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Autor:
Shruthi, Kumar, B. R. Srivatsa
Publikováno v:
Rendiconti del Circolo Matematico di Palermo (Series 2); Dec2024, Vol. 73 Issue 8, p3055-3064, 10p
Autor:
Mario, Sushil, Pothamsetti, Pavan Teja, Thalakottor, Louie Antony, Vishwanath, Trisha, A, Sanjay H., Ahmed, Anees, Sinno, Salvatore, Thuravakkath, Shruthi, M, Sinthuja
One of the most well-known problems in transportation and logistics is the Capacitated Vehicle Routing Problem (CVRP). It involves optimizing a set of truck routes to service a set of customers, subject to limits on truck capacity, to reduce travel c
Externí odkaz:
http://arxiv.org/abs/2412.02720
Autor:
Sharma, Harshita, Salvatelli, Valentina, Srivastav, Shaury, Bouzid, Kenza, Bannur, Shruthi, Castro, Daniel C., Ilse, Maximilian, Bond-Taylor, Sam, Ranjit, Mercy Prasanna, Falck, Fabian, Pérez-García, Fernando, Schwaighofer, Anton, Richardson, Hannah, Wetscherek, Maria Teodora, Hyland, Stephanie L., Alvarez-Valle, Javier
There is growing interest in applying AI to radiology report generation, particularly for chest X-rays (CXRs). This paper investigates whether incorporating pixel-level information through segmentation masks can improve fine-grained image interpretat
Externí odkaz:
http://arxiv.org/abs/2411.11362
Autor:
Agarwal, Mohit, Sun, Mimi, Kamath, Chaitanya, Muslim, Arbaaz, Sarker, Prithul, Paul, Joydeep, Yee, Hector, Sieniek, Marcin, Jablonski, Kim, Mayer, Yael, Fork, David, de Guia, Sheila, McPike, Jamie, Boulanger, Adam, Shekel, Tomer, Schottlander, David, Xiao, Yao, Manukonda, Manjit Chakravarthy, Liu, Yun, Bulut, Neslihan, Abu-el-haija, Sami, Eigenwillig, Arno, Kothari, Parth, Perozzi, Bryan, Bharel, Monica, Nguyen, Von, Barrington, Luke, Efron, Niv, Matias, Yossi, Corrado, Greg, Eswaran, Krish, Prabhakara, Shruthi, Shetty, Shravya, Prasad, Gautam
Supporting the health and well-being of dynamic populations around the world requires governmental agencies, organizations and researchers to understand and reason over complex relationships between human behavior and local contexts in order to ident
Externí odkaz:
http://arxiv.org/abs/2411.07207
Autor:
Castro, Daniel C., Bustos, Aurelia, Bannur, Shruthi, Hyland, Stephanie L., Bouzid, Kenza, Wetscherek, Maria Teodora, Sánchez-Valverde, Maria Dolores, Jaques-Pérez, Lara, Pérez-Rodríguez, Lourdes, Takeda, Kenji, Salinas, José María, Alvarez-Valle, Javier, Herrero, Joaquín Galant, Pertusa, Antonio
Radiology report generation (RRG) aims to create free-text radiology reports from clinical imaging. Grounded radiology report generation (GRRG) extends RRG by including the localisation of individual findings on the image. Currently, there are no man
Externí odkaz:
http://arxiv.org/abs/2411.05085
Autor:
Beeri, Gal, Chamot, Benoit, Latchem, Elena, Venkatesh, Shruthi, Whalan, Sarah, Kruger, Van Zyl, Martino, David
This exploratory pilot study investigated the potential of combining a domain-specific model, BERN2, with large language models (LLMs) to enhance automated disease phenotyping from research survey data. Motivated by the need for efficient and accurat
Externí odkaz:
http://arxiv.org/abs/2410.20695
Autor:
Chari, Shruthi
Explainable Artificial Intelligence (AI) focuses on helping humans understand the working of AI systems or their decisions and has been a cornerstone of AI for decades. Recent research in explainability has focused on explaining the workings of AI mo
Externí odkaz:
http://arxiv.org/abs/2410.17504
Autor:
Codella, Noel C. F., Jin, Ying, Jain, Shrey, Gu, Yu, Lee, Ho Hin, Abacha, Asma Ben, Santamaria-Pang, Alberto, Guyman, Will, Sangani, Naiteek, Zhang, Sheng, Poon, Hoifung, Hyland, Stephanie, Bannur, Shruthi, Alvarez-Valle, Javier, Li, Xue, Garrett, John, McMillan, Alan, Rajguru, Gaurav, Maddi, Madhu, Vijayrania, Nilesh, Bhimai, Rehaan, Mecklenburg, Nick, Jain, Rupal, Holstein, Daniel, Gaur, Naveen, Aski, Vijay, Hwang, Jenq-Neng, Lin, Thomas, Tarapov, Ivan, Lungren, Matthew, Wei, Mu
In this work, we present MedImageInsight, an open-source medical imaging embedding model. MedImageInsight is trained on medical images with associated text and labels across a diverse collection of domains, including X-Ray, CT, MRI, dermoscopy, OCT,
Externí odkaz:
http://arxiv.org/abs/2410.06542
Autor:
Daswani, Mayank, Bellaiche, Mathias M. J., Wilson, Marc, Ivanov, Desislav, Papkov, Mikhail, Schnider, Eva, Tang, Jing, Lamerigts, Kay, Botea, Gabriela, Sanchez, Michael A., Patel, Yojan, Prabhakara, Shruthi, Shetty, Shravya, Telang, Umesh
While multimodal foundation models can now natively work with data beyond text, they remain underutilized in analyzing the considerable amounts of multi-dimensional time-series data in fields like healthcare, finance, and social sciences, representin
Externí odkaz:
http://arxiv.org/abs/2410.02637