17 citations · 33 across the 7 of their papers we have counts for
7 papers
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
Yilan Zhang, Yingxue Xu, Jianqi Chen +2
Multimodal learning significantly benefits cancer survival prediction, especially the integration of pathological images and genomic data. Despite advantages of multimodal learning…
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
Yilan Zhang, Jianqi Chen, Ke Wang +1
Skin image datasets often suffer from imbalanced data distribution, exacerbating the difficulty of computer-aided skin disease diagnosis. Some recent works exploit supervised contr…
Zero-Shot Image Harmonization with Generative Model Prior
Jianqi Chen, Yilan Zhang, Zhengxia Zou +2
We propose a zero-shot approach to image harmonization, aiming to overcome the reliance on large amounts of synthetic composite images in existing methods. These methods, while sho…
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Jianqi Chen, Hao Chen, Keyan Chen +3
Many existing adversarial attacks generate -norm perturbations on image RGB space. Despite some achievements in transferability and attack success rate, the crafted adversaria…
Dense Pixel-to-Pixel Harmonization via Continuous Image Representation
Jianqi Chen, Yilan Zhang, Zhengxia Zou +2
High-resolution (HR) image harmonization is of great significance in real-world applications such as image synthesis and image editing. However, due to the high memory costs, exist…
TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis
Yilan Zhang, Fengying Xie, Jianqi Chen
Multi-modal skin lesion diagnosis (MSLD) has achieved remarkable success by modern computer-aided diagnosis (CAD) technology based on deep convolutions. However, the information ag…
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval
Yilan Zhang, Fengying Xie, Xuedong Song +4
The computer-aided diagnosis (CAD) system can provide a reference basis for the clinical diagnosis of skin diseases. Convolutional neural networks (CNNs) can not only extract visua…