I received my Ph.D. from Sorbonne Université, Paris, France, in 2018, under the direction of Pascal Laugier (Member, European Academy of Sciences) and Quentin Grimal.

From 2018 to 2020, I was in Ferrara Lab at Stanford University for postdoctoral research training under the direction of Katherine W. Ferrara (Member, National Academy of Engineering).

I am currently an Assistant Professor in the School of Information Science and Technology at ShanghaiTech University.

Our work is supported by ‘National Natural Science Foundation of China’, ‘Natural Science Foundation of Shanghai’, ‘Shanghai High-Level Overseas Talent Program’, ‘Shanghai Sailing Program’ and a grant from ‘Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences’.

I received the second place award for the talk presented at the Youth Forum of 2023 WIFUMB, the best talk award at the IBDW (2017) and the traveling award of IUS (2017).

I served as a co-chair for the sessions at IEEE IUS 2023,2024 and ESUCB 2017, and as a reviewer for IEEE TMI、IEEE TUFFC、Ultrasonics、Ultrasound in Medicine & Biology、Acta Biomaterilia、Scientific Reports、Measurement、声学学报、Ultrasonic Imaging、Nanoscale, etc.

✡️ Research Interests

• Ultrasound Imaging: image reconstruction methods, multi-parametric and multimodal imaging, monitoring methods for ultrasound therapy;

• Deep Learning for Medical Imaging: deep learning techniques applied to ultrasound imaging;

• Medical Instrumentation:: development of instruments for medical diagnosis and therapy.

🔊 Position Openings

• Postgraduate Students: We recruit 2~3 postgraduate students for each academic year. The candidate is expected to be self-motivated in one of the following areas: Signal Processing, Image Processing, Medical Imaging, Wave Physics, Artificial Intelligence, Parallel Computation, Circuit Design, Instrumentation, etc. A solid mathematical background and sufficient programming skills are required. If you are interested in this opening, please email me your CV.
• Undergraduates/Visting Students: We warmly welcome students (from ShanghaiTech or other Universities) majored in Electrical Engineering, Computer Science, Information and Communication Engineering, Biomedical Engineering, Machine Learning, Mathematics, Physics and Acoustics, Information and Communication Engineering, and other related disciplines to join our group.

🔥 News

• 2024.11: Congratulations! Hui Zhu was awarded the ‘National scholarship for doctoral students (博士研究生国家奖学金)’.
• 2024.10: Our grant proposal received the support from ‘Natural Science Foundation of Shanghai’.
• 2024.08: Our grant proposal received the support from ‘National Natural Science Foundation of China’.
• 2024.06: Three abstracts accepted by 2024 IEEE International Ultrasonics Symposium (IUS). Congratulations to Bowei Yao, Yi Zeng and Hui Zhu!
• 2024.05: Hui Zhu has published a paper titled “Passive Acoustic Mapping for Convex Arrays With the Helical Wave Spectrum Method” in IEEE Transactions on Medical Imaging ( Volume: 43, Issue: 5, May 2024). Details can be found following the link
• 2024.05: Congratulations to Yi Zeng and Hui Zhu! Their works on passive acoustic mapping have been selected to compete for the Student Award and Student Poster Award by 2024 International Symposium on Therapeutic Ultrasound (ISTU), and they both received the Student Registration Award for ISTU 2024.
• 2024.05: 祝贺崔世龙、连奕航同学在”AI4S Cup-超声CT成像中的声场预测“比赛中获奖。崔世龙获得声场预测“三等奖”和“最佳反演效果奖”，连奕航获得声场预测“三等奖”。
• 2024.05: Yi Zeng successfully defended his application of MS to PhD conversion.
• 2023.11: 课题组获批2023年度医学成像科学与技术系统中国科学院(全国)重点实验室一般开放基金项目1项。
• 2023.10: 我的报告在西湖国际超声医学论坛暨国际超声造影会议获得青年论坛报告二等奖。
• 2023.05: I and collaborators published a paper titled “Fast volumetric ultrasound facilitates high-resolution 3D mapping of tissue compartments” in Science Advances ( Volume: 9, Issue: 22, May 2023). Details can be found following the link
• 2023.05: Congratulations to Jin Gaofei, Xu Xuan, and Meng Mancheng! They have successfully defended their Master degree thesis. They are now embarking on new journeys in life. Jin Gaofei is heading to the U.S. for further studie (fully funded Ph.D. at the University of Rochester) and Xu Xuan and Meng Mancheng will joint the industry (Huawei, Unite Imaging)!
• 2023.05: SUSIT lab had eight conference abstracts accepted by the prestigious IEEE International Ultrasonics Symposium this year. Congratulations to the eight students in our group (including one undergraduate from ShanghaiTech University)!
• 2023.05: Shilong Cui successfully defended his application of MS to PhD conversion.
• 2023.03: Gaofei Jin has published a paper titled “A Signal-Domain Object Segmentation Method for Ultrasound and Photoacoustic Computed Tomography” in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (Volume: 70, Issue: 3, March 2023). Details can be found following the link
• 2022.09: SUSIT lab welcomes 2 new members (Undergrads), Yiming Huang, Chenguang Wang.
• 2022.06: The prestigious 2022 IEEE International Ultrasonics Symposium (IUS) has accepted two abstracts submitted by Yi Zheng and Hui Zhu, respectively. They will present their works at the conference to be held in Venice, Italy, on October 10-13, 2022. Congratulations!
• 2022.05: Hui Zhu successfully defended her application of MS to PhD conversion.
• 2022.05: Xiran Cai has published two chapters in the book “Bone Quantitative Ultrasound New Horizons”, reporting the latest development of resonant ultrasound spectroscopy for high damping solids and its application in measuring the anisotropic stiffness of hard tissue. Details can be found following the link
• 2021.12: Xiran Cai received the support of “Shanghai Overseas Talent Program”.
• 2021.09: SUSIT lab welcomes 3 new members (Master students), Yifei Li, Shilong Cui, Bowei Yao.
• 2021.04: Xiran Cai received a grant from “Shanghai Sailing Program”.
• 2020.09: SUSIT lab is officially open and welcomes 2 members (Master students), Gaofei Jin, Hui Zhu.

📝 Selected Publications

IEEE TMI 2024

Passive Acoustic Mapping for Convex Arrays With the Helical Wave Spectrum Method, IEEE Trans. Med. Imag. 2024

Hui Zhu; Yi Zeng; Xiran Cai*

[paper]

Sci. Adv. 2023

Fast volumetric ultrasound facilitates high-resolution 3D mapping of tissue compartments, Sci. Adv. 2023

Eun-Yeong Park#, Xiran Cai#, Josquin Foiret, Hanna Bendjador, Dongwoon Hyun, Brett Z Fite, Robert Wodnicki, Jeremy J Dahl, Robert D Boutin, Katherine W Ferrara

[paper]

IEEE TUFFC 2023

A signal-domain object segmentation method for ultrasound and photoacoustic computed tomography, IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2023

Gaofei Jin, Hui Zhu, Daohuai Jiang, Jinwei Li, Lili Su, Jianfeng Li, Fei Gao, Xiran Cai*

[paper]

Sci. Rep. 2022

Improving plane wave ultrasound imaging through real-time beamformation across multiple arrays, Sci. Rep. 2022

Josquin Foiret, Xiran Cai, Hanna Bendjador, Eun-Yeong Park, Aya Kamaya, Katherine W Ferrara [paper]

Materialia 2020

Anisotropic elastic properties of human cortical bone tissue inferred from inverse homogenization and resonant ultrasound spectroscopy, Materialia 2020

Xiran Cai*, Laura Peralta, Renald Brenner, Gianluca Iori, Didier Cassereau, Kay Raum, Pascal Laugier, Quentin Grimal

[paper]

Acta Biomater. 2019

Anisotropic elastic properties of human femoral cortical bone and relationships with composition and microstructure in elderly, Acta Biomater. 2019

Xiran Cai*, Hélène Follet, Laura Peralta, Marc Gardegaront, Delphine Farlay, Rémy Gauthier, Boliang Yu, Evelyne Gineyts, Cécile Olivier, Max Langer, Aurelien Gourrier, David Mitton, Françoise Peyrin, Quentin Grimal, Pascal Laugier

[paper]

• Limited-View Photoacoustic Imaging Reconstruction Via High-quality Self-supervised Neural Representation, Yuting Shen, Bowei Yao, Xiran Cai, Yuyao Zhang, Fei Gao, arXiv 2024. [paper]

• Sparse-view signal-domain photoacoustic tomography reconstruction method based on neural representation, Bowei Yao, Yi Zeng, Haizhao Dai, Qing Wu, Youshen Xiao, Fei Gao, Yuyao Zhang, Jingyi Yu, Xiran Cai, arXiv, 2024. [paper]

• A Fast Fourier Beamformer for Convex-array Passive Acoustic Mapping, Hui Zhu, Yi Zeng, Yifei Li, Xiran Cai, IEEE International Ultrasonics Symposium (IUS), 2023. [paper]

• Accelerating image reconstruction speed in ultrasound computed tomography with structural information, Yiming Huang, Shilong Cui, Gaofei Jin, Xiran Cai, IEEE International Ultrasonics Symposium (IUS), 2023. [paper]

• Speed-of-sound ultrasound computed tomography based on bent ray tracing and multi-layer perceptron, Shilong Cui, Haizhao Dai, Yiming Huang, Jingyi Yu, Xiran Cai, IEEE International Ultrasonics Symposium (IUS), 2023. [paper]

• A signal-domain method to reconstruct object’s boundary for 3D ultrasound computed tomography, Teng Liang, Gaofei Jin, Yi Zeng, Xiran Cai, IEEE International Ultrasonics Symposium (IUS), 2023. [paper]

• Light-rotating ring-shape photoacoustic tomography system, Bowei Yao, Xiyu Chen, Gaofei Jin, Fei Gao, Xiran Cai, IEEE International Ultrasonics Symposium (IUS), 2023. [paper]

• Ring Array Passive Acoustic Mapping Using Hybrid Heterogeneous Angular Spectrum Method, Hui Zhu, Yiming Huang, Gaofei Jin, Xiran Cai, IEEE International Ultrasonics Symposium (IUS), 2022. [paper]

• A switchable deep beamformer for passive acoustic mapping, Yi Zeng, Hui Zhu, Xiran Cai, IEEE International Ultrasonics Symposium (IUS), 2022. [paper]

• LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information, Mancheng Meng, Mianxin Liu, Xianjie Zhang, Yuxuan Liu, Xiran Cai, Yaozong Gao, Xiang Zhou, Dinggang Shen, IEEE 19th International Symposium on Biomedical Imaging, 2022. [paper]

📖 Education

• 2018, Ph.D., Sorbonne Université.
  • Supervisor: Prof. Pascal Laugier (Member, European Academy of Sciences), Prof. Quentin Grimal

💻 Work Experience

• Assistant Professor (2020 -now): School of Information Science and Technology, ShanghaiTech University.
• Postdoctoral Fellow (2018-2020):
  • Department of Radiology, School of Medicine, Stanford University
  • Supervisor: Prof. Katherine W. Ferrara (Member, National Academy of Engineering)

🎖️ Awards

• 2024 博士研究生国家奖学金 (awarded to 朱卉).
• 2024 Student Award Finalist (awarded to Hui Zhu), ISTU.
• 2024 Student Poster Award Finalist (awarded to Yi Zeng), ISTU.
• 2024 最佳反演效果奖 (awarded to 崔世龙), , AI4S Cup-超声CT成像中的声场预测.
• 2024 三等奖 (awarded to 崔世龙), AI4S Cup-超声CT成像中的声场预测.
• 2024 三等奖 (awarded to 连奕航), AI4S Cup-超声CT成像中的声场预测.
• 2023 Student Traveling Award (awarded to Hui Zhu), IEEE IUS.
• 2023 青年论坛报告二等奖, 西湖国际超声医学论坛暨国际超声造影会议.
• 2017 Student Traveling Award, IEEE IUS.
• 2017 Best Talk Award, IBDW.

💬 Talks

• 2023.07 高分辨率被动空化成像方法研究, 2022-2023全国声学大会, 特邀报告.
• 2024.03 聚焦超声治疗及图像引导技术简介, 复旦大学，邀请报告.
• 2023.11 声空化活动的快速定位成像方法研究, 重庆医科大学，邀请报告.
• 2023.10 超声空化活动实时大视场成像方法, 西湖国际超声医学论坛暨国际超声造影会议.

🕴️ Activities

• Session Chair
  • IEEE IUS 2023 2024, ESUCB 2017.
• Reviewer
  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
  • Ultrasonics
  • Ultrasound in Medicine & Biology
  • Acta Biomaterilia
  • Scientific Reports
  • Measurement
  • 声学学报
  • Ultrasonic Imaging
  • Nanoscale

🧑‍🏫 Teaching

• Course EE150 - Signal and Systems, ShanghaiTech University, 2022 Autumn, 2023 Autumn, 2024 Autumn.
• Course CS270 - Digital Image Processing, ShanghaiTech University, 2021 Spring, 2022 Spring, 2023 Spring, 2024 Spring.
• Course EE290Y - Physics in Medical Imaging, ShanghaiTech University, 2021 Summer.
• Course EE290X - Electric circuit (Basics), ShanghaiTech University, 2020 Autumn, 2021 Autumn.

🧑‍🎓 Group

• Ph.D. Students
  • Zhu Hui (2020 Fall - present): B.E. at University of Shanghai for Science and Technology.
  • Shilong Cui (2021 Fall - present): B.E. at Taiyuan Institute of Technology.
  • Yi Zeng (2022 Fall - present): B.E. at Anhui University.
• Master Students
  • Bowei Yao (2021 Fall - present): B.S. at Jilin University.
  • Yifei Li (2021 Fall - present): B.S. at Inner mongolia University.
  • Yiming Huang (2022 Fall - present): B.E. at Shanghai Technology University.
  • Teng Liang (2022 Fall - present): B.E. at Shanghaitech University.
  • Chenguang Wang (2022 Fall - present): B.E. at Shanghaitech University.
  • Yichen Yang (2022 Fall - present): B.E. at Shanghaitech University.
  • Yihang Lian (2023 Fall - present): B.E. at Shanghaitech University.
  • Xiaofan Gu (2023 Fall - present): B.E. at Shanghaitech University.
  • Chenyang Li (2023 Fall - present): B.E. at Shangdong University.
• Undergrads
  • Suian Zhou (2023 Fall - present), ShanghaiTech University
• Alumni
  • Gaofei Jin (2020 - 2023), Currently an PhD candidate at the University of Rochester, United States.
  • Xuan Xu (2020 - 2023), Currently an Engineer at Huawei Technologies Co., Ltd.
  • Mancheng Meng (2020 - 2023), Currently an Engineer at United Imaging Healthcare Co.,Ltd.

🛠️ Equipments

实验室拥有一流的医学超声研究设备，包括1024通道容积超声研究平台、256通道高强度聚焦超声研究平台、各类医学成像探头（面阵、半球阵、环阵、线阵、凸阵、相控阵），三维声场扫描平台等，部分设备展示如下。