Daniel H. Pak - RankMe

13 papers Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Progressive Test Time Energy Adaptation for Medical Image Segmentation. CoRR Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park, Daniel H. Pak, Anne-Marie Rickmann, Lawrence H. Staib, James S. Duncan, Alex Wong
2025	J	`jnl`	Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing. CoRR Daniel H. Pak, Shubh Thaker, Kyle Baylous, Xiaoran Zhang, Danny Bluestein, James S. Duncan
2024	J	`jnl`	AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis. CoRR Caglar Ozturk, Daniel H. Pak, Luca Rosalia, Debkalpa Goswami, Mary E. Robakowski, Raymond McKay, Christopher T. Nguyen, James S. Duncan, Ellen T. Roche
2024	—	`conf`	Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration. MICCAI (2) 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
2024	J	`jnl`	Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning. IEEE Trans. Medical Imaging 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
2024	J	`jnl`	Robust automated calcification meshing for biomechanical cardiac digital twins. CoRR Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan
2024	J	`jnl`	Robust automated calcification meshing for personalized cardiovascular biomechanics. npj Digit. Medicine Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan
2023	J	`jnl`	Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images. CoRR 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
2023	J	`jnl`	Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction. CoRR Daniel H. Pak, Xiao Chen, Eric Z. Chen, Yikang Liu, Terrence Chen, Shanhui Sun
2021	—	`conf`	Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves. MICCAI (6) Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Raymond McKay, Wei Sun, James S. Duncan
2021	—	`conf`	Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images. IPMI Daniel H. Pak, Minliang Liu, Shawn S. Ahn, Andrés Caballero, John A. Onofrey, Liang Liang, Wei Sun, James S. Duncan
2020	—	`conf`	Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan
2020	—	`conf`	Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network. ISBI Daniel H. Pak, Andrés Caballero, Wei Sun, James S. Duncan