Zobrazeno 1 - 10
of 5 044
pro vyhledávání: '"Reischl, A."'
The assessment of bias within Large Language Models (LLMs) has emerged as a critical concern in the contemporary discourse surrounding Artificial Intelligence (AI) in the context of their potential impact on societal dynamics. Recognizing and conside
Externí odkaz:
http://arxiv.org/abs/2405.13041
Autor:
Ziegelmayer, Sebastian, Marka, Alexander W., Lenhart, Nicolas, Nehls, Nadja, Reischl, Stefan, Harder, Felix, Sauter, Andreas, Makowski, Marcus, Graf, Markus, Gawlitza, Joshua
Publikováno v:
J Med Internet Res 2023;25:e50865
The remarkable generative capabilities of multimodal foundation models are currently being explored for a variety of applications. Generating radiological impressions is a challenging task that could significantly reduce the workload of radiologists.
Externí odkaz:
http://arxiv.org/abs/2311.06815
Autor:
Sitcheu, Angelo Yamachui, Friederich, Nils, Baeuerle, Simon, Neumann, Oliver, Reischl, Markus, Mikut, Ralf
Nowadays, Machine Learning (ML) is experiencing tremendous popularity that has never been seen before. The operationalization of ML models is governed by a set of concepts and methods referred to as Machine Learning Operations (MLOps). Nevertheless,
Externí odkaz:
http://arxiv.org/abs/2309.15521
Autor:
Luca Rettenberger, Nathan J. Szymanski, Yan Zeng, Jan Schuetzke, Shilong Wang, Gerbrand Ceder, Markus Reischl
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Electron microscopy is indispensable for examining the morphology and composition of solid materials at the sub-micron scale. To study the powder samples that are widely used in materials development, scanning electron microscopes (SEMs) are
Externí odkaz:
https://doaj.org/article/d2ce6362c1654ad1ad58f49d4b0e77f2
Autor:
Tara C. Mueller, Martin Henselmann, Stefan Reischl, Carsten Jaeger, Charlotte Trefzer, Ihsan Ekin Demir, Helmut Friess, Marc E. Martignoni
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Pancreatic cancer is often accompanied by wasting conditions. While surgery is the primary curative approach, it poses a substantial risk of postoperative complications, hindering subsequent treatments. Therefore, identifying pati
Externí odkaz:
https://doaj.org/article/7030a6b7529442e0aeedeeda65fdefa4
Autor:
Graham, Simon, Vu, Quoc Dang, Jahanifar, Mostafa, Weigert, Martin, Schmidt, Uwe, Zhang, Wenhua, Zhang, Jun, Yang, Sen, Xiang, Jinxi, Wang, Xiyue, Rumberger, Josef Lorenz, Baumann, Elias, Hirsch, Peter, Liu, Lihao, Hong, Chenyang, Aviles-Rivero, Angelica I., Jain, Ayushi, Ahn, Heeyoung, Hong, Yiyu, Azzuni, Hussam, Xu, Min, Yaqub, Mohammad, Blache, Marie-Claire, Piégu, Benoît, Vernay, Bertrand, Scherr, Tim, Böhland, Moritz, Löffler, Katharina, Li, Jiachen, Ying, Weiqin, Wang, Chixin, Kainmueller, Dagmar, Schönlieb, Carola-Bibiane, Liu, Shuolin, Talsania, Dhairya, Meda, Yughender, Mishra, Prakash, Ridzuan, Muhammad, Neumann, Oliver, Schilling, Marcel P., Reischl, Markus, Mikut, Ralf, Huang, Banban, Chien, Hsiang-Chin, Wang, Ching-Ping, Lee, Chia-Yen, Lin, Hong-Kun, Liu, Zaiyi, Pan, Xipeng, Han, Chu, Cheng, Jijun, Dawood, Muhammad, Deshpande, Srijay, Bashir, Raja Muhammad Saad, Shephard, Adam, Costa, Pedro, Nunes, João D., Campilho, Aurélio, Cardoso, Jaime S., S, Hrishikesh P, Puthussery, Densen, G, Devika R, C V, Jiji, Zhang, Ye, Fang, Zijie, Lin, Zhifan, Zhang, Yongbing, Lin, Chunhui, Zhang, Liukun, Mao, Lijian, Wu, Min, Vo, Vi Thi-Tuong, Kim, Soo-Hyung, Lee, Taebum, Kondo, Satoshi, Kasai, Satoshi, Dumbhare, Pranay, Phuse, Vedant, Dubey, Yash, Jamthikar, Ankush, Vuong, Trinh Thi Le, Kwak, Jin Tae, Ziaei, Dorsa, Jung, Hyun, Miao, Tianyi, Snead, David, Raza, Shan E Ahmed, Minhas, Fayyaz, Rajpoot, Nasir M.
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest
Externí odkaz:
http://arxiv.org/abs/2303.06274
Autor:
Marilena Poxleitner, Sabrina H. L. Hoffmann, Georgy Berezhnoy, Tudor M. Ionescu, Irene Gonzalez-Menendez, Florian C. Maier, Dominik Seyfried, Walter Ehrlichmann, Leticia Quintanilla-Martinez, Andreas M. Schmid, Gerald Reischl, Christoph Trautwein, Andreas Maurer, Bernd J. Pichler, Kristina Herfert, Nicolas Beziere
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-29 (2024)
Abstract Diet-induced increase in body weight is a growing health concern worldwide. Often accompanied by a low-grade metabolic inflammation that changes systemic functions, diet-induced alterations may contribute to neurodegenerative disorder progre
Externí odkaz:
https://doaj.org/article/67e4f3a5099d4da3aa33f787295c7a78
Autor:
Dominik Sonanini, Johannes Schwenck, Simone Blaess, Julia Schmitt, Andreas Maurer, Walter Ehrlichmann, Malte Ritter, Julia Skokowa, Manfred Kneilling, Gundram Jung, Falko Fend, Simon Krost, Christian M. Seitz, Peter Lang, Gerald Reischl, Rupert Handgretinger, Christian la Fougère, Bernd J. Pichler
Publikováno v:
Biomarker Research, Vol 12, Iss 1, Pp 1-5 (2024)
Abstract Cell- and antibody-based CD19-directed therapies have demonstrated great potential for treating B-cell non-Hodgkin lymphoma (B-NHL). However, all these approaches suffer from limited response rates and considerable toxicity. Until now, thera
Externí odkaz:
https://doaj.org/article/4976f3f87c4446a5acbfe8a9bcce0cd4
Publikováno v:
Schulte, H. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. KIT Scientific Publishing, 2022
Various research domains use machine learning approaches because they can solve complex tasks by learning from data. Deploying machine learning models, however, is not trivial and developers have to implement complete solutions which are often instal
Externí odkaz:
http://arxiv.org/abs/2211.14417
Autor:
Mario Vitacolonna, Roman Bruch, Ane Agaçi, Elina Nürnberg, Tiziana Cesetti, Florian Keller, Francesco Padovani, Simeon Sauer, Kurt M. Schmoller, Markus Reischl, Mathias Hafner, Rüdiger Rudolf
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
Spheroids have become principal three-dimensional models to study cancer, developmental processes, and drug efficacy. Single-cell analysis techniques have emerged as ideal tools to gauge the complexity of cellular responses in these models. However,
Externí odkaz:
https://doaj.org/article/5c372ecc69c441dca89fee11ea6b5c66