Naturalization Module in Neural Networks for Screen Content Image Quality Assessment. - Jianan Chen 001; Liquan Shen; Linru Zheng; Xuhao Jiang (IEEE Signal Process. Lett., 2018)

Unsupervised Clustering of Quantitative Imaging Phenotypes Using Autoencoder and Gaussian Mixture Model. - Jianan Chen 001; Laurent Milot; Helen M. C. Cheung; Anne L. Martel (MICCAI (4), 2019)

Multi-layer Domain Adaptation for Deep Convolutional Networks. - Ozan Ciga; Jianan Chen 001; Anne L. Martel (DART/MIL3ID@MICCAI, 2019)

No-Reference Quality Assessment for Screen Content Images Based on Hybrid Region Features Fusion. - Linru Zheng; Liquan Shen; Jianan Chen 001; Ping An; Jun Luo 006 (IEEE Trans. Multim., 2019)

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study. - Jun Ma 016; Zhan Wei; Yiwen Zhang; Yixin Wang 003; Rongfei Lv; Cheng Zhu; Chen Gaoxiang; Jianan Liu; Chao Peng; Lei Wang; Yunpeng Wang; Jianan Chen 001 (MIDL, 2020)

Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation. - Jun Ma 016; Yixin Wang 003; Xingle An; Cheng Ge; Ziqi Yu; Jianan Chen 001; Qiongjie Zhu; Guoqiang Dong; Jian He; Zhiqiang He 002; Ziwei Nie; Xiaoping Yang 001 (CoRR, 2020)

AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases. - Jianan Chen 001; Helen M. C. Cheung; Laurent Milot; Anne L. Martel (CoRR, 2020)

NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation. - Jun Ma 016; Jianan Chen 001 (BrainLes@MICCAI (1), 2021)

AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases. - Jianan Chen 001; Helen M. C. Cheung; Laurent Milot; Anne L. Martel (MICCAI (5), 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 001; Ivan Ezhov; Shengnan Liu; Jun Ma 016; Johannes C. Paetzold; Vishva Saravanan R; Anjany Sekuboyina; Suprosanna Shit; Yannick Suter; et al. (CoRR, 2021)

Loss odyssey in medical image segmentation. - Jun Ma 016; Jianan Chen 001; Matthew Ng; Rui Huang; Yu Li; Chen Li; Xiaoping Yang 001; Anne L. Martel (Medical Image Anal., 2021)

Head and Neck Tumor Segmentation with 3D UNet and Survival Prediction with Multiple Instance Neural Network. - Jianan Chen 001; Anne L. Martel (HECKTOR@MICCAI, 2022)

Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling. - Jianan Chen 001; Anne L. Martel (CoRR, 2022)

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 001; Anne L. Martel; Arun Seth; Martin J. Yaffe (Digital and Computational Pathology, 2023)

Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation. - Jianan Chen 001; Anne L. Martel (CoRR, 2023)

Detecting Noisy Labels with Repeated Cross-Validations. - Jianan Chen 001; Vishwesh Ramanathan; Tony Xu; Anne L. Martel (MICCAI (10), 2024)