Zobrazeno 1 - 10
of 4 108
pro vyhledávání: '"Arnaout A"'
The University of California--Irvine (UCI) Machine Learning (ML) Repository (UCIMLR) is consistently cited as one of the most popular dataset repositories, hosting hundreds of high-impact datasets. However, a significant portion, including 28.4% of t
Externí odkaz:
http://arxiv.org/abs/2410.09119
In deep learning, achieving high performance on image classification tasks requires diverse training sets. However, the current best practice$\unicode{x2013}$maximizing dataset size and class balance$\unicode{x2013}$does not guarantee dataset diversi
Externí odkaz:
http://arxiv.org/abs/2407.15724
Autor:
Miao, Brenda Y., Chen, Irene Y., Williams, Christopher YK, Davidson, Jaysón, Garcia-Agundez, Augusto, Sun, Shenghuan, Zack, Travis, Saria, Suchi, Arnaout, Rima, Quer, Giorgio, Sadaei, Hossein J., Torkamani, Ali, Beaulieu-Jones, Brett, Yu, Bin, Gianfrancesco, Milena, Butte, Atul J., Norgeot, Beau, Sushil, Madhumita
Recent advances in generative models, including large language models (LLMs), vision language models (VLMs), and diffusion models, have accelerated the field of natural language and image processing in medicine and marked a significant paradigm shift
Externí odkaz:
http://arxiv.org/abs/2403.02558
Autor:
Nguyen, Phuc, Arora, Rohit, Hill, Elliot D., Braun, Jasper, Morgan, Alexandra, Quintana, Liza M., Mazzoni, Gabrielle, Lee, Ghee Rye, Arnaout, Rima, Arnaout, Ramy
Machine-learning datasets are typically characterized by measuring their size and class balance. However, there exists a richer and potentially more useful set of measures, termed diversity measures, that incorporate elements' frequencies and between
Externí odkaz:
http://arxiv.org/abs/2401.00102
Autor:
Couch, Josiah, Arora, Rohit, Braun, Jasper, Kaplinsky, Joesph, Hill, Elliot, Li, Anthony, Altschul, Brett, Arnaout, Ramy
Previously, it has been shown that maximum-entropy models of immune-repertoire sequence can be used to determine a person's vaccination status. However, this approach has the drawback of requiring a computationally intensive method to compute each mo
Externí odkaz:
http://arxiv.org/abs/2312.12525
Autor:
Ferreira, Danielle, Arnaout, Rima
Foundation models are experiencing a surge in popularity. The Segment Anything model (SAM) asserts an ability to segment a wide spectrum of objects but required supervised training at unprecedented scale. We compared SAM's performance (against clinic
Externí odkaz:
http://arxiv.org/abs/2311.04847
Autor:
Ahmed Mazen Amin, Abubakar Nazir, Mohamed T. Abuelazm, Ahmed A. Ibrahim, Hossam Elbenawi, Aya Aboutaleb, Mohamed Ellabban, Moumen Arnaout, Mustafa Turkmani, Basel Abdelazeem, Annabelle S. Volgman
Publikováno v:
Journal of Arrhythmia, Vol 40, Iss 5, Pp 1059-1074 (2024)
Abstract Background Pulsed‐field ablation (PFA) has emerged as an innovative alternative to radiofrequency (RF) and cryoablation because it selectively targets myocardial tissue. Thus, we aim to estimate the efficacy and safety of PFA versus therma
Externí odkaz:
https://doaj.org/article/bb25b11352e64e1db1dd0a7f914225f3
Autor:
Brian D. Adair, Conroy O. Field, José L. Alonso, Jian-Ping Xiong, Shi-Xian Deng, Hyun Sook Ahn, Eivgeni Mashin, Clary B. Clish, Johannes van Agthoven, Mark Yeager, Youzhong Guo, David A. Tess, Donald W. Landry, Mortimer Poncz, M. Amin Arnaout
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Venous thrombosis (VT) is a common vascular disease associated with reduced survival and a high recurrence rate. VT is initiated by the accumulation of platelets and neutrophils at sites of endothelial cell activation. A role for platelet α
Externí odkaz:
https://doaj.org/article/5cb4e38292ca4761ba710d35e201c213
Publikováno v:
Egyptian Journal of Neurosurgery, Vol 39, Iss 1, Pp 1-11 (2024)
Abstract Metastases in the brain are a devastating and common cancer with a poor prognosis. Physicians, on the other hand, may help their patients by suspecting, recognizing, and treating them correctly. It is predicted that between 8 and 10% of canc
Externí odkaz:
https://doaj.org/article/dcd612bfdc4d4302af5a0281707b65d8
Autor:
Kevin T. Huang, Jack McNulty, Helweh Hussein, Neil Klinger, Melissa M. J. Chua, Patrick R. Ng, Joshua Chalif, Neel H. Mehta, Omar Arnaout
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract While ventricular shunts are the main treatment for adult hydrocephalus, shunt malfunction remains a common problem that can be challenging to diagnose. Computer vision-derived algorithms present a potential solution. We designed a feasibili
Externí odkaz:
https://doaj.org/article/7d9bff640da54ce0bd402dbef9247b75