Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Eric, Rohren"'
Publikováno v:
Journal of Medical Radiation Sciences, Vol 70, Iss S2, Pp 77-88 (2023)
Abstract Conventional radiomics in nuclear medicine involve hand‐crafted and computer‐assisted regions of interest. Recent developments in artificial intelligence (AI) have seen the emergence of AI‐augmented segmentation and extraction of lower
Externí odkaz:
https://doaj.org/article/0d0ba24fa6b74c58a9c830fae2341741
Publikováno v:
Journal of Medical Radiation Sciences. 70:77-88
Conventional radiomics in nuclear medicine involve hand-crafted and computer-assisted regions of interest. Recent developments in artificial intelligence (AI) have seen the emergence of AI-augmented segmentation and extraction of lower order traditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17517000cd9258fc95b9e4b47f4fd826
https://doi.org/10.1002/jmrs.626
https://doi.org/10.1002/jmrs.626
Autor:
Geoffrey Currie, Eric Rohren
Publikováno v:
Seminars in Nuclear Medicine. 52:498-503
Social and health care equity and justice should be prioritized by the mantra of medicine, first do no harm. Despite highly motivated national and global health strategies, there remains significant health care inequity. Intrinsic and extrinsic facto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5a63354b640059354c9c9bf0b67cf3d
https://doi.org/10.1053/j.semnuclmed.2021.11.011
https://doi.org/10.1053/j.semnuclmed.2021.11.011
Autor:
Rajshekhar Chakraborty, Rachael Sexton, Suzanne Lentzsch, Muneer H. Abidi, Peter M. Voorhees, Adam D Cohen, Eric Rohren, Stephen B. Heitner, Kevin R. Kelly, Niklas J Mackler, David M. Baer, Antje Hoering, Brian G.M. Durie, Sikander Ailawadhi, Robert Z. Orlowski
Publikováno v:
Blood. 140:4349-4351
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f465707f503f9dfb5e81ea3003f916c
https://doi.org/10.1182/blood-2022-166609
https://doi.org/10.1182/blood-2022-166609
Autor:
Eric Rohren, Homer Macapinlac, Eugenie Kleinerman, Gregory Ravizzini, Funda Meric-Bernstam, David S. Hong, Sant Chawla, Robert S. Benjamin, Joseph A. Ludwig, Neeta Somaiah, Najat C. Daw, Vinod Ravi, Winston W. Huh, Kenneth Hess, Kalevi Kairemo, Pete M. Anderson, Vivek Subbiah
Purpose:The prognosis of metastatic osteosarcoma continues to be poor. We hypothesized that alpha-emitting, bone-targeting radium 223 dichloride (223RaCl2) can be safely administered to patients with osteosarcoma and that early signals of response or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1477909917b008234b5d57157d85bed3
https://doi.org/10.1158/1078-0432.c.6528264.v1
https://doi.org/10.1158/1078-0432.c.6528264.v1
Autor:
Eric Rohren, Homer Macapinlac, Eugenie Kleinerman, Gregory Ravizzini, Funda Meric-Bernstam, David S. Hong, Sant Chawla, Robert S. Benjamin, Joseph A. Ludwig, Neeta Somaiah, Najat C. Daw, Vinod Ravi, Winston W. Huh, Kenneth Hess, Kalevi Kairemo, Pete M. Anderson, Vivek Subbiah
Supplementary file: Previous therapies, Overall survival S1 : Prior therapies of patients with osteosarcoma enrolled on the Radium 223 trial. Supplementary Table S2: Adverse events in patients with osteosarcoma enrolled on the Radium 223 trial. Suppl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89ecdfee1a6ce2c4fe89fc0211b59635
https://doi.org/10.1158/1078-0432.22472565.v1
https://doi.org/10.1158/1078-0432.22472565.v1
Autor:
Geoffrey Currie, Eric Rohren
Publikováno v:
Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging ISBN: 9783031001185
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89f2d4ca4d396b8817656d14ac26f551
https://doi.org/10.1007/978-3-031-00119-2_7
https://doi.org/10.1007/978-3-031-00119-2_7
Autor:
Geoff Currie, Eric Rohren
Publikováno v:
Veterinary radiologyultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology AssociationREFERENCES. 63
Artificial intelligence (AI) in radiology is transforming medical image analysis. While applications in triaging for priority reporting and radiomic feature analysis have been widely reported, perhaps the most important applications lie in noise redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::466f6b03b7fe38ea72adf650fda2c9bc
https://pubmed.ncbi.nlm.nih.gov/36514225
https://pubmed.ncbi.nlm.nih.gov/36514225
Autor:
Geoff Currie, Eric Rohren
Publikováno v:
Veterinary radiologyultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology AssociationREFERENCES. 63
Radiomics refers to the process of extracting useful imaging features from radiological data. Conventional radiomics like standard uptake value, intensity histograms, or phase images involve hand-crafted (manual) or automated regions of interest (com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11e5a79daa91179f6797fcba88851996
https://pubmed.ncbi.nlm.nih.gov/36468301
https://pubmed.ncbi.nlm.nih.gov/36468301
Autor:
Elba, Etchebehere, Ana Emília, Brito, Kalevi, Kairemo, Eric, Rohren, John, Araujo, Homer, Macapinlac
Publikováno v:
Radiologia Brasileira
Objective To determine whether an interim 18F-fluoride positron-emission tomography/computed tomography (PET/CT) study performed after the third cycle of radium-223 dichloride (223RaCl2) therapy is able to identify patients that will not respond to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::af12dff540d6c6161846b0057eee2e8a
https://pubmed.ncbi.nlm.nih.gov/30804613
https://pubmed.ncbi.nlm.nih.gov/30804613