Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Raju, Balasundar"'
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 144-161).
High frequency (>20 MHz) ultrasound has numerous potential applications in
Includes bibliographical references (p. 144-161).
High frequency (>20 MHz) ultrasound has numerous potential applications in
Externí odkaz:
http://hdl.handle.net/1721.1/29232
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.
Includes bibliographical references (p. 100-104).
by Balasundara I. Raju.
M.S.
Includes bibliographical references (p. 100-104).
by Balasundara I. Raju.
M.S.
Externí odkaz:
http://hdl.handle.net/1721.1/50406
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
Includes bibliographical references (p. 66-71).
by Balasundara I. Raju.
M.S.
Includes bibliographical references (p. 66-71).
by Balasundara I. Raju.
M.S.
Externí odkaz:
http://hdl.handle.net/1721.1/50355
Autor:
Chen, Li, Rubin, Jonathan, Ouyang, Jiahong, Balaraju, Naveen, Patil, Shubham, Mehanian, Courosh, Kulhare, Sourabh, Millin, Rachel, Gregory, Kenton W, Gregory, Cynthia R, Zhu, Meihua, Kessler, David O, Malia, Laurie, Dessie, Almaz, Rabiner, Joni, Coneybeare, Di, Shopsin, Bo, Hersh, Andrew, Madar, Cristian, Shupp, Jeffrey, Johnson, Laura S, Avila, Jacob, Dwyer, Kristin, Weimersheimer, Peter, Raju, Balasundar, Kruecker, Jochen, Chen, Alvin
Self-supervised learning (SSL) methods have shown promise for medical imaging applications by learning meaningful visual representations, even when the amount of labeled data is limited. Here, we extend state-of-the-art contrastive learning SSL metho
Externí odkaz:
http://arxiv.org/abs/2310.10689
Autor:
Ouyang, Jiahong, Chen, Li, Li, Gary Y., Balaraju, Naveen, Patil, Shubham, Mehanian, Courosh, Kulhare, Sourabh, Millin, Rachel, Gregory, Kenton W., Gregory, Cynthia R., Zhu, Meihua, Kessler, David O., Malia, Laurie, Dessie, Almaz, Rabiner, Joni, Coneybeare, Di, Shopsin, Bo, Hersh, Andrew, Madar, Cristian, Shupp, Jeffrey, Johnson, Laura S., Avila, Jacob, Dwyer, Kristin, Weimersheimer, Peter, Raju, Balasundar, Kruecker, Jochen, Chen, Alvin
Frame-by-frame annotation of bounding boxes by clinical experts is often required to train fully supervised object detection models on medical video data. We propose a method for improving object detection in medical videos through weak supervision f
Externí odkaz:
http://arxiv.org/abs/2308.04463
Autor:
Baloescu, Cristiana, Chen, Alvin, Schnittke, Nikolai, Hicks, Bryson, Zhu, Meihua, Kaili, Matt, Shupp, Jeffrey, Chan, Daniela K.I., Malia, Laurie, Coneybeare, Di, Gregory, Kenton, Kessler, David, Raju, Balasundar, Moore, Christopher L.
Publikováno v:
In WFUMB Ultrasound Open December 2023 1(2)
Autor:
Baloescu, Cristiana, Rucki, Agnieszka A., Chen, Alvin, Zahiri, Mohsen, Ghoshal, Goutam, Wang, Jing, Chew, Rita, Kessler, David, Chan, Daniela K.I., Hicks, Bryson, Schnittke, Nikolai, Shupp, Jeffrey, Gregory, Kenton, Raju, Balasundar, Moore, Christopher
Publikováno v:
In Ultrasound in Medicine & Biology September 2023 49(9):2095-2102
Autor:
Baloescu, Cristiana, Chen, Alvin, Varasteh, Alexander, Hall, Jane, Toporek, Grzegorz, Patil, Shubham, McNamara, Robert L., Raju, Balasundar, Moore, Christopher L.
Publikováno v:
Ultrasound Journal; 9/16/2024, Vol. 16 Issue 1, p1-9, 9p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.