Qian Liu

According to our database, Qian Liu authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RDFace: A Benchmark Dataset for Rare Disease Facial Image Analysis under Extreme Data Scarcity and Phenotype-Aware Synthetic Generation.

Ganlin Feng, Yuxi Long, Hafsa Ali, Erin Lou, Fahad Butt, Qian Liu, Yang Wang, Pingzhao Hu

CoRR, April, 2026

Dual-Transformer Cross-Attention Framework for Alzheimer's disease detection via dPTE-Guided EEG channel selection and multi-modal integration.

Shyamal Y. Dharia, Qian Liu, Stephen D. Smith, Camilo E. Valderrama

Biomed. Signal Process. Control., 2026

EEG-based prediction of driving performance using spectrograms and vision transformers.

Johan Castro, Qian Liu, Camilo E. Valderrama

Array, 2026

2025

Fractal Dimension of Resting-State EEG as a Biomarker for Autonomous Sensory Meridian Response (ASMR).

Shyamal Y. Dharia, Camilo E. Valderrama, Qian Liu, Beverley Katherine Fredborg, Amy S. Desroches, Stephen D. Smith

IEEE J. Biomed. Health Informatics, December, 2025

A graph neural network approach for hierarchical mapping of breast cancer protein communities.

Xiao Zhang, Qian Liu

BMC Bioinform., December, 2025

Hybrid vision transformer framework for efficient and explainable SEM image-based nanomaterial classification.

Manpreet Kaur, Camilo E. Valderrama, Qian Liu

Mach. Learn. Sci. Technol., 2025

2024

Simple Histogram Equalization Technique Improves Performance of VGG Models on Facial Emotion Recognition Datasets.

Jaher Hassan Chowdhury, Qian Liu, Sheela Ramanna

Algorithms, June, 2024

ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning.

Youcheng Li, Leann Lac, Qian Liu, Pingzhao Hu

PLoS Comput. Biol., 2024

Conditional probabilistic diffusion model driven synthetic radiogenomic applications in breast cancer.

Lianghong Chen, Zi Huai Huang, Yan Sun, Mike Domaratzki, Qian Liu, Pingzhao Hu

PLoS Comput. Biol., 2024

MPSleepNet: Matrix Profile-Guided Transformer for Multi-Channel Sleep Classification.

Huanjing Liu, Camilo E. Valderrama, Xingying Zhang, Qian Liu

Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning, 2024

Exploring the Effect of Age and Sex on Subject-Independent EEG-Based Emotion Recognition Methods.

Camilo E. Valderrama, Anshul Sheoran, Qian Liu

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023

Machine learning-driven integration of multimodal data for deciphering breast cancer heterogeneity.

Qian Liu

PhD thesis, 2023

Patch-based deep learning models for breast mammographic mass classification.

Wentao Xie, Qian Liu, Yongye Su, Yi Yan, Shujun Huang, Qin Kuang, Pingzhao Hu

Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023

2022

Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data.

Qian Liu, Bowen Cheng, Yongwon Jin, Pingzhao Hu

J. Biomed. Informatics, 2022

YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms.

Yongye Su, Qian Liu, Wentao Xie, Pingzhao Hu

Comput. Methods Programs Biomed., 2022

Semi-supervised COVID-19 CT image segmentation using deep generative models.

Judah Zammit, Daryl L. X. Fung, Qian Liu, Carson Kai-Sang Leung, Pingzhao Hu

BMC Bioinform., 2022

2020

A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images.

Qian Liu, Carson K. Leung, Pingzhao Hu

IEEE Access, 2020