Yunheng Wu (呉 運恒) Ph.D. Student Department of Intelligent Systems, Graduate School of Informatics, Nagoya University, Aichi, Japan. Email Google Scholar Github LinkedIn ORCID

About Me

I am a Ph.D. student in the Department of Intelligent Systems, Nagoya University, supervised by Prof. Kensaku Mori. Before that, I received the B. Eng degree from School of Computer Science and Engineering in Northeastern University of China in 2019 and the Master of Informatics degree from Graduate School of Informatics in Nagoya University in 2023.

I focus on biomedical image processing.

If you would like to chat with me about any interesting topics or questions on computer vision related, please don't hesitate to contact with me via email!

Research keywords

News

• [03/2026] A preprint paper was released entitled "WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images"!
  

• [09/2025] I’m happy to share that our two papers were accepted by the MICCAI 2025 Workshop
  

• [09/2025] Received Honorable Mention for Outstanding Reviewer at MICCAI 2025
  

• [02/2025] An article was published entitled "SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation"!
  

• [01/2025] An article was published in Developmental Cell entitled "In toto biological framework: Modeling interconnectedness during human development"!
  

Selected Publications

Domain-Specific Pretraining and Fine-Tuning with Contrastive Learning for Fluorescence Microscopic Image Segmentation International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI Workshop, 2025MICCAI WS Yuheng Wu, Liangyi Wang, Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Shuntaro Kawamura, Takanori Takebe, Kensaku Mori [Code]BibTeX Key Words: Fluorescence Microscopy; Image Segmentation; Contrastive Learning; Self-supervised Pretraining

CLSMI2T3: 3D CLSM Vasculature Volume Reconstruction from A Single 2D Slice by Off-Focal Plane Signal Using Synthetic Data International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI Workshop, 2024MICCAI WS Yuheng Wu, Martin J. Menten, Linus Kreitner, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe,Daniel Rueckert, and Kensaku Mori [Code and Dataset]BibTeX Key Words: Confocal Microscopic Volume; 3D Vasculature Simulation and Synthesis; 3D Volume Reconstruction

A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI Workshop, 2024MICCAI WS Yuheng Wu, Yunheng Wu1(B), Jiazhen Pan, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert and Kensaku Mori [Code and Dataset]BibTeX Key Words: Microscopic Image, Image Segmentation, Look-Up Table

Blood vessel segmentation from low-contrast and wide-field optical microscopic images of cranial window by attention-gate-based network Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2022CVPR WS Yuheng Wu, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Shogo Nagata, Cheng Wang, Kensaku Mori BibTeX Key Words: Cranial Window; Wide-Field Optical Microscopic Images; Blood Vessel Segmentation

Other Publications

• WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images Preprint
  Yunheng Wu, Wenqi Huang, Liangyi Wang, Masahiro Oda, Yuichiro Hayashi, Daniel Rueckert, Kensaku Mori
  arXiv preprint arXiv:2603.03749
  BibTeX

• Modeling antithymocyte globulin-induced microvasculopathy using human iPSC-derived vascularized liver organoids IF 10.6
  Shuntaro Kawamura, Yosuke Yoneyama, Norikazu Saiki, Yunheng Wu, Chiharu Moriya, Rio Ohmura, Mari Maezawa, Yoshihiro Shimada, Yicheng Wang, Kensaku Mori, Noriki Okada, Yasuharu Onishi, Yukihiro Sanada, Yuta Hirata, Yasunaru Sakuma, Takanori Takebe
  Cell Reports Medicine, 2025, 6(11).
  BibTeX

• Spiking MU-Net: Toward Low-Power and Efficient Microscopic Image Segmentation
  Liangyi Wang, Yunheng Wu , Masahiro Oda, Yuichiro Hayashi, Kensaku Mori
  International Workshop on Efficient Medical Artificial Intelligence. Cham: Springer Nature Switzerland, 2025: 163-173.Workshop
  BibTeX

• SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation Preprint
  Ying Chen, Rami Al-Maskari, Izabela Horvath, Mayar Ali, Luciano Hoher, Kaiyuan Yang, Zengming Lin, Zhiwei Zhai, Mengzhe Shen, Dejin Xun, Yi Wang, Tony Xu, Maged Goubran, Yunheng Wu, Kensaku Mori, Johannes C Paetzold, Ali Erturk
  arXiv preprint arXiv:2501.03880
  BibTeX

• In toto biological framework: Modeling interconnectedness during human development IF 10.7
  Yosuke Yoneyama, Yunheng Wu, Kensaku Mori, Takanori Takebe
  Developmental Cell, Volume 60, Issue 1, 8 - 20, January 06, 2025
  BibTeX

• Complement factor D targeting protects endotheliopathy in organoid and monkey models of COVID-19 IF 19.8
  Eri Kawakami, Norikazu Saiki, Yosuke Yoneyama, Chiharu Moriya, Mari Maezawa, Shuntaro Kawamura, Akiko Kinebuchi, Tamaki Kono, Masaaki Funata, Ayaka Sakoda, Shigeru Kondo, Takeshi Ebihara, Hisatake Matsumoto, Yuki Togami, Hiroshi Ogura, Fuminori Sugihara, Daisuke Okuzaki, Takashi Kojima, Sayaka Deguchi, Sebastien Vallee, Susan McQuade, Rizwana Islam, Madhusudan Natarajan, Hirohito Ishigaki, Misako Nakayama, Cong Thanh Nguyen, Yoshinori Kitagawa, Yunheng Wu, Kensaku Mori, Takayuki Hishiki, Tomohiko Takasaki, Yasushi Itoh, Kazuo Takayama, Yasunori Nio, Takanori Takebe
  Cell Stem Cell, Volume 30, issue 10, p1315-1330.E10, October 05, 2023
  BibTeX

• Thrombosis region extraction and quantitative analysis in confocal laser scanning microscopic image sequence in in-vivo imaging
  Yunheng Wu, Masahiro Oda, Yuichiro Hayashi, Shuntaro Kawamura, Takanori Takebe, Kensaku Mori.
  In Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 12468, pp. 71-77). SPIE.
  BibTeX

• A 3D Multi-scale Virtual Adversarial Network for False Positive Reduction in Pulmonary Nodule Detection
  Yunheng Wu, Yuxuan Pang, Peng Cao.
  Proceedings of the 2019 3rd ICIAI, 2019
  BibTeX

Education

• Department of Intelligent Systems, Graduate School of Informatics, Nagoya University, Nagoya, Japan, Apr. 2023 - Now
  Ph.D student
  Advisor: Prof. Kensaku Mori
  

• Department of Intelligent Systems, Graduate School of Informatics, Nagoya University, Nagoya, Japan, Apr. 2021 - Mar. 2023
  Master student (Degree: Master of Informatics)
  Advisor: Prof. Kensaku Mori
  

• School of Informatics, Nagoya University, Nagoya, Japan, Apr. 2020 - Mar. 2021
  Research Student (Non-degree Course)
  Advisor: Prof. Kensaku Mori
  

• Department of Electronic Engineering, Kyung Hee University, Suwon, South Korea, Aug. 2017 - Jan. 2018
  Exchange Student (Non-degree Course)
  

• School of Computer Science and Engineering, Northeastern University, Shenyang, China, Oct. 2015 - Jun. 2019
  Undergraduate Student (Degree: Bachelor of Engineering)
  

Experience

• UCL Medical Image Computing Summer School (MedICSS), London, UK, Jul. 2024 - Jul. 2024
  Summer School Student
  Project 5: De-Noising Magnetic Resonance Images with Deep Learning
  

• The Lab of AI in Medicine, Institute of AI and Informatics in Medicine, Technical University of Munich, Munich, Germany, Aug. 2023 - Nov. 2023
  Guest Researcher
  Advisor: Prof. Daniel Rueckert
  

• Mori Laboratory, Graduate School of Informatics, Nagoya University, Nagoya, Japan, Apr. 2021 - Mar. 2023
  Research Assistant (Part-time)
  Advisor: Prof. Kensaku Mori
  

• Institute of Signal and Information Processing, Northeastern University, Shenyang, China, Jan. 2018 - Jul. 2018
  Research Student
  Advisor: Prof. Feng Luan
  

• Key Laboratory of Medical Imaging Computation, Northeastern University, Shenyang, China, Jan. 2018 - Jun. 2019
  Research Student
  Advisor: Prof. Peng CAO
  

Project

• JST Moonshot Project Goal 3 Co-evolution of Human and AI-Robots to Expand Science Frontiers, Apr. 2021 - Now
  Student Member
  PM: Prof. Kanako Harada
  Advisor PI: Prof. Kensaku Mori
  Collaborative PI: Prof. Takanori Takebe
  

• National Undergraduate Training Program for Innovation and Entrepreneurship, Jan. 2018 - Jun. 2019
  Project Leader
  

Fellowship

• Convolution of Informatics and Biomedical Sciences on Glocal Alliances, Apr. 2021 - Now
  The third-generation students of CIBoG (Graduate School of Informatics and Graduate School of Medicine)
  

• Nagoya University interdisciplinary Frontier Fellowship, Apr. 2023 - Mar. 2024
  Information/AI Field
  
• Japan Society for the Promotion of Science (JSPS) Research Fellowships for Young Scientists (DC2), Apr. 2024 - Now
  

Selected Awards

Honorable Mention for Outstanding Reviewer at MICCAI 2025, 2025

Toka Education, Culture and Communication Foundation Scholarship, 2022-2023

JEES Softbank AI Talent Development Scholarship, 2021-2022

Northeastern University Outstanding Student Scholarship, 2018-2019

Northeastern University Personal Excellent Academic Professionals, 2017-2018

Northeastern University Outstanding Student Scholarship, 2017-2018

Services

Journal of Biomedical and Health Informatics (JBHI)
Health Information Science and Systems
Academic eXchange for Information Environment and Strategy (AXIES2023)
5th Convolution of Informatics and Biomedical Sciences On Glocal Alliances (CIBoG) Retreat Committee
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
International Conference on Computer Vision (ICCV)

Collaborators

Dr. Yuxuan PANG
Postdoctoral researcher, The Institute of Medical Science, The University of Tokyo (IMSUT)