Zobrazeno 1 - 10
of 1 366
pro vyhledávání: '"Wentland A"'
This paper presents and evaluates a framework for the coupling of subdomain-local projection-based reduced order models (PROMs) using the Schwarz alternating method following a domain decomposition (DD) of the spatial domain on which a given problem
Externí odkaz:
http://arxiv.org/abs/2410.04668
This paper presents and evaluates an approach for coupling together subdomain-local reduced order models (ROMs) constructed via non-intrusive operator inference (OpInf) with each other and with subdomain-local full order models (FOMs), following a do
Externí odkaz:
http://arxiv.org/abs/2409.01433
Autor:
Wentland, Christopher R., Weylandt, Michael, Swiler, Laura P., Ehrmann, Thomas S., Bull, Diana
Attribution of climate impacts to a source forcing is critical to understanding, communicating, and addressing the effects of human influence on the climate. While standard attribution methods, such as optimal fingerprinting, have been successfully a
Externí odkaz:
http://arxiv.org/abs/2409.01396
Autor:
Blankemeier, Louis, Cohen, Joseph Paul, Kumar, Ashwin, Van Veen, Dave, Gardezi, Syed Jamal Safdar, Paschali, Magdalini, Chen, Zhihong, Delbrouck, Jean-Benoit, Reis, Eduardo, Truyts, Cesar, Bluethgen, Christian, Jensen, Malte Engmann Kjeldskov, Ostmeier, Sophie, Varma, Maya, Valanarasu, Jeya Maria Jose, Fang, Zhongnan, Huo, Zepeng, Nabulsi, Zaid, Ardila, Diego, Weng, Wei-Hung, Junior, Edson Amaro, Ahuja, Neera, Fries, Jason, Shah, Nigam H., Johnston, Andrew, Boutin, Robert D., Wentland, Andrew, Langlotz, Curtis P., Hom, Jason, Gatidis, Sergios, Chaudhari, Akshay S.
Over 85 million computed tomography (CT) scans are performed annually in the US, of which approximately one quarter focus on the abdomen. Given the current radiologist shortage, there is a large impetus to use artificial intelligence to alleviate the
Externí odkaz:
http://arxiv.org/abs/2406.06512
Objective: Automated segmentation tools are useful for calculating kidney volumes rapidly and accurately. Furthermore, these tools have the power to facilitate large-scale image-based artificial intelligence projects by generating input labels, such
Externí odkaz:
http://arxiv.org/abs/2405.08282
Autor:
Gardezi, Syed Jamal Safdar, Aronson, Lucas, Wawrzyn, Peter, Yu, Hongkun, Abel, E. Jason, Shapiro, Daniel D., Lubner, Meghan G., Warner, Joshua, Toia, Giuseppe, Mao, Lu, Tiwari, Pallavi, Wentland, Andrew L.
Purpose: To develop and evaluate a transformer-based deep learning model for the synthesis of nephrographic phase images in CT urography (CTU) examinations from the unenhanced and urographic phases. Materials and Methods: This retrospective study was
Externí odkaz:
http://arxiv.org/abs/2405.04629
Physics-informed neural networks (PINNs) are appealing data-driven tools for solving and inferring solutions to nonlinear partial differential equations (PDEs). Unlike traditional neural networks (NNs), which train only on solution data, a PINN incor
Externí odkaz:
http://arxiv.org/abs/2311.00224
Autor:
Blankemeier, Louis, Desai, Arjun, Chaves, Juan Manuel Zambrano, Wentland, Andrew, Yao, Sally, Reis, Eduardo, Jensen, Malte, Bahl, Bhanushree, Arora, Khushboo, Patel, Bhavik N., Lenchik, Leon, Willis, Marc, Boutin, Robert D., Chaudhari, Akshay S.
Computed tomography (CT) is routinely used in clinical practice to evaluate a wide variety of medical conditions. While CT scans provide diagnoses, they also offer the ability to extract quantitative body composition metrics to analyze tissue volume
Externí odkaz:
http://arxiv.org/abs/2302.06568
Autor:
Naveen Kumar, Pon Ganish Prakash, Christian Wentland, Shilpa Mary Kurian, Gaurav Jethva, Volker Brinkmann, Hans-Joachim Mollenkopf, Tobias Krammer, Christophe Toussaint, Antoine-Emmanuel Saliba, Matthias Biebl, Christian Jürgensen, Bertram Wiedenmann, Thomas F. Meyer, Rajendra Kumar Gurumurthy, Cindrilla Chumduri
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract The gastroesophageal squamocolumnar junction (GE-SCJ) is a critical tissue interface between the esophagus and stomach, with significant relevance in the pathophysiology of gastrointestinal diseases. Despite this, the molecular mechanisms un
Externí odkaz:
https://doaj.org/article/92e5c859ad5a452d9912442eb093da20
Efficiently reducing models of chemically reacting flows is often challenging because their characteristic features such as sharp gradients in the flow fields and couplings over various time and length scales lead to dynamics that evolve in high-dime
Externí odkaz:
http://arxiv.org/abs/2209.06957