Haoran Dou

According to our database, Haoran Dou authored at least 44 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Integrating behavioral and neurophysiological insights: High trait anxiety enhances observational fear learning.

Xianchao Ming, Ganzhong Luo, Jinxia Wang, Haoran Dou, Hong Li, Yi Lei

NeuroImage, 2025

2024

Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification.

Xinrui Zhou, Yuhao Huang, Haoran Dou, Shijing Chen, Ao Chang, Jia Liu, Weiran Long, Jian Zheng, Erjiao Xu, Jie Ren, Ruobing Huang, Jun Cheng, Wufeng Xue, Dong Ni

CoRR, 2024

Robust Box Prompt Based SAM for Medical Image Segmentation.

Yuhao Huang, Xin Yang, Han Zhou, Yan Cao, Haoran Dou, Fajin Dong, Dong Ni

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models.

Xinrui Zhou, Yuhao Huang, Wufeng Xue, Haoran Dou, Jun Cheng, Han Zhou, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI.

Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation.

Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning.

Fengming Lin, Yan Xia, Yash Deo, Michael MacRaild, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries.

Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model.

Nina Cheng, Zhengji Liu, Yash Deo, Haoran Dou, Ning Bi, Kun Wu, Fengming Lin, Zeike A. Taylor, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Test-time bi-directional adaptation between image and model for robust segmentation.

Xiaoqiong Huang, Xin Yang, Haoran Dou, Yuhao Huang, Li Zhang, Zhendong Liu, Zhongnuo Yan, Lian Liu, Yuxin Zou, Xindi Hu, Rui Gao, Yuanji Zhang, Yi Xiong, Wufeng Xue, Dong Ni

Comput. Methods Programs Biomed., May, 2023

RecON: Online learning for sensorless freehand 3D ultrasound reconstruction.

Mingyuan Luo, Xin Yang, Hongzhang Wang, Haoran Dou, Xindi Hu, Yuhao Huang, Nishant Ravikumar, Songcheng Xu, Yuanji Zhang, Yi Xiong, Wufeng Xue, Alejandro F. Frangi, Dong Ni, Litao Sun

Medical Image Anal., 2023

Learned Local Attention Maps for Synthesising Vessel Segmentations.

Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila

CoRR, 2023

Fourier Test-Time Adaptation with Multi-level Consistency for Robust Classification.

Yuhao Huang, Xin Yang, Xiaoqiong Huang, Xinrui Zhou, Haozhe Chi, Haoran Dou, Xindi Hu, Jian Wang, Xuedong Deng, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis.

Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy.

Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration.

Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature.

Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI.

Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

2022

Boundary-rendering network for breast lesion segmentation in ultrasound images.

Ruobing Huang, Mingrong Lin, Haoran Dou, Zehui Lin, Qilong Ying, Xiaohong Jia, Wenwen Xu, Zihan Mei, Xin Yang, Yijie Dong, Jianqiao Zhou, Dong Ni

Medical Image Anal., 2022

A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras.

Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi

CoRR, 2022

Medical Image Segmentation Using Transformer Networks.

Davood Karimi, Haoran Dou, Ali Gholipour

IEEE Access, 2022

Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound.

Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Online Reflective Learning for Robust Medical Image Segmentation.

Yuhao Huang, Xin Yang, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework.

Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Agent With Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound.

Xin Yang, Haoran Dou, Ruobing Huang, Wufeng Xue, Yuhao Huang, Jikuan Qian, Yuanji Zhang, Huanjia Luo, Huizhi Guo, Tianfu Wang, Yi Xiong, Dong Ni

IEEE Trans. Medical Imaging, 2021

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.

Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour

IEEE Trans. Medical Imaging, 2021

Searching collaborative agents for multi-plane localization in 3D ultrasound.

Xin Yang, Yuhao Huang, Ruobing Huang, Haoran Dou, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Chaoyu Chen, Yuanji Zhang, Haixia Wang, Yi Xiong, Dong Ni

Medical Image Anal., 2021

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound.

Ruobing Huang, Zehui Lin, Haoran Dou, Jian Wang, Juzheng Miao, Guangquan Zhou, Xiaohong Jia, Wenwen Xu, Zihan Mei, Yijie Dong, Xin Yang, Jianqiao Zhou, Dong Ni

Medical Image Anal., 2021

Flip Learning: Erase to Segment.

Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deformable Registration of Brain MR Images via a Hybrid Loss.

Luyi Han, Haoran Dou, Yunzhi Huang, Pew-Thian Yap

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

2020

Social exclusion influences conditioned fear acquisition and generalization: A mediating effect from the medial prefrontal cortex.

Haoran Dou, Yi Lei, Xiaojun Cheng, Jinxia Wang, Paavo H. T. Leppänen

NeuroImage, 2020

Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis.

Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour

Medical Image Anal., 2020

Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes.

Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni

Comput. Methods Programs Biomed., 2020

Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.

Luyi Han, Yunzhi Huang, Haoran Dou, Shuai Wang, Sahar Ahamad, Honghao Luo, Qi Liu, Jingfan Fan, Jiang Zhang

Comput. Methods Programs Biomed., 2020

Bridge Segmentation Performance Gap Via Evolving Shape Prior.

Chaoyu Chen, Xin Yang, Haoran Dou, Ruobing Huang, Xiaoqiong Huang, Xu Wang, Chong Duan, Shengli Li, Wufeng Xue, Pheng-Ann Heng, Dong Ni

IEEE Access, 2020

Contrastive Rendering for Ultrasound Image Segmentation.

Haoming Li, Xin Yang, Jiamin Liang, Wenlong Shi, Chaoyu Chen, Haoran Dou, Rui Li, Rui Gao, Guangquan Zhou, Jinghui Fang, Xiaowen Liang, Ruobing Huang, Alejandro Frangi, Zhiyi Chen, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound.

Yuhao Huang, Xin Yang, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Haoran Dou, Chaoyu Chen, Yuanji Zhang, Huanjia Luo, Alejandro Frangi, Yi Xiong, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer.

Zhendong Liu, Xin Yang, Rui Gao, Shengfeng Liu, Haoran Dou, Shuangchi He, Yuhao Huang, Yankai Huang, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS.

Jiamin Liang, Xin Yang, Haoming Li, Yi Wang, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound.

Yi Wang, Dong Ni, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang

IEEE Trans. Medical Imaging, 2019

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound.

Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

FetusMap: Fetal Pose Estimation in 3D Ultrasound.

Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes.

Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Generalizing Deep Models for Ultrasound Image Segmentation.

Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li, Dong Ni, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018