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ERIC I-CHAO CHANG
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Open Visualization
Name
Affiliation
Papers
ERIC I-CHAO CHANG
Microsoft Res Asia, Beijing, Peoples R China
19
Collaborators
Citations
PageRank
59
261
12.68
Referers
Referees
References
1030
1123
397
Search Limit
100
1000
Publications (19 rows)
Collaborators (59 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
10
0.44
2020
Wound area measurement with 3D transformation and smartphone images.
3
0.43
2019
Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries.
0
0.34
2019
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble.
1
0.36
2018
MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation.
2
0.37
2018
Parallel multiple instance learning for extremely large histopathology image analysis.
1
0.36
2017
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance.
0
0.34
2016
Gland Instance Segmentation by Deep Multichannel Neural Networks.
14
0.75
2016
Gland Instance Segmentation by Deep Multichannel Side Supervision.
15
0.82
2016
Deep Convolutional Activation Features For Large Scale Brain Tumor Histopathology Image Classification And Segmentation
15
0.64
2015
Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary.
5
0.39
2015
A two-layer structure prediction framework for microscopy cell detection.
1
0.37
2015
Unsupervised object class discovery via saliency-guided multiple class learning
32
0.85
2015
Weakly supervised histopathology cancer image segmentation and classification.
49
1.38
2014
Deep learning of feature representation with multiple instance learning for medical image analysis
49
1.57
2014
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge.
14
0.94
2013
Named entity recognition of follow-up and time information in 20,000 radiology reports.
12
0.83
2012
Context-constrained multiple instance learning for histopathology image segmentation.
15
0.65
2012
Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.
23
0.86
2012
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