Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network. - Daniel H. Pak; Andrés Caballero; Wei Sun; James S. Duncan (ISBI, 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 (DART/DCL@MICCAI, 2020)

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 (IPMI, 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 (MICCAI (6), 2021)

Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction. - Daniel H. Pak; Xiao Chen 013; Eric Z. Chen; Yikang Liu 001; Terrence Chen; Shanhui Sun (CoRR, 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)

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 (MICCAI (2), 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)

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 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)

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, 2024)

Progressive Test Time Energy Adaptation for Medical Image Segmentation. - Xiaoran Zhang; Byung-Woo Hong; Hyoungseob Park; Daniel H. Pak; Anne-Marie Rickmann; Lawrence H. Staib; James S. Duncan; Alex Wong 001 (CoRR, 2025)

Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing. - Daniel H. Pak; Shubh Thaker; Kyle Baylous; Xiaoran Zhang; Danny Bluestein; James S. Duncan (CoRR, 2025)