Haozhe Luo

21 papers A 2Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A conf
ACE: Anatomically Consistent Embeddings in Composition and Decomposition.
WACV
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025 J jnl
ACE: Anatomically Consistent Embeddings in Composition and Decomposition.
CoRR
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025 J jnl
Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies.
CoRR
Zirui Song, Yuan Huang, Junchang Liu, Haozhe Luo, Chenxi Wang, Lang Gao, Zixiang Xu, Mingfei Han, Xiaojun Chang, Xiuying Chen
2025 — conf
DeViDe: Faceted Medical Knowledge to Enhance Vision Foundation Model Pretraining for Radiology.
BIBM
Haozhe Luo, Ziyu Zhou, Ming Hou, Corentin Royer, Mauricio Reyes, Anjany Sekuboyina, Bjoern Menze
2025 J jnl
Enhancing Mobile Immersive Streaming Experience via Deadline-Aware Scheduling and Learning-Enhanced Congestion Control.
IEEE Internet Things J.
Long Luo, Yunxiang Zhou, Jin Shen, Haozhe Luo, Weihong Wu, Hongfang Yu
2025 — conf
Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis.
iMIMIC@MICCAI
Shelley Zixin Shu, Haozhe Luo, Alexander Poellinger, Mauricio Reyes
2025 J jnl
Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis.
CoRR
Shelley Zixin Shu, Haozhe Luo, Alexander Poellinger, Mauricio Reyes
2025 J jnl
Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs.
CoRR
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2025 — conf
On the Interplay of Human-AI Alignment, Fairness, and Performance Trade-Offs in Medical Imaging.
MICCAI (14)
Haozhe Luo, Ziyu Zhou, Shelley Zixin Shu, Aurélie Pahud de Mortanges, Robert Berke, Mauricio Reyes
2025 J jnl
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging.
CoRR
Haozhe Luo, Ziyu Zhou, Shelley Zixin Shu, Aurélie Pahud de Mortanges, Robert Berke, Mauricio Reyes
2025 J jnl
RadDiagSeg-M: A Vision Language Model for Joint Diagnosis and Multi-Target Segmentation in Radiology.
CoRR
Chengrun Li, Corentin Royer, Haozhe Luo, Bastian Wittmann, Xia Li, Ibrahim Ethem Hamamci, Sezgin Er, Anjany Sekuboyina, Bjoern H. Menze
2025 J jnl
XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography.
CoRR
Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou, Sebastian Otalora, Mauricio Reyes
2025 — conf
💡💡💡 Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs.
MedAGI
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2024 — conf
DWARF: Disease-Weighted Network for Attention Map Refinement.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Mauricio Reyes
2024 J jnl
DWARF: Disease-weighted network for attention map refinement.
CoRR
Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Abraham Bernstein, Mauricio Reyes
2024 J jnl
DeViDe: Faceted medical knowledge for improved medical vision-language pre-training.
CoRR
Haozhe Luo, Ziyu Zhou, Corentin Royer, Anjany Sekuboyina, Bjoern H. Menze
2024 J jnl
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging.
npj Digit. Medicine
Aurélie Pahud de Mortanges, Haozhe Luo, Shelley Zixin Shu, Amith Kamath, Yannick Suter, Mohamed Shelan, Alexander Poellinger, Mauricio Reyes
2023 A conf
Learning Anatomically Consistent Embedding for Chest Radiography.
BMVC
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2023 J jnl
Learning Anatomically Consistent Embedding for Chest Radiography.
CoRR
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang
2022 J jnl
A Cascaded Convolutional Neural Network for Two-Phase Flow PIV of an Object Entering Water.
IEEE Trans. Instrum. Meas.
Changdong Yu, Haozhe Luo, Yiwei Fan, Xiaojun Bi, Mingjie He
2022 — conf
Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation.
MIDL
Haozhe Luo, Changdong Yu, Raghavendra Selvan