Zobrazeno 1 - 10 of 15 pro vyhledávání: '"Evan Porter"'
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Akademický článek
LSPR Biosensing Approach for the Detection of Microtubule Nucleation
Autor: Keisuke Hasegawa, Otabek Nazarov, Evan Porter
Publikováno v: Sensors, Vol 19, Iss 6, p 1436 (2019)
Microtubules are dynamic protein filaments that are involved in a number of cellular processes. Here, we report the development of a novel localized surface plasmon resonance (LSPR) biosensing approach for investigating one aspect of microtubule dyna
Externí odkaz: https://doaj.org/article/7ec4bd31de1147dc899897b7fda307ab
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2
Hippocampus segmentation on noncontrast CT using deep learning
Autor: Patricia Fuentes, Zaid A. Siddiqui, Andrew B. Thompson, T.M. Guerrero, Evan Porter, Nicholas Myziuk, David Solis, R. Levitin
Publikováno v: Medical Physics. 47:2950-2961
Purpose Accurate segmentation of the hippocampus for hippocampal avoidance whole-brain radiotherapy currently requires high-resolution magnetic resonance imaging (MRI) in addition to neuroanatomic expertise for manual segmentation. Removing the need
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fc2837c0452c5d9542541a09f2295a8
https://doi.org/10.1002/mp.14098
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3
Effect of Loss Functions in Deep Learning-Based Segmentation
Autor: David Solis, Leonid Zamdborg, Thomas Guerrero, Zaid A. Siddiqui, Payton Bruckmeier, Evan Porter
Loss functions are a crucial component of training a deep learning model. They quantify the degree to which the trained model solves its appointed task. Based upon this quantification of model performance, features within the model are modified durin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ecad079a9548f063f414fc6eaf2b5f39
https://doi.org/10.1201/9780429323782-12
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4
Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning
Autor: Thomas J. Quinn, Duyen M Quach, Evan Porter, Daniela Lozano, Nicholas Myziuk, Avery B Peterson, Zaid A. Siddiqui, T.M. Guerrero
Publikováno v: Physics in medicine and biology. 66(17)
Purpose.To develop and evaluate the performance of a deep learning model to generate synthetic pulmonary perfusion images from clinical 4DCT images for patients undergoing radiotherapy for lung cancer.Methods. A clinical data set of 58 pre- and post-
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::516af3f088478043197da59c32039eaa
https://pubmed.ncbi.nlm.nih.gov/34293726
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5
Justice is (change) blind: Applying research on visual metacognition in legal settings
Autor: Christopher Brett Jaeger, Evan Porter, Daniel T. Levin
Publikováno v: Psychology, Public Policy, and Law. 23:259-279
Research demonstrates that people overestimate their ability to detect visual stimuli in a variety of contexts. These errors in visual metacognition have legal implications, as they may cause decision makers to misweigh evidence and misallocate respo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c1620e01ed3cc290e1baac7a2daf49b5
https://doi.org/10.1037/law0000107
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8
LSPR Biosensing Approach for the Detection of Microtubule Nucleation
Autor: Evan Porter, Keisuke Hasegawa, Otabek Nazarov
Publikováno v: Sensors, Vol 19, Iss 6, p 1436 (2019)
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 6
Microtubules are dynamic protein filaments that are involved in a number of cellular processes. Here, we report the development of a novel localized surface plasmon resonance (LSPR) biosensing approach for investigating one aspect of microtubule dyna
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30dc36b30a1601bfbce0e5504f9dc366
https://www.mdpi.com/1424-8220/19/6/1436
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