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ORCIDJianan Chen 0001
Person information
- affiliation: University of Toronto, Department of Medical Biophysics, ON, Canada
- affiliation: Shanghai University, Shanghai Institute for Advanced Communication and Data Science, China
Other persons with the same name
- Jianan Chen — disambiguation page
- Jianan Chen 0002 — INSA Rennes, CNRS, IETR-UMR, France (and 1 more)
- Jianan Chen 0003 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Jianan Chen 0004 — Chinese Academy of Sciences, Institute of Semiconductors, Optoelectronic System Laboratory, Beijing, China
- Jianan Chen 0005 — Guilin University of Electronic Technology, School of Arts and Design, China
- Jianan Chen 0006 — Jilin University, College of Computer Science and Technology, MOE Key Laboratory for Symbol Computation and Knowledge Engineering, China
- Jianan Chen 0007
![[0000-0002-6379-8561]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6379-8561")
— Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Key Laboratory of Electromagnetic Engineering and Technology, Wuhan, China - Jianan Chen 0008 — Beijing Electronic Science and Technology Institute, Department of Electronics and Communication Engineering, China
- Jianan Chen 0009 — Indiana University-Purdue University Indianapolis, IN, USA
- Jianan Chen 0010 — Beijing University of Posts and Telecommunications, The State Key Laboratory of Networking and Switching Technology, China
Other persons with a similar name
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2020 – today
- 2024
[c8]Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel:
Detecting Noisy Labels with Repeated Cross-Validations. MICCAI (10) 2024: 197-207- 2023
- [c7]Alison M. Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen, Anne L. Martel, Arun Seth, Martin J. Yaffe:
Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes. Digital and Computational Pathology 2023 - [i7]Jianan Chen, Anne L. Martel:
Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation. CoRR abs/2306.13990 (2023) - 2022
- [c6]Jianan Chen, Anne L. Martel:
Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network. HECKTOR@MICCAI 2022: 221-229 - [i6]Jianan Chen, Anne L. Martel:
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling. CoRR abs/2203.04964 (2022) - 2021
- [j3]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: 102035 (2021) - [c5]Jun Ma, Jianan Chen:
NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 421-430 - [c4]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: 752-761 - [i5]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 abs/2103.05437 (2021) - 2020
- [c3]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: 479-492 - [i4]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 abs/2004.12537 (2020) - [i3]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 abs/2012.06875 (2020)
2010 – 2019
- 2019
- [j2]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): 2057-2070 (2019) - [c2]Ozan Ciga, Jianan Chen, Anne L. Martel:
Multi-layer Domain Adaptation for Deep Convolutional Networks. DART/MIL3ID@MICCAI 2019: 20-27 - [c1]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: 575-582 - [i2]Ozan Ciga, Jianan Chen, Anne L. Martel:
Multi-layer Domain Adaptation for Deep Convolutional Networks. CoRR abs/1909.02620 (2019) - [i1]Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel:
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model. CoRR abs/1909.02953 (2019) - 2018
- [j1]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): 1685-1689 (2018)
Coauthor Index
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