Eric I-Chao Chang

Orcid: 0000-0002-9678-5994

According to our database1, Eric I-Chao Chang authored at least 43 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Exploring Diffusion Time-steps for Unsupervised Representation Learning.
CoRR, 2024

2023
Weakly supervised histopathology image segmentation with self-attention.
Medical Image Anal., May, 2023

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis.
IEEE Trans. Medical Imaging, 2022

Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Whole brain segmentation with full volume neural network.
Comput. Medical Imaging Graph., 2021

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.
IEEE Trans. Medical Imaging, 2020

Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network.
IEEE J. Biomed. Health Informatics, 2020

Microscopic Fine-Grained Instance Classification Through Deep Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, 2019

Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries.
BMC Bioinform., 2019

Wound area measurement with 3D transformation and smartphone images.
BMC Bioinform., 2019

Recursive Cascaded Networks for Unsupervised Medical Image Registration.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble.
Signal Process. Image Commun., 2018

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR, 2018

MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation.
CoRR, 2018

Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device.
Comput. Biol. Medicine, 2018

2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation.
IEEE Trans. Medical Imaging, 2017

Gland Instance Segmentation Using Deep Multichannel Neural Networks.
IEEE Trans. Biomed. Eng., 2017

Learning multi-level features for sensor-based human action recognition.
Pervasive Mob. Comput., 2017

Unsupervised End-to-end Learning for Deformable Medical Image Registration.
CoRR, 2017

Parallel multiple instance learning for extremely large histopathology image analysis.
BMC Bioinform., 2017

Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
BMC Bioinform., 2017

2016
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance.
CoRR, 2016

Gland Instance Segmentation by Deep Multichannel Neural Networks.
CoRR, 2016

Gland Instance Segmentation by Deep Multichannel Side Supervision.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

A two-layer structure prediction framework for microscopy cell detection.
Comput. Medical Imaging Graph., 2015

Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary.
BMC Bioinform., 2015

Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Weakly supervised histopathology cancer image segmentation and classification.
Medical Image Anal., 2014

Deep learning of feature representation with multiple instance learning for medical image analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge.
J. Am. Medical Informatics Assoc., 2013

2012
Named entity recognition of follow-up and time information in 20 000 radiology reports.
J. Am. Medical Informatics Assoc., 2012

A classification approach to coreference in discharge summaries: 2011 i2b2 challenge.
J. Am. Medical Informatics Assoc., 2012

Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.
J. Am. Medical Informatics Assoc., 2012

Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Unsupervised object class discovery via saliency-guided multiple class learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

1995
Improving wordspotting performance with limited training data.
PhD thesis, 1995


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