Zobrazeno 1 - 10
of 2 908
pro vyhledávání: '"CHANG, PETER"'
Autor:
Chang, Peter, Ishrak, Ragib, Hoghooghi, Nazanin, Egbert, Scott, Rieker, Gregory B., Diddams, Scott A., Reddy, Rohith
We introduce a new parallelized approach to photothermal microscopy that utilizes mid-infrared dual-comb lasers, enabling simultaneous measurements at hundreds of wavelengths. This technology allows for high-speed, label-free chemical identification
Externí odkaz:
http://arxiv.org/abs/2409.15685
Autor:
Chang, Peter, Ishrak, Ragib, Hoghooghi, Nazanin, Egbert, Scott, Lesko, Daniel, Swartz, Stephanie, Biegert, Jens, Rieker, Gregory B., Reddy, Rohith, Diddams, Scott A.
Mid-infrared microscopy is an important tool for biological analyses, allowing a direct probe of molecular bonds in their low energy landscape. In addition to the label-free extraction of spectroscopic information, the application of broadband source
Externí odkaz:
http://arxiv.org/abs/2407.01973
Publikováno v:
NeurIPS 2024
We propose a novel approach to sequential Bayesian inference based on variational Bayes. The key insight is that, in the online setting, we do not need to add the KL term to regularize to the prior (which comes from the posterior at the previous time
Externí odkaz:
http://arxiv.org/abs/2405.19681
Autor:
Rudie, Jeffrey D., Lin, Hui-Ming, Ball, Robyn L., Jalal, Sabeena, Prevedello, Luciano M., Nicolaou, Savvas, Marinelli, Brett S., Flanders, Adam E., Magudia, Kirti, Shih, George, Davis, Melissa A., Mongan, John, Chang, Peter D., Berger, Ferco H., Hermans, Sebastiaan, Law, Meng, Richards, Tyler, Grunz, Jan-Peter, Kunz, Andreas Steven, Mathur, Shobhit, Galea-Soler, Sandro, Chung, Andrew D., Afat, Saif, Kuo, Chin-Chi, Aweidah, Layal, Campos, Ana Villanueva, Somasundaram, Arjuna, Tijmes, Felipe Antonio Sanchez, Jantarangkoon, Attaporn, Bittencourt, Leonardo Kayat, Brassil, Michael, Hajjami, Ayoub El, Dogan, Hakan, Becircic, Muris, Bharatkumar, Agrahara G., Farina, Eduardo Moreno Júdice de Mattos, Group, Dataset Curator, Group, Dataset Contributor, Group, Dataset Annotator, Colak, Errol
The RSNA Abdominal Traumatic Injury CT (RATIC) dataset is the largest publicly available collection of adult abdominal CT studies annotated for traumatic injuries. This dataset includes 4,274 studies from 23 institutions across 14 countries. The data
Externí odkaz:
http://arxiv.org/abs/2405.19595
Autor:
Tsao, Eugene J., Lind, Alexander J., Fredrick, Connor, Cole, Ryan K., Chang, Peter, Chang, Kristina F., Lee, Dahyeon, Heyrich, Matthew, Hoghooghi, Nazanin, Quinlan, Franklyn, Diddams, Scott A.
The detection of light of thermal origin is the principal means by which humanity has learned about our world and the cosmos. In optical astronomy, in particular, direct detection of thermal photons and the resolution of their spectra have enabled di
Externí odkaz:
http://arxiv.org/abs/2405.14842
Autor:
Chang, Peter D.
This paper introduces the DeepATLAS foundational model for localization tasks in the domain of high-dimensional biomedical data. Upon convergence of the proposed self-supervised objective, a pretrained model maps an input to an anatomically-consisten
Externí odkaz:
http://arxiv.org/abs/2402.09587
Autor:
Do, Binh N, Tran, Tien V, Phan, Dung T, Nguyen, Hoang C, Nguyen, Thao T P, Nguyen, Huu C, Ha, Tung H, Dao, Hung K, Trinh, Manh V, Do, Thinh V, Nguyen, Hung Q, Vo, Tam T, Nguyen, Nhan P T, Tran, Cuong Q, Tran, Khanh V, Duong, Trang T, Pham, Hai X, Nguyen, Lam V, Nguyen, Kien T, Chang, Peter W S, Duong, Tuyen Van
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 11, p e22894 (2020)
BackgroundThe COVID-19 pandemic has imposed a heavy burden on health care systems and governments. Health literacy (HL) and eHealth literacy (as measured by the eHealth Literacy Scale [eHEALS]) are recognized as strategic public health elements but t
Externí odkaz:
https://doaj.org/article/44e52ec8321b4113977a6860577da930
Autor:
Chang, Peter, Roy, Arkaprava
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a novel non-parametric treatm
Externí odkaz:
http://arxiv.org/abs/2401.16571
Autor:
Chang, Kristina F., Lesko, Daniel M. B., Mashburn, Carter, Chang, Peter, Tsao, Eugene, Lind, Alexander J., Diddams, Scott A.
Dual-comb spectroscopy in the ultraviolet (UV) and visible would enable broad bandwidth electronic spectroscopy with unprecedented frequency resolution. However, there are significant challenges in generation, detection and processing of dual-comb da
Externí odkaz:
http://arxiv.org/abs/2312.08492
Autor:
Neel, Seth, Chang, Peter
This is the first survey of the active area of AI research that focuses on privacy issues in Large Language Models (LLMs). Specifically, we focus on work that red-teams models to highlight privacy risks, attempts to build privacy into the training or
Externí odkaz:
http://arxiv.org/abs/2312.06717