Zobrazeno 1 - 10
of 23 806
pro vyhledávání: '"A, Hyland"'
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:
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:
Hyland-Wood, David, Johnson, Sandra
This paper summarises the intersection of Web3 and AI technologies, synergies between these technologies, and gaps that we suggest exist in the conception of the possible integrations of these technologies. The summary is informed by a comprehensive
Externí odkaz:
http://arxiv.org/abs/2411.04318
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:
Abdulaal, Ahmed, Fry, Hugo, Montaña-Brown, Nina, Ijishakin, Ayodeji, Gao, Jack, Hyland, Stephanie, Alexander, Daniel C., Castro, Daniel C.
Radiological services are experiencing unprecedented demand, leading to increased interest in automating radiology report generation. Existing Vision-Language Models (VLMs) suffer from hallucinations, lack interpretability, and require expensive fine
Externí odkaz:
http://arxiv.org/abs/2410.03334
Autor:
Da Costa, Lancelot, Gavenčiak, Tomáš, Hyland, David, Samiei, Mandana, Dragos-Manta, Cristian, Pattisapu, Candice, Razi, Adeel, Friston, Karl
This paper offers a roadmap for the development of scalable aligned artificial intelligence (AI) from first principle descriptions of natural intelligence. In brief, a possible path toward scalable aligned AI rests upon enabling artificial agents to
Externí odkaz:
http://arxiv.org/abs/2410.00258
One of the most powerful and enduring ideas in written discourse analysis is that genres can be described in terms of the moves which structure a writer's purpose. Considerable research has sought to identify these distinct communicative acts, but an
Externí odkaz:
http://arxiv.org/abs/2407.15612
Autor:
Bannur, Shruthi, Bouzid, Kenza, Castro, Daniel C., Schwaighofer, Anton, Thieme, Anja, Bond-Taylor, Sam, Ilse, Maximilian, Pérez-García, Fernando, Salvatelli, Valentina, Sharma, Harshita, Meissen, Felix, Ranjit, Mercy, Srivastav, Shaury, Gong, Julia, Codella, Noel C. F., Falck, Fabian, Oktay, Ozan, Lungren, Matthew P., Wetscherek, Maria Teodora, Alvarez-Valle, Javier, Hyland, Stephanie L.
Radiology reporting is a complex task requiring detailed medical image understanding and precise language generation, for which generative multimodal models offer a promising solution. However, to impact clinical practice, models must achieve a high
Externí odkaz:
http://arxiv.org/abs/2406.04449
Autor:
Paraschos, G. F., Wielgus, M., Benke, P., Mpisketzis, V., Rösch, F., Dasyra, K., Ros, E., Kadler, M., Ojha, R., Edwards, P. G., Hyland, L., Quick, J. F. H., Weston, S.
Publikováno v:
A&A 687, L6 (2024)
Radio galaxies harbouring jetted active galactic nuclei are a frequent target of very-long-baseline interferometry (VLBI) because they play an essential role in exploring how jets form and propagate. Hence, only few have not been detected with VLBI y
Externí odkaz:
http://arxiv.org/abs/2406.02660
The integration of traditional fixed-route transit (FRT) and more flexible microtransit has been touted as a means of improving mobility and access to opportunity, increasing transit ridership, and promoting environmental sustainability. To help eval
Externí odkaz:
http://arxiv.org/abs/2405.19527