Eric I-Chao Chang

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Papers (11)

1. Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge cs.CV · 2018 · author #29
2. MRI Cross-Modality NeuroImage-to-NeuroImage Translation cs.CV · 2018 · author #5
3. Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks cs.CV · 2017 · author #3
4. Unsupervised End-to-end Learning for Deformable Medical Image Registration cs.CV · 2017 · author #4
5. Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device stat.ML · 2017 · author #3
6. Constrained Deep Weak Supervision for Histopathology Image Segmentation cs.CV · 2017 · author #3
7. Learning Multi-level Features For Sensor-based Human Action Recognition cs.CV · 2016 · author #8
8. Gland Instance Segmentation Using Deep Multichannel Neural Networks cs.CV · 2016 · author #7
9. End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance cs.CV · 2016 · author #8
10. Gland Instance Segmentation by Deep Multichannel Neural Networks cs.CV · 2016 · author #7
11. Gland Instance Segmentation by Deep Multichannel Side Supervision cs.CV · 2016 · author #6

Mentions

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Frequent Coauthors

• Yan Xu 11 shared papers
• Yubo Fan 6 shared papers
• Yipei Wang 5 shared papers
• Maode Lai 4 shared papers
• Mingyuan Liu 3 shared papers
• Yang Li 3 shared papers
• Zhipeng Jia 3 shared papers
• Siyuan Shan 2 shared papers
• Xin Zhang 2 shared papers
• Zhengyang Shen 2 shared papers
• Andrew H. Beck 1 shared papers
• Babak Ehteshami Bejnordi 1 shared papers
• Bo Hu 1 shared papers
• David Lanyi 1 shared papers
• David Tellez 1 shared papers
• Dayong Wang 1 shared papers
• Erik Sj\"oblom 1 shared papers
• Erwan Zerhouni 1 shared papers
• Francesco Ciompi 1 shared papers
• Francisco Beca 1 shared papers