Jianan Chen

According to our database, Jianan Chen authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detecting Noisy Labels with Repeated Cross-Validations.

Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation.

Jianan Chen, Anne L. Martel

CoRR, 2023

Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes.

Alison M. Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen, Anne L. Martel, Arun Seth, Martin J. Yaffe

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

2022

Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling.

Jianan Chen, Anne L. Martel

CoRR, 2022

Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network.

Jianan Chen, Anne L. Martel

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021

Loss odyssey in medical image segmentation.

Jun Ma, Jianan Chen, Matthew Ng, Rui Huang, Yu Li, Chen Li, Xiaoping Yang, Anne L. Martel

Medical Image Anal., 2021

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.

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

CoRR, 2021

AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases.

Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation.

Jun Ma, Jianan Chen

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases.

Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel

CoRR, 2020

Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation.

Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang

CoRR, 2020

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study.

Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Chen Gaoxiang, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019

No-Reference Quality Assessment for Screen Content Images Based on Hybrid Region Features Fusion.

Linru Zheng, Liquan Shen, Jianan Chen, Ping An, Jun Luo

IEEE Trans. Multim., 2019

Multi-layer Domain Adaptation for Deep Convolutional Networks.

Ozan Ciga, Jianan Chen, Anne L. Martel

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model.

Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Naturalization Module in Neural Networks for Screen Content Image Quality Assessment.

Jianan Chen, Liquan Shen, Linru Zheng, Xuhao Jiang

IEEE Signal Process. Lett., 2018