1 citations · 1 across the 11 of their papers we have counts for
11 papers
BRIDGE: Behavior-Guided Residual Integration with Dual-Frequency Graph Evidence
Zesheng Li, Chengchang Pan, Honggang Qi
Multimodal recommendation improves item representations by combining visual, textual, and collaborative signals, but stronger cross-view alignment does not always improve ranking.…
GraSP-VL: Length as a Semantic Granularity Interface for Vision-Language Representations
Zesheng Li, Chengchang Pan, Honggang Qi
Frozen vision-language embeddings contain signals at multiple semantic resolutions, from object identity to attributes, relations, and full-caption meaning, but they expose these s…
HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction
Jie Qin, Wei Yang, Yan Su +5
In breast cancer HER2 assessment, clinical evaluation relies on combined H&E and IHC images, yet acquiring both modalities is often hindered by clinical constraints and cost. We pr…
A Dynamic Prognostic Prediction Method for Colorectal Cancer Liver Metastasis
Wei Yang, Yiran Zhu, Yan su +3
Colorectal cancer liver metastasis (CRLM) exhibits high postoperative recurrence and pronounced prognostic heterogeneity, challenging individualized management. Existing prognostic…
PupiNet: Seamless OCT-OCTA Interconversion Through Wavelet-Driven and Multi-Scale Attention Mechanisms
Renzhi Tian, Jinjie Wang, Wei Yang +5
Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA) are key diagnostic tools for clinical evaluation and management of retinal diseases. Compared…
4D-ACFNet: A 4D Attention Mechanism-Based Prognostic Framework for Colorectal Cancer Liver Metastasis Integrating Multimodal Spatiotemporal Features
Zesheng Li, Wei Yang, Yan Su +5
Postoperative prognostic prediction for colorectal cancer liver metastasis (CRLM) remains challenging due to tumor heterogeneity, dynamic evolution of the hepatic microenvironment,…
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering
Wei Yang, Yiran Zhu, Jiayu Shen +5
Diabetic Macular Edema (DME), a prevalent complication among diabetic patients, constitutes a major cause of visual impairment and blindness. Although deep learning has achieved re…
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging
Junji Lin, Yi Zhang, Yunyue Pan +3
Detection and classification of pulmonary nodules is a challenge in medical image analysis due to the variety of shapes and sizes of nodules and their high concealment. Despite the…
RetinaRegen: A Hybrid Model for Readability and Detail Restoration in Fundus Images
Yuhan Tang, Yudian Wang, Weizhen Li +3
Fundus image quality is crucial for diagnosing eye diseases, but real-world conditions often result in blurred or unreadable images, increasing diagnostic uncertainty. To address t…
RURA-Net: A general disease diagnosis method based on Zero-Shot Learning
Yan Su, Qiulin Wu, Weizhen Li +2
The training of deep learning models relies on a large amount of labeled data. However, the high cost of medical labeling seriously hinders the development of deep learning in the…
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images
Zesheng Li, Minwen Liao, Haoran Chen +3
The hemorrhagic lesion segmentation plays a critical role in ophthalmic diagnosis, directly influencing early disease detection, treatment planning, and therapeutic efficacy evalua…