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Eric I-Chao Chang
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2020 – today
- 2024
- [c15]Sicong Shen, Yang Zhou, Bingzheng Wei, Eric I-Chao Chang, Yan Xu:
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning. CVPR 2024: 28474-28484 - [c14]Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang:
Exploring Diffusion Time-steps for Unsupervised Representation Learning. ICLR 2024 - [i21]Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang:
Exploring Diffusion Time-steps for Unsupervised Representation Learning. CoRR abs/2401.11430 (2024) - 2023
- [j23]Kailu Li, Ziniu Qian, Yingnan Han, Eric I-Chao Chang
, Bingzheng Wei
Weakly supervised histopathology image segmentation with self-attention. Medical Image Anal. 86: 102791 (2023) - [c13]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 - [i20]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 abs/2310.18652 (2023) - 2022
- [j22]Yang Zhou
3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis. IEEE Trans. Medical Imaging 41(8): 2092-2104 (2022) - [c12]Ziniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei
Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation. MICCAI (2) 2022: 160-170 - [i19]Ziniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei
Transformer based multiple instance learning for weakly supervised histopathology image segmentation. CoRR abs/2205.08878 (2022) - [i18]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 abs/2205.08887 (2022) - 2021
- [j21]Yeshu Li
Whole brain segmentation with full volume neural network. Comput. Medical Imaging Graph. 93: 101991 (2021) - [c11]Shengyu Zhao, Jonathan Cui
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks. ICLR 2021 - [i17]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 abs/2103.10428 (2021) - [i16]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 abs/2110.15601 (2021) - 2020
- [j20]Shengyu Zhao
Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network. IEEE J. Biomed. Health Informatics 24(5): 1394-1404 (2020) - [j19]Jirí Borovec
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020) - [c10]Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask. CVPR 2020: 6277-6286 - [c9]Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu
Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. ISBI 2020: 169-173 - [c8]Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu
Microscopic Fine-Grained Instance Classification Through Deep Attention. MICCAI (5) 2020: 490-499 - [i15]Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu:
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask. CoRR abs/2003.10955 (2020) - [i14]Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher:
Microscopic fine-grained instance classification through deep attention. CoRR abs/2010.02818 (2020)
2010 – 2019
- 2019
- [j18]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): 430:1-430:11 (2019) - [j17]Chunhui Liu
Wound area measurement with 3D transformation and smartphone images. BMC Bioinform. 20(1): 724 (2019) - [j16]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): 1316-1328 (2019) - [c7]Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu
Recursive Cascaded Networks for Unsupervised Medical Image Registration. ICCV 2019: 10599-10609 - [i13]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 abs/1902.05020 (2019) - [i12]Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu:
Recursive Cascaded Networks for Unsupervised Medical Image Registration. CoRR abs/1907.12353 (2019) - 2018
- [j15]Xin Zhang, Weixuan Kou
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device. Comput. Biol. Medicine 103: 71-81 (2018) - [j14]Yan Xu
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble. Signal Process. Image Commun. 60: 131-143 (2018) - [i11]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 abs/1801.06940 (2018) - [i10]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 abs/1807.08284 (2018) - 2017
- [j13]Yan Xu
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features. BMC Bioinform. 18(1): 281:1-281:17 (2017) - [j12]Yan Xu
Parallel multiple instance learning for extremely large histopathology image analysis. BMC Bioinform. 18(1): 360 (2017) - [j11]Yan Xu
Learning multi-level features for sensor-based human action recognition. Pervasive Mob. Comput. 40: 324-338 (2017) - [j10]Yan Xu
Gland Instance Segmentation Using Deep Multichannel Neural Networks. IEEE Trans. Biomed. Eng. 64(12): 2901-2912 (2017) - [j9]Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang, Yan Xu
Constrained Deep Weak Supervision for Histopathology Image Segmentation. IEEE Trans. Medical Imaging 36(11): 2376-2388 (2017) - [i9]Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang, Yan Xu:
Constrained Deep Weak Supervision for Histopathology Image Segmentation. CoRR abs/1701.00794 (2017) - [i8]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 abs/1711.00629 (2017) - [i7]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 abs/1711.08608 (2017) - [i6]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 abs/1711.11317 (2017) - 2016
- [c6]Yan Xu
Gland Instance Segmentation by Deep Multichannel Side Supervision. MICCAI (2) 2016: 496-504 - [i5]Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Maode Lai, Eric I-Chao Chang:
Gland Instance Segmentation by Deep Multichannel Side Supervision. CoRR abs/1607.03222 (2016) - [i4]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 abs/1607.04889 (2016) - [i3]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 abs/1611.06159 (2016) - [i2]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 abs/1611.06661 (2016) - [i1]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 abs/1611.07143 (2016) - 2015
- [j8]Yan Xu
Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary. BMC Bioinform. 16: 149:1-149:10 (2015) - [j7]Yan Xu
A two-layer structure prediction framework for microscopy cell detection. Comput. Medical Imaging Graph. 41: 29-36 (2015) - [j6]Jun-Yan Zhu, Jiajun Wu, Yan Xu
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 862-875 (2015) - [c5]Yan Xu
Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation. ICASSP 2015: 947-951 - 2014
- [j5]Yan Xu
Weakly supervised histopathology cancer image segmentation and classification. Medical Image Anal. 18(3): 591-604 (2014) - [c4]Yan Xu
Deep learning of feature representation with multiple instance learning for medical image analysis. ICASSP 2014: 1626-1630 - 2013
- [j4]Yan Xu
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge. J. Am. Medical Informatics Assoc. 20(5): 849-858 (2013) - 2012
- [j3]Yan Xu
Named entity recognition of follow-up and time information in 20 000 radiology reports. J. Am. Medical Informatics Assoc. 19(5): 792-799 (2012) - [j2]Yan Xu
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): 824-832 (2012) - [j1]Yan Xu
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge. J. Am. Medical Informatics Assoc. 19(5): 897-905 (2012) - [c3]Yan Xu
Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. CVPR 2012: 964-971 - [c2]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: 3218-3225 - [c1]Yan Xu
Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation. MICCAI (3) 2012: 623-630
1990 – 1999
- 1995
- [b1]Eric I-Chao Chang:
Improving wordspotting performance with limited training data. Massachusetts Institute of Technology, Cambridge, MA, USA, 1995
Coauthor Index
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