Haozhe Luo

According to our database, Haozhe Luo authored at least 19 papers between 2022 and 2026.

Collaborative distances:

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

2026

KEPIL: Knowledge-Enhanced Prompt-Image Learning for Prompt-Robust Disease Detection.

Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou, Robert Berke, Mauricio Reyes

CoRR, May, 2026

XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography.

Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou, Sebastian Otálora, Mauricio Reyes

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs.

Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang

CoRR, December, 2025

XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography.

Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou, Sebastian Otalora, Mauricio Reyes

CoRR, October, 2025

RadDiagSeg-M: A Vision Language Model for Joint Diagnosis and Multi-Target Segmentation in Radiology.

Chengrun Li, Corentin Royer, Haozhe Luo, Bastian Wittmann, Xia Li, Ibrahim Ethem Hamamci, Sezgin Er, Anjany Sekuboyina, Bjoern H. Menze

CoRR, October, 2025

Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies.

Zirui Song, Yuan Huang, Junchang Liu, Haozhe Luo, Chenxi Wang, Lang Gao, Zixiang Xu, Mingfei Han, Xiaojun Chang, Xiuying Chen

CoRR, October, 2025

Enhancing Mobile Immersive Streaming Experience via Deadline-Aware Scheduling and Learning-Enhanced Congestion Control.

Long Luo, Yunxiang Zhou, Jin Shen, Haozhe Luo, Weihong Wu, Hongfang Yu

IEEE Internet Things J., 2025

ACE: Anatomically Consistent Embeddings in Composition and Decomposition.

Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

💡💡💡 Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs.

Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang

Proceedings of the Foundation Models for General Medical AI - Third International Workshop, 2025

Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis.

Shelley Zixin Shu, Haozhe Luo, Alexander Poellinger, Mauricio Reyes

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2025

On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-Offs in Medical Imaging.

Haozhe Luo, Ziyu Zhou, Shelley Zixin Shu, Aurélie Pahud de Mortanges, Robert Berke, Mauricio Reyes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

DeViDe: Faceted Medical Knowledge to Enhance Vision Foundation Model Pretraining for Radiology.

Haozhe Luo, Ziyu Zhou, Ming Hou, Corentin Royer, Mauricio Reyes, Anjany Sekuboyina, Bjoern Menze

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging.

Aurélie Pahud de Mortanges, Haozhe Luo, Shelley Zixin Shu, Amith Kamath, Yannick Suter, Mohamed Shelan, Alexander Poellinger, Mauricio Reyes

npj Digit. Medicine, 2024

DWARF: Disease-weighted network for attention map refinement.

Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Abraham Bernstein, Mauricio Reyes

CoRR, 2024

DeViDe: Faceted medical knowledge for improved medical vision-language pre-training.

Haozhe Luo, Ziyu Zhou, Corentin Royer, Anjany Sekuboyina, Bjoern H. Menze

CoRR, 2024

DWARF: Disease-Weighted Network for Attention Map Refinement.

Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Mauricio Reyes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

2023

Learning Anatomically Consistent Embedding for Chest Radiography.

Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

A Cascaded Convolutional Neural Network for Two-Phase Flow PIV of an Object Entering Water.

Changdong Yu, Haozhe Luo, Yiwei Fan, Xiaojun Bi, Mingjie He

IEEE Trans. Instrum. Meas., 2022

Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation.

Haozhe Luo, Changdong Yu, Raghavendra Selvan

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022