Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sushma Gaddam"'
Autor:
Kristine Pysarenko, Pablo Gómez del Campo, Daniel Khapun, Alana A. Lewin, Linda Moy, Jungkyu Park, Yoel Shoshan, Sindhoora Murthy, Julia E. Goldberg, Robert Martí, Ella Barkan, Linda Du, Jakub Chłędowski, Ujas Parikh, Anastasia Plaunova, Krzysztof J. Geras, Sardius Chen, Alexandra Millet, Laura Heacock, Sushma Gaddam, Melanie Wegener, Eric H. Kim, Vadim Ratner, Beatriu Reig, Shalin Patel, Sana Hava, Jan Witowski, Stacey Wolfson, Michal Rosen-Zvi, Aviad Zlotnick, Jiyon Lee, Flora Gilboa-Solomon
Publikováno v:
Nature Machine Intelligence. 3:735-736
A new international competition aims to speed up the development of AI models that can assist radiologists in detecting suspicious lesions from hundreds of millions of pixels in 3D mammograms. The top three winning teams compare notes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3db01a6dfb3f257c150bf6969fb0e791
https://doi.org/10.1038/s42256-021-00378-z
https://doi.org/10.1038/s42256-021-00378-z
Publikováno v:
Clinical breast cancer. 21(1)
Purpose Emerging data suggest screening mammography may be effective in detecting breast cancer early in high risk men. The purpose of this study is to evaluate current screening recommendations as a risk management strategy in men at elevated risk f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8004429acc4e0f3a04c6abcf1133aa2c
https://pubmed.ncbi.nlm.nih.gov/32828665
https://pubmed.ncbi.nlm.nih.gov/32828665
Autor:
James S. Babb, William R. Walter, Joseph J. Sanger, Hien Pham, Christopher J. Burke, Fabio Ponzo, Sushma Gaddam
Publikováno v:
Skeletal Radiology. 47:1651-1660
To correlate patterns of 18F-FDG uptake on whole-body PET-CT with MR findings and compare the degree of FDG activity between symptomatic and asymptomatic knees. Retrospective database query was performed using codes for knee MRI as well as whole-body
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3adb97a7c1331759c7c45a9ffee3183c
https://doi.org/10.1007/s00256-018-3001-x
https://doi.org/10.1007/s00256-018-3001-x
Autor:
Vyshnavi, Kanupuru, Sinduja, Y., Adeyemi, Peter Gloria, Ebuka, Agunwa Daniel, Srija, Markanti, Sushma, Gaddam
Publikováno v:
Journal of Drug Delivery & Therapeutics; May/Jun2022, Vol. 12 Issue 3, p220-225, 6p
Autor:
Naziya Samreen, Beatriu Reig, Kara Ho, Kyunghyun Cho, Jungkyu Park, Laura Heacock, Zhe Huang, Sushma Gaddam, Eric Kim, Yiming Gao, Linda Moy, Joshua D. Weinstein, Jason Phang, Nan Wu, Jiyon Lee, Yiqiu Shen, Alana A. Lewin, Masha Zorin, Ujas Parikh, Krzysztof J. Geras, S. Gene Kim, Krystal Airola, Stacey Wolfson, Hildegard B. Toth, Stephanie H Chung, Joe Katsnelson, Thibault Févry, Eralda Mema, Leng Leng Young Lin, Kristine Pysarenko, Esther Hwang, Stanisław Jastrzębski
Publikováno v:
IEEE transactions on medical imaging
We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200,000 exams (over 1,000,000 images). Our network achieves an AUC of 0.895 in predicting whether there is a cancer in the b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53329e18a25d244b7312111ada30eecd
Autor:
Christopher J, Burke, William R, Walter, Sushma, Gaddam, Hien, Pham, James S, Babb, Joseph, Sanger, Fabio, Ponzo
Publikováno v:
Skeletal radiology. 47(12)
To correlate patterns ofRetrospective database query was performed using codes for knee MRI as well as whole-body PET-CT. Patients with malignant disease involving the knee or hardware were excluded. Patients who had both studies performed within 1 y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ed023ae554da77b9433feb868f24b540
https://pubmed.ncbi.nlm.nih.gov/29931417
https://pubmed.ncbi.nlm.nih.gov/29931417
Characteristics of the Most Recently Awarded Magnetic Resonance Imaging Patents in the United States
Publikováno v:
Current problems in diagnostic radiology. 47(5)
Purpose To characterize recent magnetic resonance imaging (MRI) technical development and innovation based on data regarding MRI-related patents awarded in 2016. Methods The US Patent and Trademark Office website was searched for patents awarded in 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8d0abda757899cb10aae41486689411
https://pubmed.ncbi.nlm.nih.gov/28843639
https://pubmed.ncbi.nlm.nih.gov/28843639