Guido Hafer
Osnabrueck, NI, Germany
Last Updated: 09/26/2026
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Found 8 publications
Machine learning model to classify chronic leg wounds and identify pyoderma gangrenosum.
Journal: BMJ health & care informatics
Published: December 17, 2024
Can Synthetic Images Improve CNN Performance in Wound Image Classification?
Journal: Studies in health technology and informatics
Published: May 19, 2023
Automatic Wound Type Classification with Convolutional Neural Networks.
Journal: Studies in health technology and informatics
Published: July 01, 2022
An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers.
Journal: Studies in health technology and informatics
Published: May 25, 2022
Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration.
Journal: Studies in health technology and informatics
Published: January 22, 2022
Development and Evaluation of a Bayesian Risk Stratification Method for Major Amputations in Patients with Diabetic Foot Ulcers.
Journal: Studies in health technology and informatics
Published: January 22, 2022
Predicting the amputation risk for patients with diabetic foot ulceration - a Bayesian decision support tool.
Journal: BMC medical informatics and decision making
Published: March 27, 2020
Showing 1-8 of 8
Last Updated: 09/26/2026