activity
20232026
most citedArtificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Toward a Locally Deployable Agentic Co-Scientist: Small-Model Planning for Early-Stage Drug Discovery

Tian Liang, Jiayu Chang, Alejandro F. Frangi +2

Early-stage computational drug discovery requires coordinating heterogeneous scientific tools across multi-step workflows. We present a lightweight, tool-augmented framework in whi…

cs.CV2026

HeartVolMesh: Cardiac Volumetric Mesh Reconstruction via Covariance-Guided Graph Deformation

Fengming Lin, Arezoo Zakeri, Haoran Dou +4

Accurate patient-specific tetrahedral cardiac meshes are essential for in-silico trials, yet common segmentation-then-modelling pipelines can blur thin-wall anatomy and offer limit…

cs.CV2026

Conditional Latent Diffusion Model with Fourier-based Motion Modelling for Virtual Population Synthesis

Shaokun Lan, Haoran Dou, Jinghan Huang +5

In-silico trials of medical devices require the generation of virtual populations of anatomies. In cardiovascular applications, virtual anatomy is typically represented as a 3D+t m…

cs.CV2026★ 1 cited

Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education

Yuanji Zhang, Yuhao Huang, Haoran Dou +28

Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prenatal detection remains challenging due to the scarcity of experienced specialists…

cs.CV2026

A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models

Yash Deo, Yan Jia, Toni Lassila +5

Image generative models are known to duplicate images from the training data as part of their outputs, which can lead to privacy concerns when used for medical image generation. We…

physics.med-ph2024

Proceedings Virtual Imaging Trials in Medicine 2024

Ehsan Abadi, Aldo Badano, Predrag Bakic +14

This submission comprises the proceedings of the 1st Virtual Imaging Trials in Medicine conference, organized by Duke University on April 22-24, 2024. The listed authors serve as t…

eess.IV2023

Pathologist-Like Explanations Unveiled: an Explainable Deep Learning System for White Blood Cell Classification

Aditya Shankar Pal, Debojyoti Biswas, Joy Mahapatra +3

White blood cells (WBCs) play a crucial role in safeguarding the human body against pathogens and foreign substances. Leveraging the abundance of WBC imaging data and the power of…