Yanqi Xu

According to our database, Yanqi Xu authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images.

Yuxuan Chen, Arianna Bunnell, Yanqi Xu, Haoyan Yang, Thomas K. Wolfgruber, John A. Shepherd, Yiqiu Shen

CoRR, May, 2026

Grayscale-inversion and rotation invariant texture descriptor: Non-Local Binary Derivative Pattern.

Hongying Yang, Yanqi Xu, Na Wei, Panpan Niu, Xiangyang Wang

Signal Process. Image Commun., 2026

S-Gens: Structure-Aware Synthetic Data Generation for Enhancing Reasoning-Intensive Dense Retrieval.

Zhou Lei, Yanqi Xu, Shengbo Chen

Inf., 2026

2025

Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization.

Ebrahim Rasromani, Stella K. Kang, Yanqi Xu, Beisong Liu, Garvit Luhadia, Wan Fung Chui, Felicia L. Pasadyn, Yu Chih Hung, Julie Y. An, Edwin Mathieu, Zehui Gu, Carlos Fernandez-Granda, Ammar A. Javed, Greg D. Sacks, Tamas Gonda, Chenchan Huang, Yiqiu Shen

CoRR, July, 2025

A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study.

Jungkyu Park, Jan Witowski, Yanqi Xu, Hari Trivedi, Judy Gichoya, Beatrice Brown-Mulry, Malte Westerhoff, Linda Moy, Laura Heacock, Alana Lewin, Krzysztof J. Geras

CoRR, April, 2025

A robust image descriptor-local radial grouped invariant order pattern.

Xiangyang Wang, Yanqi Xu, Panpan Niu

Inf. Sci., 2025

Regional gradient pattern (RGP): A novel invariant texture descriptor.

Xiangyang Wang, Yanqi Xu, Panpan Niu

Expert Syst. Appl., 2025

2024

An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects.

Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia E. Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras

IEEE Trans. Medical Imaging, January, 2024

Understanding differences in applying DETR to natural and medical images.

Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda, Laura Heacock, Krzysztof J. Geras

CoRR, 2024

2022

3D-GMIC: an efficient deep neural network to find small objects in large 3D images.

Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia E. Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras

CoRR, 2022