Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Anuroop, Sriram"'
Autor:
Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary Ulissi, Matt Uyttendaele, Andrew J. Medford, David S. Sholl
Publikováno v:
ACS Central Science, Vol 10, Iss 5, Pp 923-941 (2024)
Externí odkaz:
https://doaj.org/article/e447ff80345c49028aa47749beb657df
Autor:
Patricia M. Johnson, Dana J. Lin, Jure Zbontar, C. Lawrence Zitnick, Anuroop Sriram, Matthew Muckley, James S. Babb, Mitchell Kline, Gina Ciavarra, Erin Alaia, Mohammad Samim, William R. Walter, Liz Calderon, Thomas Pock, Daniel K. Sodickson, Michael P. Recht, Florian Knoll
Publikováno v:
Radiology. 307
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23aaffb3c122831a481fbc1bba818478
https://doi.org/10.1148/radiol.220425
https://doi.org/10.1148/radiol.220425
Autor:
Alireza Radmanesh, Matthew J. Muckley, Tullie Murrell, Emma Lindsey, Anuroop Sriram, Florian Knoll, Daniel K. Sodickson, Yvonne W. Lui
Publikováno v:
Radiol Artif Intell
PURPOSE: To explore the limits of deep learning–based brain MRI reconstruction and identify useful acceleration ranges for general-purpose imaging and potential screening. MATERIALS AND METHODS: In this retrospective study conducted from 2019 throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f151c9c7a72d6ba737260f9f965a7b0
https://doi.org/10.1148/ryai.210313
https://doi.org/10.1148/ryai.210313
Autor:
Matthew J. Muckley, Jure Zbontar, William R. Walter, Mohammad Samim, Tullie Murrell, Aaron Defazio, Nafissa Yakubova, Leon Rybak, Gina A. Ciavarra, C. Lawrence Zitnick, Zhengnan Huang, Dana J Lin, Florian Knoll, Mitchell J Kline, Erin F. Alaia, Michael G. Rabbat, Ruben Stern, Anuroop Sriram, Michael P. Recht, Yvonne W. Lui, Patricia M. Johnson, Daniel K. Sodickson
Publikováno v:
AJR Am J Roentgenol
OBJECTIVE: Deep learning (DL) image reconstruction has the potential to disrupt the current state of MRI by significantly decreasing the time required for MRI examinations. Our goal was to use DL to accelerate MRI to allow a 5-minute comprehensive ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc9fad9586ea435b5fe7176fc5aa6c8
https://doi.org/10.2214/ajr.20.23313
https://doi.org/10.2214/ajr.20.23313
Autor:
Richard Tran, Janice Lan, Muhammed Shuaibi, Brandon M. Wood, Siddharth Goyal, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram, Félix Therrien, Jehad Abed, Oleksandr Voznyy, Edward H. Sargent, Zachary Ulissi, C. Lawrence Zitnick
The development of machine learning models for electrocatalysts requires a broad set of training data to enable their use across a wide variety of materials. One class of materials that currently lacks sufficient training data is oxides, which are cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d071f29a5d51a9516c9a6213f3abc17
Autor:
Vineel Pratap, Michael Auli, Ann B. Lee, Tatiana Likhomanenko, Gabriel Synnaeve, Alexei Baevski, Ronan Collobert, Anuroop Sriram, Qiantong Xu, Jacob Kahn, Wei-Ning Hsu
Publikováno v:
Interspeech 2021.
Self-supervised learning of speech representations has been a very active research area but most work is focused on a single domain such as read audio books for which there exist large quantities of labeled and unlabeled data. In this paper, we explo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c73d193fc72ccadb64227828a5d482e
https://doi.org/10.21437/interspeech.2021-236
https://doi.org/10.21437/interspeech.2021-236
Autor:
Anuroop, Sriram, Matthew, Muckley, Koustuv, Sinha, Farah, Shamout, Joelle, Pineau, Krzysztof J, Geras, Lea, Azour, Yindalon, Aphinyanaphongs, Nafissa, Yakubova, William, Moore
Publikováno v:
ArXiv
The rapid spread of COVID-19 cases in recent months has strained hospital resources, making rapid and accurate triage of patients presenting to emergency departments a necessity. Machine learning techniques using clinical data such as chest X-rays ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e2d2fdd75121b0ed61ede3743169f853
https://pubmed.ncbi.nlm.nih.gov/33469559
https://pubmed.ncbi.nlm.nih.gov/33469559
Autor:
Yohan Jun, Simon Arberet, Jean-Luc Starck, Dominik Nickel, Alireza Radmanesh, Yvonne W. Lui, Sunwoo Kim, Matthew J. Muckley, Mahmoud Mostapha, Jonas Teuwen, Zhengnan Huang, Nafissa Yakubova, Dosik Hwang, Geunu Jeong, Zaccharie Ramzi, Florian Knoll, Anuroop Sriram, Philippe Ciuciu, Chaoping Zhang, Bruno Riemenschneider, Hyungseob Shin, Jingyu Ko, Dimitrios Karkalousos
Publikováno v:
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TMI.2021.3075856⟩
IEEE transactions on medical imaging
IEEE Transactions on Medical Imaging, In press, ⟨10.1109/TMI.2021.3075856⟩
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TMI.2021.3075856⟩
IEEE transactions on medical imaging
IEEE Transactions on Medical Imaging, In press, ⟨10.1109/TMI.2021.3075856⟩
Accelerating MRI scans is one of the principal outstanding problems in the MRI research community. Towards this goal, we hosted the second fastMRI competition targeted towards reconstructing MR images with subsampled k-space data. We provided partici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ada6cd85033aac2da6c4388d81c59f5a
https://hal.archives-ouvertes.fr/hal-03066150v2/document
https://hal.archives-ouvertes.fr/hal-03066150v2/document
Publikováno v:
INTERSPEECH
This paper introduces Multilingual LibriSpeech (MLS) dataset, a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages, including about 44.5K hours of English and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebaf45fb0100a82cbf867b91e4edc751
https://doi.org/10.21437/interspeech.2020-2826
https://doi.org/10.21437/interspeech.2020-2826
Autor:
Brandon Wood, Lowik Chanussot, Weihua Hu, Zachary W. Ulissi, Muhammed Shuaibi, Siddharth Goyal, Devi Parikh, Morgane Riviere, Thibaut Lavril, Anuroop Sriram, C. Lawrence Zitnick, Kevin Tran, Aini Palizhati, Javier Heras-Domingo, Junwoong Yoon, Caleb Ho, Abhishek Das
Catalyst discovery and optimization is key to solving many societal and energy challenges including solar fuels synthesis, long-term energy storage, and renewable fertilizer production. Despite considerable effort by the catalysis community to apply
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea5ff843439f29f4796da51e2972b109
http://arxiv.org/abs/2010.09990
http://arxiv.org/abs/2010.09990