activity
20232026
most citedDeViDe: Faceted medical knowledge for improved medical vision-language pre-training

4 citations · 6 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

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.…

cs.CV2026

TCLA: Training-Free Class-wise Logit Adaptation for Medical Vision-Language Models

Tianyou Jiang, Ziyu Zhou

Medical Vision-Language Models (VLMs) exhibit strong zero-shot performance, yet their effectiveness still declines on out-of-distribution (OOD) data due to domain shifts and class…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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

Haozhe Luo, Ziyu Zhou, Zixin Shu +3

Deep neural networks excel in medical imaging but remain prone to biases, leading to fairness gaps across demographic groups. We provide the first systematic exploration of Human-A…

cs.CV2025

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…

cs.CV2024

Consisaug: A Consistency-based Augmentation for Polyp Detection in Endoscopy Image Analysis

Ziyu Zhou, Wenyuan Shen, Chang Liu

Colorectal cancer (CRC), which frequently originates from initially benign polyps, remains a significant contributor to global cancer-related mortality. Early and accurate detectio…

cs.CV2024★ 4 cited

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…

cs.CV2023★ 2 cited

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…