Le Lü

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin, Holger R. Roth, Mingchen Gao et al. · IEEE Transactions on Medical Imaging · 2016 · 5.8K citations · Full text

Computing, Computer Science, Biomedical Imaging +16

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Jieneng Chen, Yongyi Lu, Qihang Yu et al. · arXiv (Cornell University) · 2021 · 3.8K citations · Full text

Computing, Computer Science, Health Informatics +15

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers

Jieneng Chen, Jieru Mei, Xianhang Li et al. · Medical Image Analysis · 2024 · 988 citations · Full text

Computing, Biomedical Engineering, Computer Science +17

Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation

Holger R. Roth, Le Lü, Jiamin Liu et al. · IEEE Transactions on Medical Imaging · 2015 · 589 citations · Full text

Computing, Biomedical Engineering, Radiology +15

DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

Ke Yan, Xiaosong Wang, Le Lü et al. · Journal of Medical Imaging · 2018 · 565 citations · Full text

Computing, Health Informatics, Radiology +17