Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Christopher Kanan"'
Autor:
Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf Emre Erdi, Christopher Kanan
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Artificial intelligence (AI) has been successful at solving numerous problems in machine perception. In radiology, AI systems are rapidly evolving and show progress in guiding treatment decisions, diagnosing, localizing disease on medical images, and
Externí odkaz:
https://doaj.org/article/baf224d0fae948749302b4de401483c9
Autor:
Usman Mahmood, David D. B. Bates, Yusuf E. Erdi, Lorenzo Mannelli, Giuseppe Corrias, Christopher Kanan
Publikováno v:
Diagnostics, Vol 12, Iss 3, p 672 (2022)
We map single energy CT (SECT) scans to synthetic dual-energy CT (synth-DECT) material density iodine (MDI) scans using deep learning (DL) and demonstrate their value for liver segmentation. A 2D pix2pix (P2P) network was trained on 100 abdominal DEC
Externí odkaz:
https://doaj.org/article/69428b1b37b247bbab186b99e98a5ec8
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0238302 (2020)
Supervised classification methods often assume the train and test data distributions are the same and that all classes in the test set are present in the training set. However, deployed classifiers often require the ability to recognize inputs from o
Externí odkaz:
https://doaj.org/article/fa4dec258c664f548d3bd6a3dde1e688
Publikováno v:
Frontiers in Artificial Intelligence, Vol 2 (2019)
Language grounded image understanding tasks have often been proposed as a method for evaluating progress in artificial intelligence. Ideally, these tasks should test a plethora of capabilities that integrate computer vision, reasoning, and natural la
Externí odkaz:
https://doaj.org/article/2cc1c122e7eb4290bd28b3052b916b66
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205341 (2018)
Adult aging is associated with difficulties in recognizing negative facial expressions such as fear and anger. However, happiness and disgust recognition is generally found to be less affected. Eye-tracking studies indicate that the diagnostic featur
Externí odkaz:
https://doaj.org/article/ee9285b618b84aceaff443989c447847
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1133 (2017)
Image data from space-borne thermal infrared (IR) sensors are used for a variety of applications, however they are often limited by their temporal resolution (i.e., repeat coverage). To potentially increase the temporal availability of thermal image
Externí odkaz:
https://doaj.org/article/85c041bbab834797ab88fd6ba7b1b37c
Autor:
Christopher Kanan
Publikováno v:
PLoS ONE, Vol 8, Iss 1, p e54088 (2013)
Mammals rely on vision, audition, and olfaction to remotely sense stimuli in their environment. Determining how the mammalian brain uses this sensory information to recognize objects has been one of the major goals of psychology and neuroscience. Lik
Externí odkaz:
https://doaj.org/article/819653ae0ed441c195b1d1ee626cb326
Autor:
Christopher Kanan, Garrison W Cottrell
Publikováno v:
PLoS ONE, Vol 7, Iss 1, p e29740 (2012)
In image recognition it is often assumed the method used to convert color images to grayscale has little impact on recognition performance. We compare thirteen different grayscale algorithms with four types of image descriptors and demonstrate that t
Externí odkaz:
https://doaj.org/article/851cf403af584fd7ab68feb15a8f3692
Autor:
Patricia, Raciti, Jillian, Sue, Juan A, Retamero, Rodrigo, Ceballos, Ran, Godrich, Jeremy D, Kunz, Adam, Casson, Dilip, Thiagarajan, Zahra, Ebrahimzadeh, Julian, Viret, Donghun, Lee, Peter J, Schüffler, George, DeMuth, Emre, Gulturk, Christopher, Kanan, Brandon, Rothrock, Jorge, Reis-Filho, David S, Klimstra, Victor, Reuter, Thomas J, Fuchs
Publikováno v:
Archives of Pathology & Laboratory Medicine.
Context.— Prostate cancer diagnosis rests on accurate assessment of tissue by a pathologist. The application of artificial intelligence (AI) to digitized whole slide images (WSIs) can aid pathologists in cancer diagnosis, but robust, diverse eviden
Autor:
Terrence J. Sejnowski, Tyler L. Hayes, Hava T. Siegelmann, Christopher Kanan, Maxim Bazhenov, Giri P. Krishnan
Publikováno v:
Neural Comput
Replay is the reactivation of one or more neural patterns, which are similar to the activation patterns experienced during past waking experiences. Replay was first observed in biological neural networks during sleep, and it is now thought to play a