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Development and Evaluation of a Bayesian Risk Stratification Method for Major Amputations in Patients with Diabetic Foot Ulcers.

, , , , , and . ICIMTH, volume 289 of Studies in Health Technology and Informatics, page 212-215. IOS Press, (2021)

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Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration., , , , , , , , and . ICIMTH, volume 289 of Studies in Health Technology and Informatics, page 301-304. IOS Press, (2021)Can Synthetic Images Improve CNN Performance in Wound Image Classification?, , , , , , , , , and 5 other author(s). MIE, volume 302 of Studies in Health Technology and Informatics, page 927-931. IOS Press, (2023)Predicting the amputation risk for patients with diabetic foot ulceration - a Bayesian decision support tool., , , , , and . BMC Medical Informatics Decis. Mak., 20 (1): 200 (2020)Development and Evaluation of a Bayesian Risk Stratification Method for Major Amputations in Patients with Diabetic Foot Ulcers., , , , , and . ICIMTH, volume 289 of Studies in Health Technology and Informatics, page 212-215. IOS Press, (2021)Automatic Wound Type Classification with Convolutional Neural Networks., , , , , , , , , and 3 other author(s). ICIMTH, volume 295 of Studies in Health Technology and Informatics, page 281-284. IOS Press, (2022)An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers., , , , , , , , , and 5 other author(s). MIE, volume 294 of Studies in Health Technology and Informatics, page 63-67. IOS Press, (2022)