Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors (2019) Dal Toso L, Pfaehler E, Boellaard R, Schnabel JA, Marsden PK Conference contribution Deep autoencoding models for unsupervised anomaly segmentation in brain MR images (2019) Baur C, Wiestler B, Albarqouni S, Navab N Conference contribution InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction (2019) Kazi A, Shekarforoush S, Krishna SA, Burwinkel H, Vivar G, Kortum K, Ahmadi SA, et al. Conference contribution Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness (2019) Paschali M, Simson W, Roy AG, Goebl R, Wachinger C, Navab N Conference contribution Dealing with Ambiguity in Robotic Grasping via Multiple Predictions (2019) Ghazaei G, Laina I, Rupprecht C, Tombari F, Navab N, Nazarpour K Conference contribution Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach (2019) Lahiani A, Gildenblat J, Klaman I, Albarqouni S, Navab N, Klaiman E Conference contribution Quantifying Structural Heterogeneity of Healthy and Cancerous Mitochondria Using a Combined Segmentation and Classification USK-Net (2019) Mishra M, Schmitt S, Zischka H, Strasser M, Navab N, Marr C, Peng T Conference contribution Multi-scale microaneurysms segmentation using embedding triplet loss (2019) Sarhan MH, Albarqouni S, Yigitsoy M, Navab N, Eslami A Conference contribution Multiclass deep active learning for detecting red blood cell subtypes in brightfield microscopy (2019) Sadafi A, Koehler N, Makhro A, Bogdanova A, Navab N, Marr C, Peng T Conference contribution Perceptual embedding consistency for seamless reconstruction of tilewise style transfer (2019) Lahiani A, Navab N, Albarqouni S, Klaiman E Conference contribution