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Neural networks in radiologic diagnosis. II. Interpretation of neonatal chest radiographs.

• Authors : Gross GW; Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania 19107.; Boone JM

Subjects: Artificial Intelligence* ; Radiography, Thoracic*; Infant, Newborn, Diseases/Infant, Newborn, Diseases/Infant, Newborn, Diseases/*diagnostic imaging

• Source: Investigative radiology [Invest Radiol] 1990 Sep; Vol. 25 (9), pp. 1017-23.Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0045377 Publication Model: Print Cited Medium: Print ISSN:

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Cognitive Technology : In Search of a Humane Interface

• Authors : J.L. Mey; B. Gorayska

Subjects: Human engineering; Human-machine systems; Computer systemsCOMPUTERS / Human-Computer Interaction (HCI); COMPUTERS / Artificial Intelligence / General

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Knowledge discovery and data mining to assist natural language understanding.

• Authors : Wilcox A; Department of Medical Informatics, Columbia University, New York, NY, USA.; Hripcsak G

Subjects: Artificial Intelligence* ; Information Storage and Retrieval* ; Natural Language Processing*

• Source: Proceedings. AMIA Symposium [Proc AMIA Symp] 1998, pp. 835-9.Publisher: Hanley & Belfus Country of Publication: United States NLM ID: 100883449 Publication Model: Print Cited Medium: Print ISSN: 1531-605X

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Knowledge-based method for segmentation and analysis of lung boundaries in chest X-ray images.

• Authors : Brown MS; Department of Radiological Sciences, School of Medicine, University of California, Los Angeles, USA. ; Wilson LS

Subjects: Artificial Intelligence* ; Models, Anatomic*; Lung/Lung/Lung/*anatomy & histology

• Source: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 1998 Nov-Dec; Vol. 22 (6), pp. 463-77.Publisher: Elsevier Science Country of Publication: United States NLM ID: 8806104 Publication Model: Print Cited Medium: Print ISSN: 0895-6111

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Evaluation of a semantic data model for chest radiology: application of a new methodology.

• Authors : Rocha RA; Departamento de Cirurgia, Universidade Federal do Paraná, Curitiba PR, Brazil. ; Huff SM

Subjects: Artificial Intelligence* ; Radiography, Thoracic* ; Radiology Information Systems*

• Source: Methods of information in medicine [Methods Inf Med] 1998 Nov; Vol. 37 (4-5), pp. 477-90.Publisher: Thieme Country of Publication: Germany NLM ID: 0210453 Publication Model: Print Cited Medium: Print ISSN: 0026-1270 (Print) Linking

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Classification algorithms applied to narrative reports.

• Authors : Wilcox A; Department of Medical Informatics, Columbia University, New York, NY, USA.; Hripcsak G

Subjects: Algorithms* ; Artificial Intelligence* ; Natural Language Processing*

• Source: Proceedings. AMIA Symposium [Proc AMIA Symp] 1999, pp. 455-9.Publisher: Hanley & Belfus Country of Publication: United States NLM ID: 100883449 Publication Model: Print Cited Medium: Print ISSN: 1531-605X

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Envisioning Machine Translation in the Information Future : 4th Conference of the Association for Machine Translation in the Americas, AMTA 2000, Cuernavaca, Mexico, October 10-14, 2000 Proceedings

• Authors : John S. White

Subjects: Artificial intelligence; Translating and interpreting; Information storage and retrieval systemsCOMPUTERS / Artificial Intelligence / General; COMPUTERS / Computer Science; COMPUTERS / System Administration / Storage & Retrieval

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 : 6th International Conference, Montréal, Canada, November 15-18, 2003, Proceedings, Part I

• Authors : Randy E. Ellis; Terry M. Peters

Subjects: Radiology; Computer science; Computer visionMEDICAL / Radiology, Radiotherapy & Nuclear Medicine; COMPUTERS / Artificial Intelligence / General; COMPUTERS / Software Development & Engineering / Computer Graphics

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Modelling with Words : Learning, Fusion, and Reasoning Within a Formal Linguistic Representation Framework

• Authors : Jonathan Lawry; Jimi Shanahan; Anca Ralescu

Subjects: Artificial intelligence; Computer science; Machine theoryCOMPUTERS / Artificial Intelligence / General; COMPUTERS / Computer Science; COMPUTERS / Database Administration & Management

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The role of domain knowledge in automating medical text report classification.

• Authors : Wilcox AB; Department of Medical Informatics, University of Utah, Salt Lake City, USA. ; Hripcsak G

Subjects: Artificial Intelligence* ; Natural Language Processing*; Medical Records/Medical Records/Medical Records/*classification

• Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2003 Jul-Aug; Vol. 10 (4), pp. 330-8. Date of Electronic Publication: 2003 Mar 28.Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print-Electronic Cited Medium: Print ISSN:

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