Zobrazeno 1 - 10
of 89 173
pro vyhledávání: '"Hein, A"'
Autor:
Blohm, Kolja, Korfkamp, David, Hübner, Joachim, Oesterling, Florian, Schulze, Stefanie, Hein, Andreas
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 20, p Doc11 (2024)
In this paper we evaluate the suitability of the Clinical Query Language (CQL) for supporting various data analysis tasks in German cancer registries. CQL is a domain-specific query language for clinical data. It is particularly used in the United St
Externí odkaz:
https://doaj.org/article/84c0d2c1557d463e9a3fd3075f49157c
Autor:
Christodoulou, Evangelia, Reinke, Annika, Houhou, Rola, Kalinowski, Piotr, Erkan, Selen, Sudre, Carole H., Burgos, Ninon, Boutaj, Sofiène, Loizillon, Sophie, Solal, Maëlys, Rieke, Nicola, Cheplygina, Veronika, Antonelli, Michela, Mayer, Leon D., Tizabi, Minu D., Cardoso, M. Jorge, Simpson, Amber, Jäger, Paul F., Kopp-Schneider, Annette, Varoquaux, Gaël, Colliot, Olivier, Maier-Hein, Lena
Medical imaging is spearheading the AI transformation of healthcare. Performance reporting is key to determine which methods should be translated into clinical practice. Frequently, broad conclusions are simply derived from mean performance values. I
Externí odkaz:
http://arxiv.org/abs/2409.17763
Autor:
Rokuss, Maximilian, Kirchhoff, Yannick, Roy, Saikat, Kovacs, Balint, Ulrich, Constantin, Wald, Tassilo, Zenk, Maximilian, Denner, Stefan, Isensee, Fabian, Vollmuth, Philipp, Kleesiek, Jens, Maier-Hein, Klaus
Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy. Although changes across time are taken into account when assessing images in clinical practice, m
Externí odkaz:
http://arxiv.org/abs/2409.13416
Autor:
Hein, Jonas, Grunder, Jan, Calvet, Lilian, Giraud, Frédéric, Cavalcanti, Nicola Alessandro, Carrillo, Fabio, Fürnstahl, Philipp
Virtual Reality technology, when integrated with Surgical Digital Twins (SDTs), offers significant potential in medical training and surgical planning. We present SurgTwinVR, a VR application that immerses users within an SDT and enables them to navi
Externí odkaz:
http://arxiv.org/abs/2409.11014
Autor:
Bai, Jieyun, Zhou, Zihao, Ou, Zhanhong, Koehler, Gregor, Stock, Raphael, Maier-Hein, Klaus, Elbatel, Marawan, Martí, Robert, Li, Xiaomeng, Qiu, Yaoyang, Gou, Panjie, Chen, Gongping, Zhao, Lei, Zhang, Jianxun, Dai, Yu, Wang, Fangyijie, Silvestre, Guénolé, Curran, Kathleen, Sun, Hongkun, Xu, Jing, Cai, Pengzhou, Jiang, Lu, Lan, Libin, Ni, Dong, Zhong, Mei, Chen, Gaowen, Campello, Víctor M., Lu, Yaosheng, Lekadir, Karim
Segmentation of the fetal and maternal structures, particularly intrapartum ultrasound imaging as advocated by the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) for monitoring labor progression, is a crucial first step for
Externí odkaz:
http://arxiv.org/abs/2409.10980
Flagellated bacteria are hydrodynamically attracted to rigid walls, yet past work shows a 'hovering' state where they swim stably at a finite height above surfaces. We use numerics and theory to reveal the physical origin of hovering. Simulations fir
Externí odkaz:
http://arxiv.org/abs/2409.10447
Autor:
Kovacs, Balint, Xiao, Shuhan, Rokuss, Maximilian, Ulrich, Constantin, Isensee, Fabian, Maier-Hein, Klaus H.
The third autoPET challenge introduced a new data-centric task this year, shifting the focus from model development to improving metastatic lesion segmentation on PET/CT images through data quality and handling strategies. In response, we developed t
Externí odkaz:
http://arxiv.org/abs/2409.10120
Autor:
Rokuss, Maximilian, Kovacs, Balint, Kirchhoff, Yannick, Xiao, Shuhan, Ulrich, Constantin, Maier-Hein, Klaus H., Isensee, Fabian
Automated lesion segmentation in PET/CT scans is crucial for improving clinical workflows and advancing cancer diagnostics. However, the task is challenging due to physiological variability, different tracers used in PET imaging, and diverse imaging
Externí odkaz:
http://arxiv.org/abs/2409.09478
Autor:
Gomon, Daniel, Putter, Hein
Panel data arises when transitions between different states are interval-censored in multi-state data. The analysis of such data using non-parametric multi-state models was not possible until recently, but is very desirable as it allows for more flex
Externí odkaz:
http://arxiv.org/abs/2409.07176
Autor:
Baumann, Alexander, Ayala, Leonardo, Studier-Fischer, Alexander, Sellner, Jan, Özdemir, Berkin, Kowalewski, Karl-Friedrich, Ilic, Slobodan, Seidlitz, Silvia, Maier-Hein, Lena
Hyperspectral imaging (HSI) is emerging as a promising novel imaging modality with various potential surgical applications. Currently available cameras, however, suffer from poor integration into the clinical workflow because they require the lights
Externí odkaz:
http://arxiv.org/abs/2409.07094