Automatische Schätzung der Körperpose mit CNNs und LSTMs

In this thesis, we present an end-to-end approach to human pose estimation task that based on a deep hybrid architecture that combines convolutional neural network (CNNs) and recurrent neural networks (RNNs)

Magnetic resonance imaging for diagnosis of bipartite patella : usefulness and relationship with symptoms

Purpose: Bipartite patella is a rare developmental variation of the knee cap. We aimed to identify the magnetic resonance imaging (MRI) features of bipartite patella and evaluate the association with clinical symptoms. Material and methods: MRI exams of 61 patients with bipartite variant were evaluated for types of bipartite patella, oedema around the synchondrosis, bipartite fragment height (FH), distance between the fragment and the patella (FPD), and signal characteristics within the synchondrosis. The study was designed with two observers in order to achieve intra- and interobserver compliance. Any other major knee pathologies that can cause pain were also recorded. Results: Of the 61 participants the average age was 40.1 ± 14.3 years, 44 were males, and 17 were females. Fifty-nine of the bipartite fragments were located at the superolateral quadrant of the patella. There was oedema at the bipartite area in 35 patients. Ten of these patients had no major MRI diagnosis other than oedema, and they were classified as the symptomatic group. The age of the patients in the symptomatic group was statistically lower than in the asymptomatic group (p 0.05). High concordance correlation coefficients were observed on measurements Conclusions: MRI of the knee is highly accurate in evaluation of bipartite patella. To our knowledge; a detailed MRI analysis, like in our study, has not previously been performed, and our report is unique in showing that the symptomatic occurrence of bipartite patella is statistically higher in young patients

Cetuximab Concomitant with Second-Line Radiation Therapy in Patients with Locally Advanced Recurrent Squamous Cell Head and Neck Cancer

We presented 9 recurrent head and neck carcinoma patients. Priorly all of them had received radiochemotherapy. We used cetuximab and irradiation concomitantly. Overall survival analysis of the patients was performed using the Kaplan-Meier method on SPSS version 15.0. Based on this calculation, mean follow-up duration is 12.8 months. Mean survival time is 19.8 months and annual mean survival rate is 59.3%