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ORCIDYuanhan Mo
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2020 – today
- 2024
[j2]Yuanhan Mo, Fangde Liu, Guang Yang
, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo:
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. Medical Image Anal. 95: 103196 (2024)- [c10]Soumya Snigdha Kundu, Yuanhan Mo, Nicharee Srikijkasemwat, Bartlomiej W. Papiez:
Spinal Osteophyte Detection Via Robust Patch Extraction on Minimally Annotated X-Rays. ISBI 2024: 1-5 - [i16]Soumya Snigdha Kundu, Yuanhan Mo, Nicharee Srikijkasemwat, Bartlomiej W. Papiez:
Spinal Osteophyte Detection via Robust Patch Extraction on minimally annotated X-rays. CoRR abs/2402.19263 (2024) - [i15]Jian-Qing Zheng, Yuanhan Mo, Yang Sun, Jiahua Li, Fuping Wu, Ziyang Wang, Tonia Vincent, Bartlomiej W. Papiez:
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis. CoRR abs/2407.07295 (2024) - 2023
- [c9]Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez:
Multi-task Cooperative Learning via Searching for Flat Minima. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 171-181 - [i14]Yao Chen, Yuanhan Mo, Aimee Readie, Gregory Ligozio, Indrajeet Mandal, Faiz Jabbar, Thibaud Coroller, Bartlomiej W. Papiez:
VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray. CoRR abs/2302.03476 (2023) - [i13]Yuanhan Mo, Yao Chen, Aimee Readie, Gregory Ligozio, Thibaud Coroller, Bartlomiej W. Papiez:
Towards Automatic Scoring of Spinal X-ray for Ankylosing Spondylitis. CoRR abs/2308.05123 (2023) - [i12]Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez:
Multi-Task Cooperative Learning via Searching for Flat Minima. CoRR abs/2309.12090 (2023) - 2022
- [j1]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive annotation of brain MR images with gradient-guided sampling. Medical Image Anal. 77: 102373 (2022) - [i11]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling. CoRR abs/2206.01014 (2022) - [i10]Yao Chen, Yuanhan Mo, Aimee Readie, Gregory Ligozio, Thibaud Coroller, Bartlomiej W. Papiez:
VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images. CoRR abs/2207.05476 (2022) - [i9]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:
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). CoRR abs/2210.06385 (2022) - 2021
- [i8]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:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [c8]Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (1) 2020: 514-523 - [c7]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) 2020: 88-97 - [c6]Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. MICCAI (4) 2020: 156-165 - [i7]Yuanhan Mo, Shuo Wang, Chengliang Dai, Rui Zhou, Zhongzhao Teng, Wenjia Bai, Yike Guo:
Efficient Deep Representation Learning by Adaptive Latent Space Sampling. CoRR abs/2004.02757 (2020) - [i6]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR abs/2006.13379 (2020) - [i5]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling. CoRR abs/2006.14984 (2020)
2010 – 2019
- 2019
- [c5]Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (2) 2019: 61-72 - [c4]Simiao Yu, Hao Dong, Felix Liang, Yuanhan Mo, Chao Wu, Yike Guo:
SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. ICIP 2019: 734-738 - [c3]Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. DART/MIL3ID@MICCAI 2019: 199-206 - [i4]Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. CoRR abs/1908.10851 (2019) - [i3]Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. CoRR abs/1911.08483 (2019) - 2018
- [c2]Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo:
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. MICCAI (4) 2018: 561-568 - 2017
- [c1]Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo:
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. MIUA 2017: 506-517 - [i2]Yuanhan Mo, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, Yike Guo:
Deep Poincare Map For Robust Medical Image Segmentation. CoRR abs/1703.09200 (2017) - [i1]Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo:
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. CoRR abs/1705.03820 (2017)
Coauthor Index
aka: Bartlomiej W. Papiez
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