Johannes Hofmanninger
Johannes Hofmanninger
Research Associate, Medical University of Vienna
meduniwien.ac.at üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Mapping visual features to semantic profiles for retrieval in medical imaging
J Hofmanninger, G Langs
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
312015
Machine learning: from radiomics to discovery and routine
G Langs, S Röhrich, J Hofmanninger, F Prayer, J Pan, C Herold, H Prosch
Der Radiologe 58 (1), 1-6, 2018
172018
Unsupervised identification of clinically relevant clusters in routine imaging data
J Hofmanninger, M Krenn, M Holzer, T Schlegl, H Prosch, G Langs
International Conference on Medical Image Computing and Computer-Assisted …, 2016
122016
Heterogeneity and matching of ventilation and perfusion within anatomical lung units in rats
RW Glenny, C Bauer, J Hofmanninger, WJ Lamm, MA Krueger, ...
Respiratory physiology & neurobiology 189 (3), 594-606, 2013
92013
Effects of individualized electrical impedance tomography and image reconstruction settings upon the assessment of regional ventilation distribution: Comparison to 4 …
F Thürk, S Boehme, D Mudrak, S Kampusch, A Wielandner, H Prosch, ...
PloS one 12 (8), e0182215, 2017
82017
Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem
J Hofmanninger, F Prayer, J Pan, S Rohrich, H Prosch, G Langs
arXiv preprint arXiv:2001.11767, 2020
52020
Volumetry based biomarker speed of growth: Quantifying the change of total tumor volume in whole-body magnetic resonance imaging over time improves risk stratification of …
M Wennmann, L Kintzelé, M Piraud, BH Menze, T Hielscher, ...
Oncotarget 9 (38), 25254, 2018
32018
Report on results of the second evaluation phase
R Donner, J Hofmanninger, T Schlegl, L Dolamic, C Boyer, D Markonis, ...
Deliverable d2 7, 0
2
Asymmetric cascade networks for focal Bone lesion prediction in multiple myeloma
R Licandro, J Hofmanninger, M Perkonigg, S Röhrich, MA Weber, ...
arXiv preprint arXiv:1907.13539, 2019
12019
Predicting Future Bone Infiltration Patterns in Multiple Myeloma
R Licandro, J Hofmanninger, MA Weber, B Menze, G Langs
International Workshop on Patch-based Techniques in Medical Imaging, 76-84, 2018
12018
Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates
J Hofmanninger, B Menze, MA Weber, G Langs
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
12017
Separation of target anatomical structure and occlusions in chest radiographs
J Hofmanninger, S Röhrich, H Prosch, G Langs
arXiv preprint arXiv:2002.00751, 2020
2020
Machine learning in radiology: Terminology from individual timepoint to trajectory
G Langs, U Attenberger, R Licandro, J Hofmanninger, M Perkonigg, ...
Der Radiologe 60 (1), 6-14, 2020
2020
Maschinelles Lernen in der Radiologie
G Langs, U Attenberger, R Licandro, J Hofmanninger, M Perkonigg, ...
Der Radiologe 60 (1), 6-14, 2020
2020
Künstliche Intelligenz in der Bildgebung der Lunge
F Prayer, S Röhrich, J Pan, J Hofmanninger, G Langs, H Prosch
Der Radiologe 60 (1), 42-47, 2020
2020
Artificial intelligence in lung imaging
F Prayer, S Roehrich, J Pan, J Hofmanninger, G Langs, H Prosch
Der Radiologe, 2019
2019
Effects of two different tidal volumes on tidal recruitment and hyperaeration in dogs with acute respiratory distress syndrome ventilated mechanically with positive end …
C Braun, J Soares, J Hofmanninger, C Cornet, A Ranieri, A Williamson, ...
Veterinary Anaesthesia and Analgesia 46 (6), 831. e2-831. e3, 2019
2019
Lung aeration distribution in anesthetized Beagles ventilated with lower or higher tidal volume in three different levels of end expiratory pressure: a computed tomography study
J Soares, C Braun, J Hofmanninger, C Cornet, A Williamson, A Ranieri, ...
Veterinary Anaesthesia and Analgesia 46 (6), 831. e16, 2019
2019
Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning
M Perkonigg, J Hofmanninger, B Menze, MA Weber, G Langs
Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018
2018
Identifying Imaging Markers for Disease Progression in Longitudinal CTs of Patients with Idiopathic Pulmonary Fibrosis
H Prosch, J Pan, J Hofmanninger, N Sverzellati, V Poletti, F Paryer, ...
A103. ILD: OUTCOMES, A2524-A2524, 2018
2018
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20