Haoran Dou (窦浩然)

I am a Ph.D. student in CISTIB at School of Computing, University of Leeds, supervised by Prof. Alejandro F. Frangi, and Dr. Nishant Ravikumar. I am also a research associate at Department of Computer Science, School of Engineering, University of Manchester.

I received my M.E. in MUSIC Lab at Shenzhen University, supervised by Prof. Dong Ni. During my master period, I was offered the chance to visit the CRL, Boston Children's Hospital, and supervised by Dr. Ali Gholipour and Dr. Davood Karimi. Before that, I obtained my B.E. at Sichuan University.

Email  /  Google Scholar  /  GitHub  /  ResearchGate  /  LinkedIn

profile photo
Research

My area of expertise is in artificial intelligence (AI) for in-silico clinical trials. Specifically, I focus on fundamental techniques for medical digitization, as well as the generative AI for virtual patient synthesis and treatment.

News

[10/2024] I was awarded IEEE-TMI Distinguished Reviewer (Gold Level)

[09/2024] I joined University of Manchester as research associate

[08/2024] Our paper was selected as oral presentation in MICCAI MIML 2024

[07/2024] One abstract was accepted by CMBBE 2024

[07/2024] One paper was accepted by MICCAI MIML 2024

[06/2024] Two papers were accepted by MICCAI 2024

[04/2024] Our abstract was awarded best abstract in VITM 2024

[04/2024] Our paper was selected as oral presentation in ISBI 2024

[03/2024] I was awarded IOP Outstanding Reviewer Awards

[02/2024] Our paper on virtual heart chimaeras was accepted by IEEE-TNNLS

[02/2024] Four papers were accepted by ISBI 2024.

[12/2023] Two abstracts were accepted by VITM 2024.

[11/2023] I was awarded the Chinese Student Awards from GBCET.

[07/2023] Two papers were accepted by MICCAI Workshop.

[06/2023] Four papers were accepted by MICCAI 2023.

[06/2023] I was awarded IOP Trusted Reviewer status.

[04/2023] Our paper on freehand ultrasound reconstruction was accepted by MedIA.

[03/2023] Our paper on test-time domain adaptation was accepted by CMPB.

[07/2022] I was involved as the executive assistant in the IPMI 2023 organizing committee.

[06/2022] Three papers were accepted by MICCAI 2022.

[05/2022] Our paper on breast lesion segmentation in ultrasound was accepted by MedIA.

[03/2022] I was selected as the best reviewers for IEEE JBHI for 2021.

[02/2022] Our paper on transformer for medical image segmentation was accepted by IEEE Access.

[10/2021] I successfully defended my Ph.D. transfer viva subject to minor corrections.

[09/2021] We were invited to an oral presentation in MICCAI 2021 Learn2Reg challenge.

[06/2021] Our extension study on breast lesion diagnosis was accepted by MedIA.

[06/2021] One paper was accepted by MICCAI 2021.

[05/2021] Our extension study on the multi-agent for standard plane localization was accepted by MedIA.

[03/2021] Our extension study on the standard plane localization in 3D US was accepted by IEEE TMI.

[11/2020] Our paper on fetal cortical plate segmentation was accepted by IEEE TMI.

[10/2020] I started my Ph.D. career in CISTIB at School of Computing, University of Leeds.

[09/2020] Our paper on robust model was accepted by IEEE Access.

[06/2020] Two papers were accepted by MICCAI 2020.

[06/2020] Our review paper on noisy label was accepted by MedIA.

[06/2020] I successfully defended my Master thesis.

[03/2020] I completed my internship at Computational Radiology Labtoray, Boston Children's Hospital.
Representative Publications

A Generative Shape Compositional Framework to Synthesise Populations of Virtual Chimaeras.
Haoran Dou, Seppo Virtanen, Nishant Ravikumar#, Alejandro F. Frangi#
In: IEEE Transactions on Neural Networks and Learning Systems, 2024. (IF: 10.2)
arXiv

A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy.
Haoran Dou, Nishant Ravikumar#, Alejandro F. Frangi#
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
arXiv  /  Poster

GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration.
Haoran Dou*, Ning Bi*, Luyi Han, Yuhao Huang, Xin Yang, Ritse Mann, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang#
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. (Early Accept)
arXiv  /  Code

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#.
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. (Early Accept)
arXiv

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#.
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. (Early Accept)
arXiv  /  Code  /  Poster

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#.
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. (Oral)
In: IEEE Transactions on Medical Imaging, 2021. (IF: 8.9)
arXiv:tmi  /  arXiv:miccai  /  Code  /  Poster

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#.
In: IEEE Transactions on Medical Imaging, 2021. (IF: 8.9)
arXiv  /  Code

Recent Publications

Automated Workflow For Constructing Virtual Twins For Haemodynamic Analysis of Stenosed Aortic Valves
CMBBE, 2024.

Robust Box Prompt based SAM for Medical Image Segmentation
MICCAI Workshop: Machine Learning in Medical Imaging, 2024. (Oral)

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
MICCAI, 2024. (Early Accept)

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
MICCAI, 2024. (Early Accept)

Synthesising 3D Cardiac cine-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model
ISBI, 2024.

Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning
ISBI, 2024. (Oral)

Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
ISBI, 2024.

Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries
ISBI, 2024.

Streamlined Large-scale Construction of Virtual Twins of Aortic Root Complexes for In-silico Trials of Cardiac Valve Implants
VITM, 2024. (Oral, Best Conference Abstract)

Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI
MICCAI Workshop: Simulation and Synthesis in Medical Imaging, 2023.

Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
MICCAI Workshop: Deep Generative Models, 2023. (Short Oral)

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
MICCAI, 2023.

RecON: Online Learning for Sensorless Freehand 3D Ultrasound Reconstruction
Medical Image Analysis, 2023.

Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
MICCAI, 2023. (Early Accept)

Test-time Bi-directional Adaptation between Image and Model for Robust Segmentation
Computer Methods and Programs in Biomedicine, 2023.

For more publications, see my GoogleScholar

Experience

School of Engineering, University of Manchester
Sep. 2024 - Sep. 2025

Research Associate
Advisor: Prof. Alejandro F. Frangi

Computational Radiology Labtoray, Boston Children's Hospital
Aug. 2019 - Mar. 2020

Student Intern
Advisor: Dr. Ali Gholipour

Honors & Awards

IEEE TMI Distinguished Reviewer (Gold Level), 2024

Best Conference Abstract in VITM 2024

Chinese Student Awards from The Great Britain-China Educational Trust, 2023

IOP Outstanding Reviewer, 2023

Best Reviewers for IEEE Journal of Biomedical and Health Informatics, 2021

Best Paper Selection in the IMIA Yearbook of Medical Informatics, 2021

EPSRC DTP Studentship, 2020-2024

The First Prize Scholarship of Shenzhen University, 2017,2019
Invited Talk

Reinforcement Learning for Standard Plane Localization in 3D Ultrasound

@ CAMCA AIxMedicine Biweekly Seminar, MGH & HMS, 2022.

Virtual Heart Population: Accelerating In-silico Clinical Trials with Generative AI

@ Shenzhen University, 2023.
@ Nanjing Medical University, 2024

Professional Activities

➤ Review Service

Nature Machine Intelligence

Medical Image Analysis

IEEE Transactions on Medical Imaging

IEEE Transactions on Artificial Intellengence

IEEE Transactions on Image Processing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Journal of Biomedical and Health Informatics

IEEE Transactions on Biomedical Engineering

Engineering Applications of Artificial Intelligence

Pattern Recognition

Computerized Medical Imaging and Graphics

Progress in Biomedical Engineering

MICCAI 2022 - 2024

MICCAI Workshop: Deep-Brea3th 2024

NeurIPS Workshop: Medical Imaging meets NeurIPS 2023

➤ Program Committees

Executive Assistant of the 28th International Conference on Information Processing in Medical Imaging (IPMI 2023)

➤ Teaching

University of Leeds, 21/22(2) COMP5611M Machine Learning

➤ Tutorial & Note

Learning Note on Deep Learning & Medical Image Analysis


Template is adapted from here.