Jianan Chen

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 15

Top Topics

Multiple Instance

Outcome Prediction

Tumor Segmentation

Quality Assessment

Top Venues

IEEE Signal Process. Lett.

Medical Image Anal.

Publications

Jianan Chen, Anne L. Martel
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling. CoRR (2022)
Jianan Chen, Anne L. Martel
Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network. HECKTOR@MICCAI (2022)
Jun Ma, Jianan Chen, Matthew Ng, Rui Huang, Yu Li, Chen Li, Xiaoping Yang, Anne L. Martel
Loss odyssey in medical image segmentation. Medical Image Anal. 71 (2021)
Fabian Balsiger, Alain Jungo, Naren Akash R. J, Jianan Chen, Ivan Ezhov, Shengnan Liu, Jun Ma, Johannes C. Paetzold, Vishva Saravanan R, Anjany Sekuboyina, Suprosanna Shit, Yannick Suter, Moshood Yekini, Guodong Zeng, Markus Rempfler
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. CoRR (2021)
Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel
AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases. MICCAI (5) (2021)
Jun Ma, Jianan Chen
NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel
AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases. CoRR (2020)
Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Chen Gaoxiang, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study. MIDL (2020)
Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation. CoRR (2020)
Ozan Ciga, Jianan Chen, Anne L. Martel
Multi-layer Domain Adaptation for Deep Convolutional Networks. CoRR (2019)
Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model. CoRR (2019)
Ozan Ciga, Jianan Chen, Anne L. Martel
Multi-layer Domain Adaptation for Deep Convolutional Networks. DART/MIL3ID@MICCAI (2019)
Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel
Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model. MICCAI (4) (2019)
Linru Zheng, Liquan Shen, Jianan Chen, Ping An, Jun Luo
No-Reference Quality Assessment for Screen Content Images Based on Hybrid Region Features Fusion. IEEE Trans. Multim. 21 (8) (2019)
Jianan Chen, Liquan Shen, Linru Zheng, Xuhao Jiang
Naturalization Module in Neural Networks for Screen Content Image Quality Assessment. IEEE Signal Process. Lett. 25 (11) (2018)