In Young Ha

According to our database, In Young Ha authored at least 7 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventions.

In Young Ha, Mattias P. Heinrich

Comput. Methods Programs Biomed., 2021

Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning.

Mona Schumacher, Daniela Frey, In Young Ha, Ragnar Bade, Andreas Genz, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Semantically Guided Large Deformation Estimation with Deep Networks.

In Young Ha, Matthias Wilms, Mattias P. Heinrich

Sensors, 2020

2019

Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions.

In Young Ha, Matthias Wilms, Heinz Handels, Mattias P. Heinrich

IEEE Trans. Biomed. Eng., 2019

Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions.

In Young Ha, Mattias P. Heinrich

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

2017

Multi-Object Segmentation in Chest X-Ray Using Cascaded Regression Ferns.

In Young Ha, Matthias Wilms, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions.

Matthias Wilms, In Young Ha, Heinz Handels, Mattias Paul Heinrich

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016