Daniel H. Pak

According to our database, Daniel H. Pak authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning.

Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Andrés Caballero, John A. Onofrey, Shawn S. Ahn, Yilin Xu, Raymond McKay, Wei Sun, Rudolph L. Gleason, James S. Duncan

IEEE Trans. Medical Imaging, January, 2024

Robust automated calcification meshing for personalized cardiovascular biomechanics.

Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan

npj Digit. Medicine, 2024

AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis.

Caglar Ozturk, Daniel H. Pak, Luca Rosalia, Debkalpa Goswami, Mary E. Robakowski, Raymond McKay, Christopher T. Nguyen, James S. Duncan, Ellen T. Roche

CoRR, 2024

Robust automated calcification meshing for biomechanical cardiac digital twins.

Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan

CoRR, 2024

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration.

Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images.

Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You, Lawrence H. Staib, Albert J. Sinusas, Alexandra L. N. Wong, James S. Duncan

CoRR, 2023

Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction.

Daniel H. Pak, Xiao Chen, Eric Z. Chen, Yikang Liu, Terrence Chen, Shanhui Sun

CoRR, 2023

2021

Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves.

Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Raymond McKay, Wei Sun, James S. Duncan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images.

Daniel H. Pak, Minliang Liu, Shawn S. Ahn, Andrés Caballero, John A. Onofrey, Liang Liang, Wei Sun, James S. Duncan

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space.

Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network.

Daniel H. Pak, Andrés Caballero, Wei Sun, James S. Duncan

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020