Kazuharu Aoyama
Tokyo, Japan
Last Updated: 09/26/2026
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Found 18 publications
Gastrointestinal: Rare malignant biliary stricture with rapid progression.
Journal: Journal of gastroenterology and hepatology
Published: September 14, 2021
Application of Convolutional Neural Networks for Detection of Superficial Nonampullary Duodenal Epithelial Tumors in Esophagogastroduodenoscopic Images.
Journal: Clinical and translational gastroenterology
Published: May 01, 2020
Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinoma.
Journal: Journal of gastroenterology and hepatology
Published: March 24, 2020
Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network.
Journal: Gastrointestinal endoscopy
Published: October 31, 2019
Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.
Journal: Esophagus : official journal of the Japan Esophageal Society
Published: September 18, 2019
Stratification of gastric cancer risk using a deep neural network.
Journal: JGH open : an open access journal of gastroenterology and hepatology
Published: September 17, 2019
Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.
Journal: Digestive diseases and sciences
Published: August 14, 2019
Clinical usefulness of a deep learning-based system as the first screening on small-bowel capsule endoscopy reading.
Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Published: July 18, 2019
Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.
Journal: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Published: June 14, 2019
Endoscopic detection and differentiation of esophageal lesions using a deep neural network.
Journal: Gastrointestinal endoscopy
Published: April 11, 2019
Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images.
Journal: Scandinavian journal of gastroenterology
Published: March 19, 2019
Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists.
Journal: Gastrointestinal endoscopy
Published: March 01, 2019
Last Updated: 09/26/2026