Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Praveen, Gulaka"'
Autor:
Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-11 (2021)
Abstract More widespread use of positron emission tomography (PET) imaging is limited by its high cost and radiation dose. Reductions in PET scan time or radiotracer dosage typically degrade diagnostic image quality (DIQ). Deep-learning-based reconst
Externí odkaz:
https://doaj.org/article/e86ee2526a4f48489a765c32f2d6fa8a
Autor:
Lucia Baratto, Sonya Youngju Park, Negin Hatami, Praveen Gulaka, Shreyas Vasanawala, Thomas Koshy Yohannan, Robert Herfkens, Ronald Witteles, Andrei Iagaru
Publikováno v:
EJNMMI Research, Vol 8, Iss 1, Pp 1-7 (2018)
Abstract Background Florbetaben, a 18F-labeled stilbene derivative (Neuraceq®, formerly known as BAY-949172), is a diagnostic radiopharmaceutical developed to visualize β-amyloid plaques in the brain. Here, we report a pilot study evaluating patien
Externí odkaz:
https://doaj.org/article/0ba25c32dbbc40e891e80aae6b1c8bd4
Autor:
Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/694b64e18fc1473c8c71444dcdab9b6e
Autor:
Praveen Gulaka, Qian Zhao, Michael E. Moseley, Anne M. Muehe, Allison Pribnow, Akshay S. Chaudhari, Ashok J. Theruvath, Heike E. Daldrup-Link, Sheri L. Spunt, Ketan Yerneni, Ying Lu, Florian Siedek
Publikováno v:
Radiology: Artificial Intelligence. 3
Deep learning may enable a reduction in dose of fluorine 18 fluorodeoxyglucose in integrated PET/MRI scans of children and young adults with lymphoma for treatment response assessment without compr...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a46bc3ad612466f0250af3a6b5e8cdeb
https://doi.org/10.1148/ryai.2021200232
https://doi.org/10.1148/ryai.2021200232
Autor:
Erik Mittra, Tao Zhang, Enhao Gong, S. Srinivas, Praveen Gulaka, Greg Zaharchuk, Harsh Gandhi, Hossein Jadvar, Akshay S. Chaudhari, Guido Davidzon, Adam Brown
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 4, Iss 1, Pp 1-1 (2021)
npj Digital Medicine, Vol 4, Iss 1, Pp 1-1 (2021)
More widespread use of positron emission tomography (PET) imaging is limited by its high cost and radiation dose. Reductions in PET scan time or radiotracer dosage typically degrade diagnostic image quality (DIQ). Deep-learning-based reconstruction m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::652be6f0421b0b321d537657d3b5cc4d
http://europepmc.org/articles/PMC8440668
http://europepmc.org/articles/PMC8440668
Autor:
Praveen Gulaka, Harsh Gandhi, Erik Mittra, Hossein Jadvar, Enhao Gong, S. Srinivas, Akshay S. Chaudhari, Tao Zhang, Adam Brown, Greg Zaharchuk, Guido Davidzon
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 4, Iss 1, Pp 1-11 (2021)
npj Digital Medicine, Vol 4, Iss 1, Pp 1-11 (2021)
More widespread use of positron emission tomography (PET) imaging is limited by its high cost and radiation dose. Reductions in PET scan time or radiotracer dosage typically degrade diagnostic image quality (DIQ). Deep-learning-based reconstruction m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc7acbbe0e71d9fbbbb557402fdf40b8
https://doi.org/10.1038/s41746-021-00497-2
https://doi.org/10.1038/s41746-021-00497-2
Autor:
Ashok J, Theruvath, Florian, Siedek, Ketan, Yerneni, Anne M, Muehe, Sheri L, Spunt, Allison, Pribnow, Michael, Moseley, Ying, Lu, Qian, Zhao, Praveen, Gulaka, Akshay, Chaudhari, Heike E, Daldrup-Link
Publikováno v:
Radiol Artif Intell
PURPOSE: To investigate if a deep learning convolutional neural network (CNN) could enable low-dose fluorine 18 ((18)F) fluorodeoxyglucose (FDG) PET/MRI for correct treatment response assessment of children and young adults with lymphoma. MATERIALS A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2355ddb8ad3250716b396f434afc93c4
https://pubmed.ncbi.nlm.nih.gov/34870211
https://pubmed.ncbi.nlm.nih.gov/34870211
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Tissue oximetry can assist in diagnosis and prognosis of many diseases and enable personalized therapy. Previously, we reported the ability of hexamethyldisiloxane (HMDSO) for accurate measurements of tissue oxygen tension (pO2) using Proton Imaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8c189d22b461b61c8fc9325dfbbb6ba
http://europepmc.org/articles/PMC6989524
http://europepmc.org/articles/PMC6989524
Autor:
Kristen A. Wangerin, Praveen Gulaka, Lucia Baratto, Andrei Iagaru, Thomas A. Hope, Mohammad Mehdi Khalighi, Timothy Deller
Publikováno v:
American Journal of Roentgenology. 211:655-660
OBJECTIVE. Gallium-68-labeled radiopharmaceuticals pose a challenge for scatter estimation because their targeted nature can produce high contrast in these regions of the kidneys and bladder. Even ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fad966315f316f865b3bebf98376c7e
https://doi.org/10.2214/ajr.17.19356
https://doi.org/10.2214/ajr.17.19356
Autor:
Praveen Gulaka, Sandip Biswal, Trine Hjørnevik, Bin Shen, Harsh Gandhi, Jun Hyung Park, Daehyun Yoon, Christopher R. McCurdy, Dawn Holley, Erik Mittra, Greg Zaharchuk, Sanjiv S. Gambhir, Frederick T. Chin, Peter Cipriano
Publikováno v:
Journal of Nuclear Medicine. 58:2004-2009
The purpose of this study was to assess safety, biodistribution, and radiation dosimetry in humans for the highly selective σ-1 receptor PET agent 18F-6-(3-fluoropropyl)-3-(2-(azepan-1-yl)ethyl)benzo[d]thiazol-2(3H)-one (18F-FTC-146). Methods: Ten h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::458c1e740dcc7c401fb88052530ce96d
https://doi.org/10.2967/jnumed.117.192641
https://doi.org/10.2967/jnumed.117.192641