In Young Ha - researchr alias

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Viewing Publication 1 - 7 from 7

2021

Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventionsIn Young Ha, Mattias P. Heinrich. cmpb, 211:106374, 2021. [doi]

Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature LearningMona Schumacher, Daniela Frey, In Young Ha, Ragnar Bade, Andreas Genz, Mattias P. Heinrich. bildmed 2021: 16-21 [doi]

2020

Semantically Guided Large Deformation Estimation with Deep NetworksIn Young Ha, Matthias Wilms, Mattias P. Heinrich. sensors, 20(5):1392, 2020. [doi]

2019

Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided InterventionsIn Young Ha, Matthias Wilms, Heinz Handels, Mattias P. Heinrich. tbe, 66(2):302-310, 2019. [doi]

Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided InterventionsIn Young Ha, Mattias P. Heinrich. miccai 2019: 145-151 [doi]

2017

Multi-Object Segmentation in Chest X-Ray Using Cascaded Regression FernsIn Young Ha, Matthias Wilms, Mattias P. Heinrich. bildmed 2017: 254-259 [doi]

2016

Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided InterventionsMatthias Wilms, In Young Ha, Heinz Handels, Mattias Paul Heinrich. miccai 2016: 89-97 [doi]

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