Dashan Gao

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 27

Top Topics

Convolutional Neural Networks

Incremental Learning

Cancer Detection

Organ Segmentation

Top Venues

Medical Imaging: Image Processing

Publications

Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang
MobileInst: Video Instance Segmentation on the Mobile. AAAI (2024)
Zhiyuan Hu, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos
POP: Prompt Of Prompts for Continual Learning. CoRR (2023)
Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos
Dense Network Expansion for Class Incremental Learning. CoRR (2023)
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman
High-resolution 3D abdominal segmentation with random patch network fusion. Medical Image Anal. 69 (2021)
Yucheng Tang, Riqiang Gao, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman
Body Part Regression With Self-Supervision. IEEE Trans. Medical Imaging 40 (5) (2021)
Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Validation and optimization of multi-organ segmentation on clinical imaging archives. Medical Imaging: Image Processing (2020)
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Contrast phase classification with a generative adversarial network. Medical Imaging: Image Processing (2020)
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass
Finding novelty with uncertainty. CoRR (2020)
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Outlier guided optimization of abdominal segmentation. Medical Imaging: Image Processing (2020)
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass
Validating uncertainty in medical image translation. CoRR (2020)
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Semi-supervised multi-organ segmentation through quality assurance supervision. Medical Imaging: Image Processing (2020)
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives. CoRR (2020)
Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos
Volumetric Attention for 3D Medical Image Segmentation and Detection. CoRR (2020)
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass
Finding novelty with uncertainty. Medical Imaging: Image Processing (2020)
Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou
Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs. ISBI (2020)
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Outlier Guided Optimization of Abdominal Segmentation. CoRR (2020)
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass
Validating Uncertainty in Medical Image Translation. ISBI (2020)
Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
Towards Universal Object Detection by Domain Attention. CoRR (2019)
Tianyi Zhao, Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen, Yunxiang Mao
Bronchus Segmentation and Classification by Neural Networks and Linear Programming. MICCAI (6) (2019)
Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, J. Jeffrey Carr, Richard G. Abramson, Bennett A. Landman
Stochastic tissue window normalization of deep learning on computed tomography. CoRR (2019)
Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos
Volumetric Attention for 3D Medical Image Segmentation and Detection. MICCAI (6) (2019)
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision. CoRR (2019)
Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
Towards Universal Object Detection by Domain Attention. CVPR (2019)
Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou
Breast Mass Detection in Mammograms via Blending Adversarial Learning. SASHIMI@MICCAI (2019)
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Contrast Phase Classification with a Generative Adversarial Network. CoRR (2019)
Tianyi Zhao, Dashan Gao, Jiao Wang, Zhaozheng Yin
Lung segmentation in CT images using a fully convolutional neural network with multi-instance and conditional adversary loss. ISBI (2018)
Yunzhi Wang, Bin Zheng, Dashan Gao, Jiao Wang
Fully convolutional neural networks for prostate cancer detection using multi-parametric magnetic resonance images: an initial investigation. ICPR (2018)
Mandar Dixit, Si Chen, Dashan Gao, Nikhil Rasiwasia, Nuno Vasconcelos
Scene classification with semantic Fisher vectors. CVPR (2015)
Dashan Gao, Sunhyoung Han, Nuno Vasconcelos
Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31 (6) (2009)
Dashan Gao, Nuno Vasconcelos
Decision-Theoretic Saliency: Computational Principles, Biological Plausibility, and Implications for Neurophysiology and Psychophysics. Neural Comput. 21 (1) (2009)
Dashan Gao, Nuno Vasconcelos
An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and Discrimination. WAPCV (2007)
Dashan Gao, Nuno Vasconcelos
Discriminant Interest Points are Stable. CVPR (2007)
Dashan Gao, Nuno Vasconcelos
Bottom-up saliency is a discriminant process. ICCV (2007)
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos
The discriminant center-surround hypothesis for bottom-up saliency. NIPS (2007)
Dashan Gao, Yizhou Wang, Haitham A. Hindi, Minh Do
Decompose Document Image Using Integer Linear Programming. ICDAR (2007)
Dashan Gao, Yizhou Wang
Decomposing Document Images by Heuristic Search. EMMCVPR (2007)
Dashan Gao, Nuno Vasconcelos
An Experimental Comparison of Three Guiding Principles for the Detection Salient Image Locations: Stability, Complexity, and Discrimination. CVPR Workshops (2005)
Dashan Gao, Nuno Vasconcelos
Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes. CVPR (2) (2005)
Dashan Gao, Nuno Vasconcelos
Discriminant Saliency for Visual Recognition from Cluttered Scenes. NIPS (2004)