activity
20202024
most citedDeep Triplet Hashing Network for Case-based Medical Image Retrieval

66 citations · 80 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CV2024

Flattening Singular Values of Factorized Convolution for Medical Images

Zexin Feng, Na Zeng, Jiansheng Fang +4

Convolutional neural networks (CNNs) have long been the paradigm of choice for robust medical image processing (MIP). Therefore, it is crucial to effectively and efficiently deploy…

cs.CV2023★ 1 cited

Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning

Xiaoqing Zhang, Zunjie Xiao, Xiao Wu +4

Spatial attention mechanism has been widely incorporated into deep neural networks (DNNs), significantly lifting the performance in computer vision tasks via long-range dependency…

eess.IV2022

Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy

Jiansheng Fang, Anwei Li, Pu-Yun OuYang +5

Radiation encephalopathy (REP) is the most common complication for nasopharyngeal carcinoma (NPC) radiotherapy. It is highly desirable to assist clinicians in optimizing the NPC ra…

eess.IV2022

Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

Jiansheng Fang, Jingwen Wang, Anwei Li +5

In the management of lung nodules, we are desirable to predict nodule evolution in terms of its diameter variation on Computed Tomography (CT) scans and then provide a follow-up re…

eess.IV2021★ 1 cited

Weighing Features of Lung and Heart Regions for Thoracic Disease Classification

Jiansheng Fang, Yanwu Xu, Yitian Zhao +3

Chest X-rays are the most commonly available and affordable radiological examination for screening thoracic diseases. According to the domain knowledge of screening chest X-rays, t…

cs.IR2021★ 1 cited

Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval

Jiansheng Fang, Huazhu Fu, Dan Zeng +3

When encountering a dubious diagnostic case, medical instance retrieval can help radiologists make evidence-based diagnoses by finding images containing instances similar to a quer…