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Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Polyp miss rate determined by tandem colonoscopy: A systematic review
JC van Rijn et al.
AMERICAN JOURNAL OF GASTROENTEROLOGY (2006)
A meta-analysis of the yield of capsule endoscopy compared to other diagnostic modalities in patients with obscure gastrointestinal bleeding
SL Triester et al.
AMERICAN JOURNAL OF GASTROENTEROLOGY (2005)
New-onset diabetes after transplantation:: 2003 International Consensus Guidelines
J Davidson et al.
TRANSPLANTATION (2003)
Head and neck cancer arising after endoscopic mucosal resection for squamous cell carcinoma of the esophagus
Y Shimizu et al.
ENDOSCOPY (2003)
Helicobacter pylori infection and the development of gastric cancer.
N Uemura et al.
NEW ENGLAND JOURNAL OF MEDICINE (2001)