activity
20182021
most citedMultimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation

157 citations · 294 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 35 cited

Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images

Xiaohang Fu, Lei Bi, Ashnil Kumar +2

The identification of melanoma involves an integrated analysis of skin lesion images acquired using the clinical and dermoscopy modalities. Dermoscopic images provide a detailed vi…

eess.IV2021★ 48 cited

Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT

Xiaohang Fu, Lei Bi, Ashnil Kumar +2

Accurate characterisation of visual attributes such as spiculation, lobulation, and calcification of lung nodules is critical in cancer management. The characterisation of these at…

cs.HC2020

Display object alignment may influence location recall in unexpected ways

Peter Zelchenko, Xiaohan Fu, Xiangqian Li +2

There is a presumption in human-computer interaction that laying out menus and most other material in neat rows and columns helps users get work done. The rule has been so implicit…

eess.IV2020★ 157 cited

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation

Xiaohang Fu, Lei Bi, Ashnil Kumar +2

Multimodal positron emission tomography-computed tomography (PET-CT) is used routinely in the assessment of cancer. PET-CT combines the high sensitivity for tumor detection with PE…

stat.ML2020

Learning reduced systems via deep neural networks with memory

Xiaohan Fu, Lo-Bin Chang, Dongbin Xiu

We present a general numerical approach for constructing governing equations for unknown dynamical systems when only data on a subset of the state variables are available. The unkn…

cs.CV2018★ 54 cited

Segmentation of histological images and fibrosis identification with a convolutional neural network

Xiaohang Fu, Tong Liu, Zhaohan Xiong +3

Segmentation of histological images is one of the most crucial tasks for many biomedical analyses including quantification of certain tissue type. However, challenges are posed by…