Ludwig-Maximilians-Universität (LMU)

Sub-10 fs, 45 W, 3 µJ pulses from a Yb:YAG thin-disk oscillator (2019) Barbiero G, Ahmad RN, Wang H, Köttig F, Brons J, Schade D, Novoa D, et al. Conference contribution Altered relaxation times in MRI indicate bronchopulmonary dysplasia (2019) Foerster K, Ertl-Wagner B, Ehrhardt H, Busen H, Sass S, Pomschar A, Naehrlich L, et al. Journal article Dose and spatial resolution analysis of grating-based phase-contrast mammography using an inverse Compton x-ray source (2019) Heck L, Eggl E, Grandl S, Dierolf M, Jud C, Günther B, Achterhold K, et al. 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 Graph convolution based attention model for personalized disease prediction (2019) Kazi A, Shekarforoush S, Krishna SA, Burwinkel H, Vivar G, Wiestler B, Kortuem K, et al. Conference contribution ‘Project & Excite’ Modules for Segmentation of Volumetric Medical Scans (2019) Rickmann AM, Roy AG, Sarasua I, Navab N, Wachinger C Conference contribution 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation (2019) Paschali M, Gasperini S, Roy AG, Fang MYS, Navab N Conference contribution Medical-based Deep Curriculum Learning for Improved Fracture Classification (2019) Jimenez-Sanchez A, Mateus D, Kirchhoff S, Kirchhoff C, Biberthaler P, Navab N, Gonzalez Ballester MA, Piella G Conference contribution Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks (2019) Burwinkel H, Kazi A, Vivar G, Albarqouni S, Zahnd G, Navab N, Ahmadi SA Conference contribution