Publications

2026

Refined myocardium segmentation from CT using a Hybrid-Fusion transformer
Qin S, Xing F, Cho J, Park J, Liu X, Rouhollahi A, Farhat E, Javadikasgari H, Sabe A, Nezami F, Woo J, Aganj I. Refined myocardium segmentation from CT using a Hybrid-Fusion transformer. Biomedical Signal Processing And Control 2026, 119: 109712. DOI: 10.1016/j.bspc.2026.109712.
Peer-Reviewed Original Research
Concepts
Depression detection via multimodal analysis using a large language model-powered interview platform
Chen Y, Xu C, Liang C, Tao Y, Du F, Liu X, Wang M, Li Z, Qiu J, Shi C. Depression detection via multimodal analysis using a large language model-powered interview platform. Engineering Applications Of Artificial Intelligence 2026, 173: 114480. DOI: 10.1016/j.engappai.2026.114480.
Peer-Reviewed Original Research
Concepts
Causal Graph Learning for Face-Based Interpretable Hierarchical Diagnosis of Depression
Zhang B, Wang D, Cheng M, Liu X, Wang Y, Zhu F, Lin Z, Shi C, Xie W. Causal Graph Learning for Face-Based Interpretable Hierarchical Diagnosis of Depression. IEEE Transactions On Computational Social Systems 2026, PP: 1-14. DOI: 10.1109/tcss.2025.3645183.
Peer-Reviewed Original Research
Concepts
Individualized Treatment Effect Inference of HNC with Multimodal Data
Wei Y, Li Z, Woo J, Ouyang J, El Fakhri G, Liu X. Individualized Treatment Effect Inference of HNC with Multimodal Data. APSIPA Transactions On Signal And Information Processing 2026, 14 DOI: 10.1561/116.20250051.
Peer-Reviewed Original Research

2025

See All Publications

Publications

2026

Refined myocardium segmentation from CT using a Hybrid-Fusion transformer

Depression detection via multimodal analysis using a large language model-powered interview platform

Causal Graph Learning for Face-Based Interpretable Hierarchical Diagnosis of Depression

Individualized Treatment Effect Inference of HNC with Multimodal Data

2025

Variance Extrapolated Class-Imbalance-Aware Domain Adaptive Myocardial Segmentation in Multi-Sequence Cardiac MRI

Deep learning-based non-contrast MRI model for nasopharyngeal carcinoma diagnosis: an end-to-end gadolinium-free solution

Three-Dimensional MRI Reconstruction with 3D Gaussian Representations: Tackling the Undersampling Problem

On Hallucinations in Artificial Intelligence–Generated Content for Nuclear Medicine Imaging (the DREAM Report)

Infrared Image Super-Resolution: A Systematic Review and Future Trends

Ultra-High-Definition Image Restoration: New Benchmarks and a Dual Interaction Prior-Driven Solution

Vision-language foundation model for generalizable nasal disease diagnosis using unlabeled endoscopic records

Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning

Dendrite cross attention for high-dose-rate brachytherapy distribution planning

Deep learning-based detection of depression by fusing auditory, visual and textual clues

Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models

An Interpretable Artificial Intelligence System for Crohn's Disease Ulcer Identification and Grading on Double‐Balloon Enteroscopy Images

Texture and noise dual adaptation for infrared image super-resolution

PHSOP12 Presentation Time: 9:55 AM No Training Set Required: Concept and Benchmarking of BrachyGPT, the First Fully-Automated AI Zero-Shot Brachytherapy Treatment Planning Framework

Artificial intelligence-assisted detection of nasopharyngeal carcinoma on endoscopic images: a national, multicentre, model development and validation study

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning

Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation

Label Space-Induced Pseudo Label Refinement for Multi-Source Black-Box Domain Adaptation

Modeling inter‐reader variability in clinical target volume delineation for soft tissue sarcomas using diffusion model

Formation Tracking of Mobile Robots Using Only Constrained and Faulty Visual Feedback

Domain-adaptive myocardial segmentation using multi-platform cine magnetic resonance images