4 citations · 6 across the 7 of their papers we have counts for
8 papers
HarMoE: Multi-Source Chest Radiograph Pretraining with Dataset-Disentangled Experts
Haozhe Luo, Ziyu Zhou, Shelley Zixin Shu +1
Recent vision-language models for chest X-ray understanding are largely built on image-report alignment and therefore rely heavily on MIMIC-CXR as the dominant pretraining source.…
KEPIL: Knowledge-Enhanced Prompt-Image Learning for Prompt-Robust Disease Detection
Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou +2
Vision--language models (VLMs) show promise for clinical decision support in radiology because they enable joint reasoning over radiological images and clinical text, thereby lever…
Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher +4
Foundation models have been successful in natural language processing and computer vision because they are capable of capturing the underlying structures (foundation) of natural la…
XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography
Haozhe Luo, Shelley Zixin Shu, Ziyu Zhou +2
Vision-language models (VLMs) have recently shown remarkable zero-shot performance in medical image understanding, yet their grounding ability, the extent to which textual concepts…
RadDiagSeg-M: A Vision Language Model for Joint Diagnosis and Multi-Target Segmentation in Radiology
Chengrun Li, Corentin Royer, Haozhe Luo +6
Most current medical vision language models struggle to jointly generate diagnostic text and pixel-level segmentation masks in response to complex visual questions. This represents…
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher +4
Medical images acquired from standardized protocols show consistent macroscopic or microscopic anatomical structures, and these structures consist of composable/decomposable organs…
DeViDe: Faceted medical knowledge for improved medical vision-language pre-training
Haozhe Luo, Ziyu Zhou, Corentin Royer +2
Vision-language pre-training for chest X-rays has made significant strides, primarily by utilizing paired radiographs and radiology reports. However, existing approaches often face…
Learning Anatomically Consistent Embedding for Chest Radiography
Ziyu Zhou, Haozhe Luo, Jiaxuan Pang +3
Self-supervised learning (SSL) approaches have recently shown substantial success in learning visual representations from unannotated images. Compared with photographic images, med…