Zobrazeno 1 - 10
of 98 508
pro vyhledávání: '"DANIEL, C."'
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:
Palumbo, Daniel C. M.
The Event Horizon Telescope has released polarized images of the supermassive black holes Messier 87* (M87*) and Sagittarius A* (Sgr A*) accretion disks. As more images are produced, our understanding of the average polarized emission from near the e
Externí odkaz:
http://arxiv.org/abs/2412.06719
Autor:
Jain, Rakshit, Roddy, Matthew, Gupta, Vishakha, Huang, Benjamin, Sayeed, Hasan M., Alnaser, Husain F., Vashist, Amit, Watanabe, Kenji, Taniguchi, Takashi, Deshpande, Vikram V., Sparks, Taylor D., Ralph, Daniel C.
Quantized anomalous Hall effects (QAHEs) occur in remarkable electronic states which possess not only quantized Hall signals but in some cases regions of dissipationless electron transport. The initial demonstrations of a QAHE in a magnetically-doped
Externí odkaz:
http://arxiv.org/abs/2412.05380
Autor:
Hackett, Daniel C., Wagman, Michael L.
Recent work introduced a new framework for analyzing correlation functions with improved convergence and signal-to-noise properties, as well as rigorous quantification of excited-state effects, based on the Lanczos algorithm and spurious eigenvalue f
Externí odkaz:
http://arxiv.org/abs/2412.04444
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:
Xu, Moucheng, Zhou, Yukun, Goodwin-Allcock, Tobias, Firoozabadi, Kimia, Jacob, Joseph, Alexander, Daniel C., Slator, Paddy J.
We introduce and demonstrate a new paradigm for quantitative parameter mapping in MRI. Parameter mapping techniques, such as diffusion MRI and quantitative MRI, have the potential to robustly and repeatably measure biologically-relevant tissue maps t
Externí odkaz:
http://arxiv.org/abs/2411.10772
Autor:
Chen, Kai-Feng, Wilensky, Michael J., Liu, Adrian, Dillon, Joshua S., Hewitt, Jacqueline N., Adams, Tyrone, Aguirre, James E., Baartman, Rushelle, Beardsley, Adam P., Berkhout, Lindsay M., Bernardi, Gianni, Billings, Tashalee S., Bowman, Judd D., Bull, Philip, Burba, Jacob, Byrne, Ruby, Carey, Steven, Choudhuri, Samir, Cox, Tyler, DeBoer, David R., Dexter, Matt, Eksteen, Nico, Ely, John, Ewall-Wice, Aaron, Furlanetto, Steven R., Gale-Sides, Kingsley, Garsden, Hugh, Gehlot, Bharat Kumar, Gorce, Adélie, Gorthi, Deepthi, Halday, Ziyaad, Hazelton, Bryna J., Hickish, Jack, Jacobs, Daniel C., Josaitis, Alec, Kern, Nicholas S., Kerrigan, Joshua, Kittiwisit, Piyanat, Kolopanis, Matthew, La Plante, Paul, Lanman, Adam, Ma, Yin-Zhe, MacMahon, David H. E., Malan, Lourence, Malgas, Cresshim, Malgas, Keith, Marero, Bradley, Martinot, Zachary E., McBride, Lisa, Mesinger, Andrei, Mohamed-Hinds, Nicel, Molewa, Mathakane, Morales, Miguel F., Murray, Steven G., Nuwegeld, Hans, Parsons, Aaron R., Pascua, Robert, Qin, Yuxiang, Rath, Eleanor, Razavi-Ghods, Nima, Robnett, James, Santos, Mario G., Sims, Peter, Singh, Saurabh, Storer, Dara, Swarts, Hilton, Tan, Jianrong, van Wyngaarden, Pieter, Zheng, Haoxuan
The precise characterization and mitigation of systematic effects is one of the biggest roadblocks impeding the detection of the fluctuations of cosmological 21cm signals. Missing data in radio cosmological experiments, often due to radio frequency i
Externí odkaz:
http://arxiv.org/abs/2411.10529
Autor:
Vasan, Vivek, Agrawal, Anuj, Nico-Katz, Alexander, Horgan, Jerry, Bash, Boulat A., Kilper, Daniel C., Ruffini, Marco
We consider quantum networks, where entangled photon pairs are distributed using fibre optic links from a centralized source to entangling nodes. The entanglement is then stored (via an entanglement swap) in entangling nodes' quantum memories until u
Externí odkaz:
http://arxiv.org/abs/2411.07410
Autor:
McAleese, Hannah, Agrawal, Anuj, Vasan, Vivek, Campbell, Conall J., Hawkins, Adam G., Kilper, Daniel C., Paternostro, Mauro, Ruffini, Marco
Distributing entanglement over long distances remains a challenge due to its fragility when exposed to environmental effects. In this work, we compare various entanglement distribution protocols in a realistic noisy fiber network. We focus specifical
Externí odkaz:
http://arxiv.org/abs/2411.07306
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2023)
Image Quality Transfer (IQT) aims to enhance the contrast and resolution of low-quality medical images, e.g. obtained from low-power devices, with rich information learned from higher quality images. In contrast to existing IQT methods which adopt su
Externí odkaz:
http://arxiv.org/abs/2411.05885