176 citations · 176 across the 3 of their papers we have counts for
3 papers
Classification of Electrical Impedance Tomography Data Using Machine Learning
Diogo Pessoa, Bruno Machado Rocha, Grigorios-Aris Cheimariotis +7
Patients suffering from pulmonary diseases typically exhibit pathological lung ventilation in terms of homogeneity. Electrical Impedance Tomography (EIT) is a non-invasive imaging…
Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models
Nils Strodthoff, Claas Strodthoff, Tobias Becher +2
Electrical impedance tomography (EIT) is a noninvasive imaging modality that allows a continuous assessment of changes in regional bioimpedance of different organs. One of its most…
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff, Claas Strodthoff
Objective: We aim to provide an algorithm for the detection of myocardial infarction that operates directly on ECG data without any preprocessing and to investigate its decision cr…