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20232025
most citedFaithful Contouring: Near-Lossless 3D Voxel Representation Free from Iso-surface

1 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025★ 1 cited

Faithful Contouring: Near-Lossless 3D Voxel Representation Free from Iso-surface

Yihao Luo, Xianglong He, Chuanyu Pan +7

Accurate and efficient voxelized representations of 3D meshes are the foundation of 3D reconstruction and generation. However, existing representations based on iso-surface heavily…

cs.LG2025

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

Wenhao Ding, Choon Hwai Yap, Kangjun Ji +1

A generative model for the mesh geometry of intracranial aneurysms (IA) is crucial for training networks to predict blood flow forces in real time, which is a key factor affecting…

cs.CV2025

Relational Anatomical Supervision for Accurate 3D Multi-Chamber Cardiac Mesh Reconstruction

Chenyu Zhang, Yihao Luo, Lei Zhu +3

Accurate reconstruction of multi-chamber cardiac anatomy from medical images is a cornerstone for patient-specific modeling, physiological simulation, and interventional planning.…

cs.CV2025★ 1 cited

Motion-enhanced Cardiac Anatomy Segmentation via an Insertable Temporal Attention Module

Md. Kamrul Hasan, Guang Yang, Choon Hwai Yap

Cardiac anatomy segmentation is useful for clinical assessment of cardiac morphology to inform diagnosis and intervention. Deep learning (DL), especially with motion information, h…

eess.IV2024

Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction

Yihao Luo, Dario Sesia, Fanwen Wang +9

Mesh reconstruction of the cardiac anatomy from medical images is useful for shape and motion measurements and biophysics simulations to facilitate the assessment of cardiac functi…

cs.CV2024

Differentiable Voxelization and Mesh Morphing

Yihao Luo, Yikai Wang, Zhengrui Xiang +3

In this paper, we propose the differentiable voxelization of 3D meshes via the winding number and solid angles. The proposed approach achieves fast, flexible, and accurate voxeliza…

eess.IV2023★ 1 cited

Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography

Md. Kamrul Hasan, Haobo Zhu, Guang Yang +1

Temporal echocardiography image registration is a basis for clinical quantifications such as cardiac motion estimation, myocardial strain assessments, and stroke volume quantificat…