medical imaging

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1
COMP Report: A survey of radiation safety regulations for medical imaging x-ray equipment in Canada.
Bjarnason, Thorarin A;Rees, Robert;Kainz, Judy;Le, Lawrence H;Stewart, Errol E;Preston, Brent;Elbakr...
2019 Journal of applied clinical medical physics DOI: 10.1002/acm2.12708 269 views
2
Procalcitonin and C-Reactive Protein As Markers of Bacteremia in Patients With Febrile Neutropenia Who Receive Chemotherapy for Acute Leukemia: A Prospective Study From Nepal.
Shilpakar, Ramila;Paudel, Bishnu Dutta;Neupane, Prakash;Shah, Aarati;Acharya, Bibek;Dulal, Soniya;Wo...
2019 journal of global oncology DOI: 10.1200/JGO.19.00147 282 views
3
Artificial Intelligence and the Medical Radiation Profession: How Our Advocacy Must Inform Future Practice.
Murphy, Andrew;Liszewski, Brian;
2019 journal of medical imaging and radiation sciences DOI: S1939-8654(19)30500-... 361 views
4
Deep Learning in Medical Image Analysis.
Chan, Heang-Ping;Samala, Ravi K;Hadjiiski, Lubomir M;Zhou, Chuan;
2020 advances in experimental medicine and biology DOI: 10.1007/978-3-030-33... 245 views
5
reconstruction of conductivity change in lung lobes utilizing electrical impedance tomography
;Schullcke Benjamin;Gong Bo;Krueger-Ziolek Sabine;Moeller Knut
2017 materials science and engineering c DOI: 10.1515/cdbme-2017-0... 142 views
6
Exploring undergraduate medical imaging students' perception of clinical stressors in Ghana.
Abdul Razak, W; Asamoah, A S
2025 radiography (london, england : 1995) DOI: 10.1016/j.radi.2025.... 13 views

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diagnostic radiology occupational dose radiation safety shielding artificial intelligence radiation therapy radiology precision medicine Deep learning Machine learning Transfer learning validation big data quality assurance computer-aided diagnosis interpretable ai electrical impedance tomography students burn out clinical stressors