Haozhe Luo

According to our database, Haozhe Luo authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

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

CoRR, May, 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

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