Eric I-Chao Chang
Orcid: 0000-0002-9678-5994
According to our database1,
Eric I-Chao Chang
authored at least 44 papers
between 1995 and 2024.
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Bibliography
2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
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
Comput. Medical Imaging Graph., 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
IEEE Trans. Medical Imaging, 2020
IEEE J. Biomed. Health Informatics, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
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
BMC Bioinform., 2019
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
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Biomed. Eng., 2017
Pervasive Mob. Comput., 2017
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
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
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
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