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20212024
most citedPredicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer

35 citations

5 papers

cond-mat.mtrl-sci2024★ 6 cited

Unexpected versatile electrical transport behaviors of ferromagnetic nickel films

Kai-Xuan Zhang, Hanshu Xu, Jihoon Keum +3

Perpendicular magnetic anisotropy (PMA) of magnets is paramount for electrically controlled spintronics due to their intrinsic potentials for higher memory density, scalability, th…

eess.IV2023★ 1 cited

Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation

Yongsong Huang, Wanqing Xie, Mingzhen Li +5

Federated learning (FL) enables multiple client medical institutes collaboratively train a deep learning (DL) model with privacy protection. However, the performance of FL can be c…

cs.LG2022★ 20 cited

Hybrid Multimodal Fusion for Humor Detection

Haojie Xu, Weifeng Liu, Jingwei Liu +6

In this paper, we present our solution to the MuSe-Humor sub-challenge of the Multimodal Emotional Challenge (MuSe) 2022. The goal of the MuSe-Humor sub-challenge is to detect humo…

q-bio.QM2022★ 35 cited

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer

Bangwei Guo, Xingyu Li, Jitendra Jonnagaddala +2

Artificial intelligence (AI) models have been developed for predicting clinically relevant biomarkers, including microsatellite instability (MSI), for colorectal cancers (CRC). How…

cs.CV2021★ 22 cited

Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets

Pengbo Liu, Li Xiao, S. Kevin Zhou

There exists a large number of datasets for organ segmentation, which are partially annotated, and sequentially constructed. A typical dataset is constructed at a certain time by c…