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20212023
most citedWhen SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation

37 citations · 48 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2023★ 4 cited

Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty

Chuanfei Hu, Tianyi Xia, Ying Cui +5

Multi-phase liver contrast-enhanced computed tomography (CECT) images convey the complementary multi-phase information for liver tumor segmentation (LiTS), which are crucial to ass…

eess.IV2023★ 37 cited

When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation

Chuanfei Hu, Tianyi Xia, Shenghong Ju +1

Learning to segmentation without large-scale samples is an inherent capability of human. Recently, Segment Anything Model (SAM) performs the significant zero-shot image segmentatio…

eess.SP2022★ 4 cited

Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition

Zhe Wang, Yongxiong Wang, Chuanfei Hu +2

Both the temporal dynamics and spatial correlations of Electroencephalogram (EEG), which contain discriminative emotion information, are essential for the emotion recognition. Howe…

cs.CV2022★ 1 cited

Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning

Chenyang Zhao, Chuanfei Hu, Hang Shao +2

An automatic vision-based sewer inspection plays a key role of sewage system in a modern city. Recent advances focus on utilizing deep learning model to realize the sewer inspectio…

cs.CV2022

ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition

Chuanfei Hu, Hang Shao, Bo Dong +2

Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR). Recent advances have achieved the reliable performances for FA…

cs.CV2021★ 2 cited

TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition

Chuanfei Hu, Weijie Sheng, Bo Dong +1

Recognizing the human emotion automatically from visual characteristics plays a vital role in many intelligent applications. Recently, gait-based emotion recognition, especially ga…