Zobrazeno 1 - 10
of 256
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
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bef89a2b1ebe322ce186a7128fb3a86
https://doi.org/10.5858/arpa.2022-0066-oa
https://doi.org/10.5858/arpa.2022-0066-oa
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
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e0b02a9851000dc72a257d413faaf67
https://doi.org/10.1162/neco_a_01433
https://doi.org/10.1162/neco_a_01433
Autor:
Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
This paper presents an approach for detecting out-of-context (OOC) objects in images. Given an image with a set of objects, our goal is to determine if an object is inconsistent with the contextual relations and detect the OOC object with a bounding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c445f6cbab5b9b95794559bcacc4214c
https://doi.org/10.24963/ijcai.2022/89
https://doi.org/10.24963/ijcai.2022/89
Autor:
George DeMuth, Sarat Chandarlapaty, Belma Dogdas, Patricia Raciti, Victor E. Reuter, Julian Viret, Carlos Gil Ferreira, Rodrigo Ceballos, Bruno L. Ferrari, Ran Godrich, Jeremy D. Kunz, Jorge S. Reis-Filho, Leo Grady, Paulo G O Salles, Adam Casson, Leonard Da Silva, Emílio M. Pereira, Jillian Sue, Christopher Kanan, Brandon Rothrock, Thomas J. Fuchs
Publikováno v:
The Journal of Pathology
Artificial intelligence (AI)‐based systems applied to histopathology whole‐slide images have the potential to improve patient care through mitigation of challenges posed by diagnostic variability, histopathology caseload, and shortage of patholog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a21f2125732aa6254197edbf6d61024a
https://doi.org/10.1002/path.5662
https://doi.org/10.1002/path.5662
Autor:
Matthew G Hanna, Patricia Raciti, Alican Bozkurt, Ran Godrich, Julian Viret, Donghun Lee, Philippe Mathieu, Matthew Lee, Eugene Vorontsov, Tomer Sabo, Felipe C Geyer, Jorge S Reis-Filho, Leo Grady, Thomas Fuchs, Christopher Kanan
Publikováno v:
Cancer Research. 82:PD11-02
Background. The female mammary gland can develop a myriad of epithelial proliferative lesions including, high risk lesions, in-situ and invasive carcinomas. Identification of these pre-neoplastic and neoplastic conditions in biopsy specimens is cruci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6b676989502aef978f70afccb38dee6
https://doi.org/10.1158/1538-7445.sabcs21-pd11-02
https://doi.org/10.1158/1538-7445.sabcs21-pd11-02