Eric I-Chao Chang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 48

Top Venues

CoRR

BMC Bioinform.

IEEE Trans. Medical Imaging

IEEE J. Biomed. Health Informatics

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang
Exploring Diffusion Time-steps for Unsupervised Representation Learning. CoRR (2024)
Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images. NeurIPS (2023)
Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric I-Chao Chang, Tackeun Kim, Edward Choi
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images. CoRR (2023)
Kailu Li, Ziniu Qian, Yingnan Han, Eric I-Chao Chang, Bingzheng Wei, Maode Lai, Jing Liao, Yubo Fan, Yan Xu
Weakly supervised histopathology image segmentation with self-attention. Medical Image Anal. 86 (2023)
Yang Zhou, Zhiwen Yang, Hui Zhang, Eric I-Chao Chang, Yubo Fan, Yan Xu
3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis. CoRR (2022)
Ziniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei, Yubo Fan, Yan Xu
Transformer based multiple instance learning for weakly supervised histopathology image segmentation. CoRR (2022)
Ziniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei, Yubo Fan, Yan Xu
Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation. MICCAI (2) (2022)
Yang Zhou, Zhiwen Yang, Hui Zhang, Eric I-Chao Chang, Yubo Fan, Yan Xu
3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis. IEEE Trans. Medical Imaging 41 (8) (2022)
Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu
Whole brain segmentation with full volume neural network. Comput. Medical Imaging Graph. 93 (2021)
Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I-Chao Chang, Yan Xu
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks. CoRR (2021)
Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu
Whole Brain Segmentation with Full Volume Neural Network. CoRR (2021)
Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I-Chao Chang, Yan Xu
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks. ICLR (2021)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Microscopic fine-grained instance classification through deep attention. CoRR (2020)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Microscopic Fine-Grained Instance Classification Through Deep Attention. MICCAI (5) (2020)
Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39 (10) (2020)
Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask. CVPR (2020)
Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask. CoRR (2020)
Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher
Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. ISBI (2020)
Shengyu Zhao, Ting Fung Lau, Ji Luo, Eric I-Chao Chang, Yan Xu
Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network. IEEE J. Biomed. Health Informatics 24 (5) (2020)
Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu
Recursive Cascaded Networks for Unsupervised Medical Image Registration. ICCV (2019)
Ting Fung Lau, Ji Luo, Shengyu Zhao, Eric I-Chao Chang, Yan Xu
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network. CoRR (2019)
Chunhui Liu, Xingyu Fan, Zhizhi Guo, Zhongjun Mo, Eric I-Chao Chang, Yan Xu
Wound area measurement with 3D transformation and smartphone images. BMC Bioinform. 20 (1) (2019)
Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu
Recursive Cascaded Networks for Unsupervised Medical Image Registration. CoRR (2019)
Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu
Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Yipei Wang, Xingyu Fan, Luoxin Chen, Eric I-Chao Chang, Sophia Ananiadou, Junichi Tsujii, Yan Xu
Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries. BMC Bioinform. 20 (1) (2019)
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR (2018)
Xin Zhang, Weixuan Kou, Eric I-Chao Chang, He Gao, Yubo Fan, Yan Xu
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device. Comput. Biol. Medicine 103 (2018)
Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric I-Chao Chang, Yan Xu
MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation. CoRR (2018)
Yan Xu, Siyuan Shan, Ziming Qiu, Zhipeng Jia, Zhengyang Shen, Yipei Wang, Mengfei Shi, Eric I-Chao Chang
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble. Signal Process. Image Commun. 60 (2018)
Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric I-Chao Chang
Learning multi-level features for sensor-based human action recognition. Pervasive Mob. Comput. 40 (2017)
Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang, Yan Xu
Constrained Deep Weak Supervision for Histopathology Image Segmentation. IEEE Trans. Medical Imaging 36 (11) (2017)
Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric I-Chao Chang
Gland Instance Segmentation Using Deep Multichannel Neural Networks. IEEE Trans. Biomed. Eng. 64 (12) (2017)
Xin Zhang, Weixuan Kou, Eric I-Chao Chang, He Gao, Yubo Fan, Yan Xu
Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device. CoRR (2017)
Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features. BMC Bioinform. 18 (1) (2017)
Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric I-Chao Chang
Parallel multiple instance learning for extremely large histopathology image analysis. BMC Bioinform. 18 (1) (2017)
Siyuan Shan, Xiaoqing Guo, Wen Yan, Eric I-Chao Chang, Yubo Fan, Yan Xu
Unsupervised End-to-end Learning for Deformable Medical Image Registration. CoRR (2017)
Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang, Yan Xu
Constrained Deep Weak Supervision for Histopathology Image Segmentation. CoRR (2017)
Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks. CoRR (2017)
Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Maode Lai, Eric I-Chao Chang
Gland Instance Segmentation by Deep Multichannel Side Supervision. MICCAI (2) (2016)
Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric I-Chao Chang
Learning Multi-level Features For Sensor-based Human Action Recognition. CoRR (2016)
Yan Xu, Siyuan Shan, Ziming Qiu, Zhipeng Jia, Zhengyang Shen, Yipei Wang, Mengfei Shi, Eric I-Chao Chang
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance. CoRR (2016)
Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Yubo Fan, Maode Lai, Eric I-Chao Chang
Gland Instance Segmentation by Deep Multichannel Neural Networks. CoRR (2016)
Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Maode Lai, Eric I-Chao Chang
Gland Instance Segmentation by Deep Multichannel Side Supervision. CoRR (2016)
Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric I-Chao Chang
Gland Instance Segmentation Using Deep Multichannel Neural Networks. CoRR (2016)
Yan Xu, Luoxin Chen, Junsheng Wei, Sophia Ananiadou, Yubo Fan, Yi Qian, Eric I-Chao Chang, Jun'ichi Tsujii
Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary. BMC Bioinform. 16 (2015)
Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37 (4) (2015)
Yan Xu, Weiying Wu, Eric I-Chao Chang, Danny Ziyi Chen, Jian Mu, Peter P. Lee, Kim R. M. Blenman, Zhuowen Tu
A two-layer structure prediction framework for microscopy cell detection. Comput. Medical Imaging Graph. 41 (2015)
Yan Xu, Zhipeng Jia, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang
Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation. ICASSP (2015)
Yan Xu, Tao Mo, Qiwei Feng, Peilin Zhong, Maode Lai, Eric I-Chao Chang
Deep learning of feature representation with multiple instance learning for medical image analysis. ICASSP (2014)
Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Maode Lai, Zhuowen Tu
Weakly supervised histopathology cancer image segmentation and classification. Medical Image Anal. 18 (3) (2014)
Yan Xu, Yining Wang, Tianren Liu, Junichi Tsujii, Eric I-Chao Chang
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge. J. Am. Medical Informatics Assoc. 20 (5) (2013)
Yan Xu, Junichi Tsujii, Eric I-Chao Chang
Named entity recognition of follow-up and time information in 20 000 radiology reports. J. Am. Medical Informatics Assoc. 19 (5) (2012)
Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu
Unsupervised object class discovery via saliency-guided multiple class learning. CVPR (2012)
Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric I-Chao Chang
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge. J. Am. Medical Informatics Assoc. 19 (5) (2012)
Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu
Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. CVPR (2012)
Yan Xu, Jianwen Zhang, Eric I-Chao Chang, Maode Lai, Zhuowen Tu
Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation. MICCAI (3) (2012)
Yan Xu, Kai Hong, Junichi Tsujii, Eric I-Chao Chang
Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries. J. Am. Medical Informatics Assoc. 19 (5) (2012)

Eric I-Chao Chang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

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Eric I-Chao Chang