finnane, Anna, Soyer, H. Peter, Marghoob, Ashfaq A., Halpern, Allan, Malvehy, Josep, Kittler, Harald, Hofmann-Wellenhof, Rainer, Da Silva, Dennis, Abraham, Ivo, Curiel-Lewandrowski, Clara
IMPORTANCE Variability in the metrics for image acquisition at the total body, regional, close-up, and dermoscopic levels impacts the quality and generalizability of skin images. Consensus guidelines are indicated to achieve universal imaging standar
Externí odkaz:
http://hdl.handle.net/10150/623192
http://arizona.openrepository.com/arizona/handle/10150/623192
http://arizona.openrepository.com/arizona/handle/10150/623192
Autor:
Chanda, Tirtha, Hauser, Katja, Hobelsberger, Sarah, Bucher, Tabea-Clara, Garcia, Carina Nogueira, Wies, Christoph, Kittler, Harald, Tschandl, Philipp, Navarrete-Dechent, Cristian, Podlipnik, Sebastian, Chousakos, Emmanouil, Crnaric, Iva, Majstorovic, Jovana, Alhajwan, Linda, Foreman, Tanya, Peternel, Sandra, Sarap, Sergei, Özdemir, İrem, Barnhill, Raymond L., Velasco, Mar Llamas, Poch, Gabriela, Korsing, Sören, Sondermann, Wiebke, Gellrich, Frank Friedrich, Heppt, Markus V., Erdmann, Michael, Haferkamp, Sebastian, Drexler, Konstantin, Goebeler, Matthias, Schilling, Bastian, Utikal, Jochen S., Ghoreschi, Kamran, Fröhling, Stefan, Krieghoff-Henning, Eva, Brinker, Titus J.
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma poses severe obstacles to user acceptance. Explainable artificial int
Externí odkaz:
http://arxiv.org/abs/2303.12806
Autor:
Brancaccio, Gabriella, Balato, Anna, Malvehy, Josep, Puig, Susana, Argenziano, Giuseppe, Kittler, Harald
Publikováno v:
In Journal of Investigative Dermatology March 2024 144(3):492-499
Autor:
Liopyris, Konstantinos, Navarrete-Dechent, Cristian, Marchetti, Michael A., Rotemberg, Veronica, Apalla, Zoe, Argenziano, Giuseppe, Blum, Andreas, Braun, Ralph P., Carrera, Cristina, Codella, Noel C.F., Combalia, Marc, Dusza, Stephen W., Gutman, David A., Helba, Brian, Hofmann-Wellenhof, Rainer, Jaimes, Natalia, Kittler, Harald, Kose, Kivanc, Lallas, Aimilios, Longo, Caterina, Malvehy, Josep, Menzies, Scott, Nelson, Kelly C., Paoli, John, Puig, Susana, Rabinovitz, Harold S., Rishpon, Ayelet, Russo, Teresa, Scope, Alon, Soyer, H. Peter, Stein, Jennifer A., Stolz, Willhelm, Sgouros, Dimitrios, Stratigos, Alexander J., Swanson, David L., Thomas, Luc, Tschandl, Philipp, Zalaudek, Iris, Weber, Jochen, Halpern, Allan C., Marghoob, Ashfaq A.
Publikováno v:
In Journal of Investigative Dermatology March 2024 144(3):531-539
Autor:
Rotemberg, Veronica, Kurtansky, Nicholas, Betz-Stablein, Brigid, Caffery, Liam, Chousakos, Emmanouil, Codella, Noel, Combalia, Marc, Dusza, Stephen, Guitera, Pascale, Gutman, David, Halpern, Allan, Kittler, Harald, Kose, Kivanc, Langer, Steve, Lioprys, Konstantinos, Malvehy, Josep, Musthaq, Shenara, Nanda, Jabpani, Reiter, Ofer, Shih, George, Stratigos, Alexander, Tschandl, Philipp, Weber, Jochen, Soyer, H. Peter
Prior skin image datasets have not addressed patient-level information obtained from multiple skin lesions from the same patient. Though artificial intelligence classification algorithms have achieved expert-level performance in controlled studies ex
Externí odkaz:
http://arxiv.org/abs/2008.07360
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.