Zobrazeno 1 - 10
of 28 594
pro vyhledávání: '"Perlman, Or"'
Magnetic resonance imaging (MRI) relies on radiofrequency (RF) excitation of proton spin. Clinical diagnosis requires a comprehensive collation of biophysical data via multiple MRI contrasts, acquired using a series of RF sequences that lead to lengt
Externí odkaz:
http://arxiv.org/abs/2408.08376
Autor:
Grieve, Jack, Bartl, Sara, Fuoli, Matteo, Grafmiller, Jason, Huang, Weihang, Jawerbaum, Alejandro, Murakami, Akira, Perlman, Marcus, Roemling, Dana, Winter, Bodo
In this paper, we introduce a sociolinguistic perspective on language modeling. We claim that large language models are inherently models of varieties of language, and we consider how this insight can inform the development and deployment of large la
Externí odkaz:
http://arxiv.org/abs/2407.09241
Autor:
Benrimoh, David, Armstrong, Caitrin, Mehltretter, Joseph, Fratila, Robert, Perlman, Kelly, Israel, Sonia, Kapelner, Adam, Parikh, Sagar V., Karp, Jordan F., Heller, Katherine, Turecki, Gustavo
INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-and-error approach. We introduce an artificial intelligence (AI) model aiming to personalize treatment and improve outcomes, which was deployed in the Ar
Externí odkaz:
http://arxiv.org/abs/2406.04993
Autor:
Perlman, Michael
This paper is concerned with local cohomology sheaves on generalized flag varieties supported in closed Schubert varieties, which carry natural structures as (mixed Hodge) D-modules. We employ Kazhdan--Lusztig theory and Saito's theory of mixed Hodge
Externí odkaz:
http://arxiv.org/abs/2405.02142
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides a comprehensive overview of recent advances in DL for MRI reconstructi
Externí odkaz:
http://arxiv.org/abs/2404.15692
Autor:
Perlman, Michael D.
A {\it pure significance test} (PST) tests a simple null hypothesis $H_f:Y\sim f$ {\it without specifying an alternative hypothesis} by rejecting $H_f$ for {\it small} values of $f(Y)$. When the sample space supports a proper uniform pmf $f_\mathrm{u
Externí odkaz:
http://arxiv.org/abs/2404.13248
Autor:
Cattell-Ravdal, Bjørn, Delargy, Erin, Ganguly, Akash, Guan, Sean, Karn, Trevor, Perlman, Michael, Sivakumar, Saisudharshan
We consider the polynomial ring in finitely many variables over an algebraically closed field of positive characteristic, and initiate the systematic study of ideals preserved by the action of the general linear group by changes of coordinates. We sh
Externí odkaz:
http://arxiv.org/abs/2404.10544
Autor:
Tie, Xin, Shin, Muheon, Lee, Changhee, Perlman, Scott B., Huemann, Zachary, Weisman, Amy J., Castellino, Sharon M., Kelly, Kara M., McCarten, Kathleen M., Alazraki, Adina L., Hu, Junjie, Cho, Steve Y., Bradshaw, Tyler J.
$\textbf{Purpose}$: Automatic quantification of longitudinal changes in PET scans for lymphoma patients has proven challenging, as residual disease in interim-therapy scans is often subtle and difficult to detect. Our goal was to develop a longitudin
Externí odkaz:
http://arxiv.org/abs/2404.08611
We study how delays in NIH grant funding affect the career outcomes of research personnel. Using comprehensive earnings and tax records linked to university transaction data along with a difference-in-differences design, we find that a funding interr
Externí odkaz:
http://arxiv.org/abs/2402.07235
Autor:
Lőrincz, András C., Perlman, Michael
We study D-modules and related invariants on the space of 2 x 2 x n hypermatrices for n >= 3, which has finitely many orbits under the action of G = GL_2 x GL_2 x GL_n. We describe the category of coherent G-equivariant D-modules as the category of r
Externí odkaz:
http://arxiv.org/abs/2309.07697