Yuanhan Mo - RankMe

32 papers B 1Journal 22Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deformation-Recovery diffusion model (DRDM): Instance deformation for image manipulation and synthesis. Medical Image Anal. Jian-Qing Zheng, Yuanhan Mo, Yang Sun, Jiahua Li, Fuping Wu, Ziyang Wang, Tonia Vincent, Bartlomiej W. Papiez
2026	J	`jnl`	Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge. Medical Image Anal. Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025	J	`jnl`	Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. CoRR Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025	J	`jnl`	MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching. IEEE Trans. Medical Imaging Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2024	J	`jnl`	Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis. CoRR Jian-Qing Zheng, Yuanhan Mo, Yang Sun, Jiahua Li, Fuping Wu, Ziyang Wang, Tonia Vincent, Bartlomiej W. Papiez
2024	J	`jnl`	Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. Medical Image Anal. Yuanhan Mo, Fangde Liu, Guang Yang, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo
2024	—	`conf`	Spinal Osteophyte Detection Via Robust Patch Extraction on Minimally Annotated X-Rays. ISBI Soumya Snigdha Kundu, Yuanhan Mo, Nicharee Srikijkasemwat, Bartlomiej W. Papiez
2024	J	`jnl`	Spinal Osteophyte Detection via Robust Patch Extraction on minimally annotated X-rays. CoRR Soumya Snigdha Kundu, Yuanhan Mo, Nicharee Srikijkasemwat, Bartlomiej W. Papiez
2023	J	`jnl`	Multi-Task Cooperative Learning via Searching for Flat Minima. CoRR Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2023	—	`conf`	Multi-task Cooperative Learning via Searching for Flat Minima. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2023	J	`jnl`	Towards Automatic Scoring of Spinal X-ray for Ankylosing Spondylitis. CoRR Yuanhan Mo, Yao Chen, Aimee Readie, Gregory Ligozio, Thibaud Coroller, Bartlomiej W. Papiez
2023	J	`jnl`	VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray. CoRR Yao Chen, Yuanhan Mo, Aimee Readie, Gregory Ligozio, Indrajeet Mandal, Faiz Jabbar, Thibaud Coroller, Bartlomiej W. Papiez
2022	J	`jnl`	Suggestive Annotation of Brain MR Images with Gradient-guided Sampling. CoRR Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
2022	J	`jnl`	Suggestive annotation of brain MR images with gradient-guided sampling. Medical Image Anal. Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
2022	J	`jnl`	The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). CoRR Shuo Wang, Chen Qin, Chengyan Wang, Kang Wang, Haoran Wang, Chen Chen, Cheng Ouyang, Xutong Kuang, Chengliang Dai, Yuanhan Mo, Zhang Shi, Chenchen Dai, Xinrong Chen, He Wang, Wenjia Bai
2022	J	`jnl`	VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images. CoRR Yao Chen, Yuanhan Mo, Aimee Readie, Gregory Ligozio, Thibaud Coroller, Bartlomiej W. Papiez
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR 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, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
2020	—	`conf`	Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
2020	J	`jnl`	Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
2020	J	`jnl`	Efficient Deep Representation Learning by Adaptive Latent Space Sampling. CoRR Yuanhan Mo, Shuo Wang, Chengliang Dai, Rui Zhou, Zhongzhao Teng, Wenjia Bai, Yike Guo
2020	—	`conf`	Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (1) Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
2020	—	`conf`	Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. MICCAI (4) Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini, Yike Guo, Wenjia Bai
2020	J	`jnl`	Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling. CoRR Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
2019	—	`conf`	Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (2) Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
2019	J	`jnl`	Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. CoRR Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
2019	B	`conf`	SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. ICIP Simiao Yu, Hao Dong, Felix Liang, Yuanhan Mo, Chao Wu, Yike Guo
2019	—	`conf`	Transfer Learning from Partial Annotations for Whole Brain Segmentation. DART/MIL3ID@MICCAI Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
2019	J	`jnl`	Transfer Learning from Partial Annotations for Whole Brain Segmentation. CoRR Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai
2018	—	`conf`	The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. MICCAI (4) Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo
2017	—	`conf`	Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. MIUA Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo
2017	J	`jnl`	Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. CoRR Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo
2017	J	`jnl`	Deep Poincare Map For Robust Medical Image Segmentation. CoRR Yuanhan Mo, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, Yike Guo