Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. - Hao Dong 003; Guang Yang 006; Fangde Liu; Yuanhan Mo; Yike Guo (MIUA, 2017)

Deep Poincare Map For Robust Medical Image Segmentation. - Yuanhan Mo; Fangde Liu; Jingqing Zhang; Guang Yang 006; Taigang He; Yike Guo (CoRR, 2017)

The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. - Yuanhan Mo; Fangde Liu; Douglas McIlwraith; Guang Yang 006; Jingqing Zhang; Taigang He; Yike Guo (MICCAI (4), 2018)

Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. - Shuo Wang 011; Chengliang Dai; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (BrainLes@MICCAI (2), 2019)

SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. - Simiao Yu; Hao Dong 003; Felix Liang; Yuanhan Mo; Chao Wu 001; Yike Guo (ICIP, 2019)

Transfer Learning from Partial Annotations for Whole Brain Segmentation. - Chengliang Dai; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (DART/MIL3ID@MICCAI, 2019)

Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. - Chengliang Dai; Shuo Wang 011; Hadrien Raynaud; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (BrainLes@MICCAI (1), 2020)

Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. - Chengliang Dai; Shuo Wang 011; Yuanhan Mo; Kaichen Zhou; Elsa D. Angelini; Yike Guo; Wenjia Bai (MICCAI (4), 2020)

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. - Shuo Wang 011; Giacomo Tarroni; Chen Qin; Yuanhan Mo; Chengliang Dai; Chen Chen 042; Ben Glocker; Yike Guo; Daniel Rueckert; Wenjia Bai (MICCAI (4), 2020)

Efficient Deep Representation Learning by Adaptive Latent Space Sampling. - Yuanhan Mo; Shuo Wang 011; Chengliang Dai; Rui Zhou; Zhongzhao Teng; Wenjia Bai; Yike Guo (CoRR, 2020)

Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling. - Chengliang Dai; Shuo Wang 011; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (CoRR, 2020)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images. - Yao Chen; Yuanhan Mo; Aimee Readie; Gregory Ligozio; Thibaud Coroller; Bartlomiej W. Papiez (CoRR, 2022)

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). - Shuo Wang 011; Chen Qin; Chengyan Wang; Kang Wang 004; Haoran Wang 009; Chen Chen 042; Cheng Ouyang; Xutong Kuang; Chengliang Dai; Yuanhan Mo; Zhang Shi; Chenchen Dai; et al. (CoRR, 2022)

Suggestive annotation of brain MR images with gradient-guided sampling. - Chengliang Dai; Shuo Wang 011; Yuanhan Mo; Elsa D. Angelini; Yike Guo; Wenjia Bai (Medical Image Anal., 2022)

Multi-task Cooperative Learning via Searching for Flat Minima. - Fuping Wu; Le Zhang 005; Yang Sun 003; Yuanhan Mo; Thomas E. Nichols; Bartlomiej W. Papiez (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray. - Yao Chen; Yuanhan Mo; Aimee Readie; Gregory Ligozio; Indrajeet Mandal; Faiz Jabbar; Thibaud Coroller; Bartlomiej W. Papiez (CoRR, 2023)

Towards Automatic Scoring of Spinal X-ray for Ankylosing Spondylitis. - Yuanhan Mo; Yao Chen; Aimee Readie; Gregory Ligozio; Thibaud Coroller; Bartlomiej W. Papiez (CoRR, 2023)

NHANES II Spinal X-ray with Extra Labels For Reference Vertebral Bodies (C2, S1). - Yuanhan Mo; Bartlomiej W. Papiez; Yao Chen; Indrajeet Mandal; Jabbra Faiz (Zenodo, 2023)

NHANES II Spinal X-ray with Extra Labels For Reference Vertebral Bodies (C2, S1). - Yuanhan Mo; Bartlomiej W. Papiez; Yao Chen; Indrajeet Mandal; Jabbra Faiz (Zenodo, 2023)

Spinal Osteophyte Detection Via Robust Patch Extraction on Minimally Annotated X-Rays. - Soumya Snigdha Kundu; Yuanhan Mo; Nicharee Srikijkasemwat; Bartlomiej W. Papiez (ISBI, 2024)

Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis. - Jian-Qing Zheng; Yuanhan Mo; Yang Sun 003; Jiahua Li; Fuping Wu; Ziyang Wang; Tonia Vincent; Bartlomiej W. Papiez (CoRR, 2024)

Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. - Yuanhan Mo; Fangde Liu; Guang Yang 006; Shuo Wang 011; Jian-Qing Zheng; Fuping Wu; Bartlomiej W. Papiez; Douglas McIlwraith; Taigang He; Yike Guo (Medical Image Anal., 2024)

MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching. - Fuping Wu; Le Zhang 005; Yang Sun 003; Yuanhan Mo; Thomas E. Nichols; Bartlomiej W. Papiez (IEEE Trans. Medical Imaging, 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)