Literature DB >> 32267215

Fellow in a Box: Combining AI and Domain Knowledge with Bayesian Networks for Differential Diagnosis in Neuroimaging.

Greg Zaharchuk1.   

Abstract

Mesh:

Year:  2020        PMID: 32267215      PMCID: PMC7263281          DOI: 10.1148/radiol.2020200819

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


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  7 in total

1.  A Bayesian network for diagnosis of primary bone tumors.

Authors:  C E Kahn; J J Laur; G F Carrera
Journal:  J Digit Imaging       Date:  2001-06       Impact factor: 4.056

Review 2.  Bayesian networks: computer-assisted diagnosis support in radiology.

Authors:  Elizabeth S Burnside
Journal:  Acad Radiol       Date:  2005-04       Impact factor: 3.173

3.  Construction of a Bayesian network for mammographic diagnosis of breast cancer.

Authors:  C E Kahn; L M Roberts; K A Shaffer; P Haddawy
Journal:  Comput Biol Med       Date:  1997-01       Impact factor: 4.589

4.  Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI.

Authors:  Andreas M Rauschecker; Jeffrey D Rudie; Long Xie; Jiancong Wang; Michael Tran Duong; Emmanuel J Botzolakis; Asha M Kovalovich; John Egan; Tessa C Cook; R Nick Bryan; Ilya M Nasrallah; Suyash Mohan; James C Gee
Journal:  Radiology       Date:  2020-04-07       Impact factor: 11.105

5.  Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.

Authors:  Sergio Pereira; Adriano Pinto; Victor Alves; Carlos A Silva
Journal:  IEEE Trans Med Imaging       Date:  2016-03-04       Impact factor: 10.048

6.  Automated Segmentation of Hyperintense Regions in FLAIR MRI Using Deep Learning.

Authors:  Panagiotis Korfiatis; Timothy L Kline; Bradley J Erickson
Journal:  Tomography       Date:  2016-12

Review 7.  The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Authors:  Bjoern H Menze; Andras Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth Gerstner; Marc-André Weber; Tal Arbel; Brian B Avants; Nicholas Ayache; Patricia Buendia; D Louis Collins; Nicolas Cordier; Jason J Corso; Antonio Criminisi; Tilak Das; Hervé Delingette; Çağatay Demiralp; Christopher R Durst; Michel Dojat; Senan Doyle; Joana Festa; Florence Forbes; Ezequiel Geremia; Ben Glocker; Polina Golland; Xiaotao Guo; Andac Hamamci; Khan M Iftekharuddin; Raj Jena; Nigel M John; Ender Konukoglu; Danial Lashkari; José Antonió Mariz; Raphael Meier; Sérgio Pereira; Doina Precup; Stephen J Price; Tammy Riklin Raviv; Syed M S Reza; Michael Ryan; Duygu Sarikaya; Lawrence Schwartz; Hoo-Chang Shin; Jamie Shotton; Carlos A Silva; Nuno Sousa; Nagesh K Subbanna; Gabor Szekely; Thomas J Taylor; Owen M Thomas; Nicholas J Tustison; Gozde Unal; Flor Vasseur; Max Wintermark; Dong Hye Ye; Liang Zhao; Binsheng Zhao; Darko Zikic; Marcel Prastawa; Mauricio Reyes; Koen Van Leemput
Journal:  IEEE Trans Med Imaging       Date:  2014-12-04       Impact factor: 10.048

  7 in total
  1 in total

Review 1.  Applying artificial intelligence for cancer immunotherapy.

Authors:  Zhijie Xu; Xiang Wang; Shuangshuang Zeng; Xinxin Ren; Yuanliang Yan; Zhicheng Gong
Journal:  Acta Pharm Sin B       Date:  2021-02-11       Impact factor: 11.413

  1 in total

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