output
20192024
most citedCommon pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.IVShow all

3 papers · 1 filter

eess.IV2020★ 313 cited

Annotation-efficient deep learning for automatic medical image segmentation

Shanshan Wang, Cheng Li, Rongpin Wang +12

Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training…

eess.IV2020

Selective Information Passing for MR/CT Image Segmentation

Qikui Zhu, Liang Li, Jiangnan Hao +5

Automated medical image segmentation plays an important role in many clinical applications, which however is a very challenging task, due to complex background texture, lack of cle…

eess.IV2019★ 55 cited

Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising

Yu Gong, Hongming Shan, Yueyang Teng +5

Due to the widespread use of positron emission tomography (PET) in clinical practice, the potential risk of PET-associated radiation dose to patients needs to be minimized. However…