Zobrazeno 1 - 10
of 8 653
pro vyhledávání: '"Piening A"'
Autor:
Loacker, Leander D.
Publikováno v:
Rabels Zeitschrift für ausländisches und internationales Privatrecht / The Rabel Journal of Comparative and International Private Law, 2022 Jan 01. 86(1), 254-258.
Externí odkaz:
https://www.jstor.org/stable/45419024
Autor:
Witowski, Jan, Zeng, Ken, Cappadona, Joseph, Elayoubi, Jailan, Chiru, Elena Diana, Chan, Nancy, Kang, Young-Joon, Howard, Frederick, Ostrovnaya, Irina, Fernandez-Granda, Carlos, Schnabel, Freya, Ozerdem, Ugur, Liu, Kangning, Steinsnyder, Zoe, Thakore, Nitya, Sadic, Mohammad, Yeung, Frank, Liu, Elisa, Hill, Theodore, Swett, Benjamin, Rigau, Danielle, Clayburn, Andrew, Speirs, Valerie, Vetter, Marcus, Sojak, Lina, Soysal, Simone Muenst, Baumhoer, Daniel, Choucair, Khalil, Zong, Yu, Daoud, Lina, Saad, Anas, Abdulsattar, Waleed, Beydoun, Rafic, Pan, Jia-Wern, Makmur, Haslina, Teo, Soo-Hwang, Pak, Linda Ma, Angel, Victor, Zilenaite-Petrulaitiene, Dovile, Laurinavicius, Arvydas, Klar, Natalie, Piening, Brian D., Bifulco, Carlo, Jun, Sun-Young, Yi, Jae Pak, Lim, Su Hyun, Brufsky, Adam, Esteva, Francisco J., Pusztai, Lajos, LeCun, Yann, Geras, Krzysztof J.
Treatment selection in breast cancer is guided by molecular subtypes and clinical characteristics. Recurrence risk assessment plays a crucial role in personalizing treatment. Current methods, including genomic assays, have limited accuracy and clinic
Externí odkaz:
http://arxiv.org/abs/2410.21256
Contrast enhancement by Gadolinium-based contrast agents (GBCAs) is a vital tool for tumor diagnosis in neuroradiology. Based on brain MRI scans of glioblastoma before and after Gadolinium administration, we address enhancement prediction by neural n
Externí odkaz:
http://arxiv.org/abs/2410.08894
Facial analysis is a key component in a wide range of applications such as security, autonomous driving, entertainment, and healthcare. Despite the availability of various facial RGB datasets, the thermal modality, which plays a crucial role in life
Externí odkaz:
http://arxiv.org/abs/2408.15127
Autor:
Zhao, Theodore, Gu, Yu, Yang, Jianwei, Usuyama, Naoto, Lee, Ho Hin, Naumann, Tristan, Gao, Jianfeng, Crabtree, Angela, Abel, Jacob, Moung-Wen, Christine, Piening, Brian, Bifulco, Carlo, Wei, Mu, Poon, Hoifung, Wang, Sheng
Biomedical image analysis is fundamental for biomedical discovery in cell biology, pathology, radiology, and many other biomedical domains. Holistic image analysis comprises interdependent subtasks such as segmentation, detection, and recognition of
Externí odkaz:
http://arxiv.org/abs/2405.12971
Publikováno v:
In Finite Elements in Analysis & Design December 2014 92:60-71
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction
Autor:
Piening, Moritz, Altekrüger, Fabian, Hertrich, Johannes, Hagemann, Paul, Walther, Andrea, Steidl, Gabriele
The solution of inverse problems is of fundamental interest in medical and astronomical imaging, geophysics as well as engineering and life sciences. Recent advances were made by using methods from machine learning, in particular deep neural networks
Externí odkaz:
http://arxiv.org/abs/2312.16611
Autor:
Naik, Narmada, Khandelwal, Ayush, Joshi, Mohit, Atre, Madhusudan, Wright, Hollis, Kannan, Kavya, Hill, Scott, Mamidipudi, Giridhar, Srinivasa, Ganapati, Bifulco, Carlo, Piening, Brian, Matlock, Kevin
Causal discovery is becoming a key part in medical AI research. These methods can enhance healthcare by identifying causal links between biomarkers, demographics, treatments and outcomes. They can aid medical professionals in choosing more impactful
Externí odkaz:
http://arxiv.org/abs/2311.07191
Autor:
González, Javier, Wong, Cliff, Gero, Zelalem, Bagga, Jass, Ueno, Risa, Chien, Isabel, Oravkin, Eduard, Kiciman, Emre, Nori, Aditya, Weerasinghe, Roshanthi, Leidner, Rom S., Piening, Brian, Naumann, Tristan, Bifulco, Carlo, Poon, Hoifung
The rapid digitization of real-world data offers an unprecedented opportunity for optimizing healthcare delivery and accelerating biomedical discovery. In practice, however, such data is most abundantly available in unstructured forms, such as clinic
Externí odkaz:
http://arxiv.org/abs/2311.01301
Autor:
Wong, Cliff, Zhang, Sheng, Gu, Yu, Moung, Christine, Abel, Jacob, Usuyama, Naoto, Weerasinghe, Roshanthi, Piening, Brian, Naumann, Tristan, Bifulco, Carlo, Poon, Hoifung
Clinical trial matching is a key process in health delivery and discovery. In practice, it is plagued by overwhelming unstructured data and unscalable manual processing. In this paper, we conduct a systematic study on scaling clinical trial matching
Externí odkaz:
http://arxiv.org/abs/2308.02180