Jianan Chen

20 papers Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Automated Radiomics Framework for Postoperative Survival Prediction in Colorectal Liver Metastases using Preoperative MRI.
CoRR
Muhammad Alberb, Jianan Chen, Hossam El-Rewaidy, Paul Karanicolas, Arun Seth, Yutaka Amemiya, Anne L. Martel, Helen Cheung
2025 — conf
Physics-Guided Deep Image Prior Network for General Zero-Shot Stain Deconvolution.
MICCAI (7)
Jianan Chen, Lydia Y. Liu, Wenchao Han, Alison M. Cheung, Hubert Tsui, Anne L. Martel
2024 — conf
Detecting Noisy Labels with Repeated Cross-Validations.
MICCAI (10)
Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel
2023 J jnl
Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation.
CoRR
Jianan Chen, Anne L. Martel
2023 — conf
Integrated image-processing and transcriptomic analysis of cancer-associated fibroblasts (CAFs) in breast cancer subtypes.
Digital and Computational Pathology
Alison M. Cheung, Hassan Besher, Dan Wang, Kela Liu, Yutaka Amemiya, Jianan Chen, Anne L. Martel, Arun Seth, Martin J. Yaffe
2022 — conf
Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network.
HECKTOR@MICCAI
Jianan Chen, Anne L. Martel
2022 J jnl
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling.
CoRR
Jianan Chen, Anne L. Martel
2021 — conf
AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases.
MICCAI (5)
Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel
2021 J jnl
Loss odyssey in medical image segmentation.
Medical Image Anal.
Jun Ma, Jianan Chen, Matthew Ng, Rui Huang, Yu Li, Chen Li, Xiaoping Yang, Anne L. Martel
2021 — conf
NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation.
BrainLes@MICCAI (1)
Jun Ma, Jianan Chen
2021 J jnl
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.
CoRR
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
2020 J jnl
AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases.
CoRR
Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel
2020 — conf
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study.
MIDL
Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Chen Gaoxiang, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
2020 J jnl
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation.
CoRR
Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang
2019 — conf
Multi-layer Domain Adaptation for Deep Convolutional Networks.
DART/MIL3ID@MICCAI
Ozan Ciga, Jianan Chen, Anne L. Martel
2019 J jnl
Multi-layer Domain Adaptation for Deep Convolutional Networks.
CoRR
Ozan Ciga, Jianan Chen, Anne L. Martel
2019 J jnl
No-Reference Quality Assessment for Screen Content Images Based on Hybrid Region Features Fusion.
IEEE Trans. Multim.
Linru Zheng, Liquan Shen, Jianan Chen, Ping An, Jun Luo
2019 — conf
Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model.
MICCAI (4)
Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel
2019 J jnl
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model.
CoRR
Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel
2018 J jnl
Naturalization Module in Neural Networks for Screen Content Image Quality Assessment.
IEEE Signal Process. Lett.
Jianan Chen, Liquan Shen, Linru Zheng, Xuhao Jiang