Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation. - Haozhe Luo; Changdong Yu; Raghavendra Selvan (MIDL, 2022)

A Cascaded Convolutional Neural Network for Two-Phase Flow PIV of an Object Entering Water. - Changdong Yu; Haozhe Luo; Yiwei Fan; Xiaojun Bi 002; Mingjie He (IEEE Trans. Instrum. Meas., 2022)

Learning Anatomically Consistent Embedding for Chest Radiography. - Ziyu Zhou; Haozhe Luo; Jiaxuan Pang; Xiaowei Ding; Michael B. Gotway; Jianming Liang (BMVC, 2023)

DWARF: Disease-Weighted Network for Attention Map Refinement. - Haozhe Luo; Aurélie Pahud de Mortanges; Oana Inel; Mauricio Reyes 001 (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 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; Abraham Bernstein; Mauricio Reyes 001 (CoRR, 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 001 (npj Digit. Medicine, 2024)

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 (WACV, 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 001 (CoRR, 2025)