Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Debapriya Sengupta"'
Autor:
Jason Tien, Dmitri Leonoudakis, Ralitsa Petrova, Vivian Trinh, Tetsuya Taura, Debapriya Sengupta, Lisa Jo, Angela Sho, Yong Yun, Eric Doan, Anita Jamin, Hussein Hallak, David S. Wilson, Jennifer R. Stratton
Publikováno v:
mAbs, Vol 15, Iss 1 (2023)
ABSTRACTThe blood-brain barrier (BBB) largely excludes antibodies from entering the central nervous system, thus limiting the potential of therapeutic antibodies to treat conditions such as neurodegenerative diseases and neuro-psychiatric disorders.
Externí odkaz:
https://doaj.org/article/cdaf2256be904993bfc4da5093e8c198
Publikováno v:
Neurocomputing. 486:174-188
The process of aligning one image, in the coordinate system of another is called registration. Image registration is vital in the medical domain and is used for diagnosis, therapy planning, and treatment of diseases. Due to its huge applicability and
Publikováno v:
Multimedia Tools and Applications. 80:3835-3862
Image enhancement remains an intricate problem, crucial for image analysis. Several algorithms exist for the same. A few among these algorithms categorize images into different classes based on their statistical parameters and apply separate enhancem
Risk-Based Screening Mammography for Women Aged <40: Outcomes From the National Mammography Database
Autor:
Etta D. Pisano, Margarita L. Zuley, Debapriya Sengupta, Heidi Ashih, Edward A. Sickles, Cindy Lee
Publikováno v:
Journal of the American College of Radiology. 17:368-376
Objective There is insufficient large-scale evidence for screening mammography in women Methods This retrospective, HIPAA-compliant, institutional review board–exempt study analyzed data from 150 NMD mammography facilities in 31 states. Patients we
Autor:
Debapriya Sengupta, Samuel L. Brady, Jennifer R. Marin, Keith J. Strauss, Elanchezhian Somasundaram
Publikováno v:
Radiology. 291:158-167
Background The American College of Radiology Dose Index Registry for CT enables evaluation of radiation dose as a function of patient characteristics and examination type. The hypothesis of this study was that academic pediatric CT facilities have op
Autor:
Samuel L. Brady, Murray Becker, Keith J. Strauss, Max P. Rosen, Subcommittee on Appropriateness Criteria Radiation Exposure, Dianna D. Cody, Debapriya Sengupta, David W. Jordan, Mary Ann Keenan
Publikováno v:
Journal of the American College of Radiology. 16:236-239
The ACR Dose Index Registry (DIR) provides a new source of clinical radiation exposure data that has not been used previously to establish or update the relative radiation level (RRL) values in the ACR Appropriateness Criteria (AC). The results of a
Publikováno v:
Intelligent Computing Theories and Application ISBN: 9783030607982
ICIC (1)
ICIC (1)
This paper proposes an efficient method to compute entropy and joint entropy of images. Entropy of images is used to determine its quality. It is defined as the randomness or uncertainty present in the image. Similarly, joint entropy is a measure of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e678fb0c94fe9a6c7d5a49f7a2e26d6
https://doi.org/10.1007/978-3-030-60799-9_24
https://doi.org/10.1007/978-3-030-60799-9_24
Autor:
Kassa Darge, Debapriya Sengupta, Marilyn J. Goske, Mythreyi Bhargavan-Chatfield, Huimin Wu, Sjirk J. Westra, Jeffrey S. Prince, Alexander J. Towbin, Michael J. Callahan, Daniel J. Podberesky, Donald P. Frush, Keith J. Strauss, Charles M. Maxfield
Publikováno v:
Radiology. 284:219-227
Purpose To determine diagnostic reference ranges on the basis of the size of a pediatric patient's chest and to develop a method to estimate computed tomographic (CT) scanner-specific mean size-specific dose estimates (SSDEs) as a function of patient
Autor:
Elizabeth S. Burnside, Jessica W.T. Leung, Margarita L. Zuley, Debapriya Sengupta, Cindy Lee, Wendie A. Berg, David Gur, Robert M. Nishikawa, Robert D. Rosenberg, Edward A. Sickles, Jennifer A. Harvey
Publikováno v:
Journal of the American College of Radiology : JACR, vol 16, iss 1
Purpose The National Mammography Database (NMD) contains nearly 20 million examinations from 693 facilities; it is the largest information source for use and effectiveness of breast imaging in the United States. NMD collects demographic, imaging, int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::823d91db99c79fe09e59fe72ac35d743
https://escholarship.org/uc/item/3bf1f68t
https://escholarship.org/uc/item/3bf1f68t
Publikováno v:
Multimedia Tools and Applications. 80:6507-6507
Figure 16 in the original publication was incomplete. The original article has been corrected.