Xuming Zhang | Biomedical Engineering | Best Researcher Award

 

Dr. Xuming Zhang | Biomedical Engineering | Best Researcher Award

Dr at Huazhong University of Science and Technology, China.

Xuming Zhang is an Associate Professor in the Department of Biomedical Engineering at Huazhong University of Science and Technology. Born on November 21, 1976, he specializes in medical image processing, AI for medical diagnosis, surgical guidance, and surgical robots. He earned his Ph.D. in Biomedical Engineering from Shanghai Jiaotong University and completed postdoctoral research at UC Davis and Huazhong University. Dr. Zhang has led significant research projects, including early prostate cancer diagnosis and real-time 3D ultrasound-MR image registration. His work has earned him multiple awards, including the Hubei Science and Technology Progress Award.

 

Profile

 

Scopus

 

šŸŽ“ EducationĀ 

Ph.D. in Biomedical Engineering, Shanghai Jiaotong University (2001.3-2005.11) Tutor: Academician Binshi Xu. Master’s in Biomedical Engineering, Wuhan University of Technology (1998.9-2001.2). Bachelor’s in Biomedical Engineering, Wuhan University of Technology (1994.9-1998.6)

šŸ§‘ā€šŸ« Professional Experience

2008.1-2009.1: Post-doctoral Fellow, Department of Mechanical and Aeronautical Engineering, University of California at Davis. 2006.1-2008.1: Post-doctoral Fellow, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology
Tutor: Academician Youlun Xiong

šŸ“Š Research Projects šŸ“Š

Research on Early Prostate Cancer Diagnosis Technology National Key Research and Development Program, 2020.10-2023.09, Ā„8.82 million. Real-time Accurate Registration of 3D Ultrasound and MR Images for Prostate Targeted Biopsy Based on Deep Learning Sponsored by National Natural Science Foundation of China, 2019.01-2022.12, Ā„0.57 million. Research and Development of Surgery Planning and Navigation System Based on CT-3D Ultrasound Fusion National Key Research and Development Program, 2017.12-2020.11, Ā„1.53 million. Nondestructive Testing of Quality Status of Retired Products Based on the Combination of Electromagnetic Ultrasound and Eddy Current 863 Project, 2013.01-2015.12, Ā„0.4 million. Research on Non-local Elastic Registration of Prostate Ultrasound and PET Images for Prostate Biopsy Wuhan Science and Technology Bureau Project, 2015.03-2016.12, Ā„0.15 million. Multi-DOF Prostate Biopsy Robot Enterprise Project, 2016.03-2019.03, Ā„1.5 million. Research and Development of High-Frequency Composite Ultrasonic Scanning Probe Microscopy National Major Instrument Project, 2013.10-2017.09, Ā„4.4949 million. Research and Development of 3D Ultrasonic System for the Diagnosis and Treatment of Urinary Diseases National Science and Technology Support Program, 2012.01-2014.12, Ā„5.506 million Key Technologies of Real-Time Three-Dimensional Ultrasound Imaging International Science and Technology Cooperation Project, 2013.04-2016.03, Ā„4.75 million

šŸ† AwardsĀ 

Innovation and Application of Key Technologies in Diagnosis and Treatment of Renal Cancer First Prize, Hubei Science and Technology Progress Award (Rank: 4th). Innovation and Application of Key Technologies in Diagnosis and Treatment of Renal Cancer Third Prize, Chinese Medical Science and Technology Award (Rank: 4th)

Publication:šŸ“

1. A temporal enhanced semi-supervised training framework for needle segmentation in 3D ultrasound images

  • Authors: Wen, M.; Shcherbakov, P.; Xu, Y.; Yuan, L.; Zhang, X.
  • Journal: Physics in Medicine and Biology
  • Volume: 69
  • Issue: 11
  • Article: 115023
  • Access: Open Access
  • Citations: 0

 

 

2. CIRF: Coupled Image Reconstruction and Fusion Strategy for Deep Learning Based Multi-Modal Image Fusion

  • Authors: Zheng, J.; Xiao, J.; Wang, Y.; Zhang, X.
  • Journal: Sensors
  • Volume: 24
  • Issue: 11
  • Article: 3545
  • Access: Open Access
  • Citations: 0

 

 

3. Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning

  • Authors: Zhou, Q.; Yu, B.; Xiao, F.; Wang, Z.; Zhang, X.
  • Journal: IEEE Transactions on Medical Imaging
  • Volume: 43
  • Issue: 6
  • Pages: 2317-2331
  • Citations: 0

 

4. TransVFS: A spatio-temporal localā€“global transformer for vision-based force sensing during ultrasound-guided prostate biopsy

  • Authors: Wang, Y.; Ye, Z.; Wen, M.; Liang, H.; Zhang, X.
  • Journal: Medical Image Analysis
  • Volume: 94
  • Article: 103130
  • Citations: 1

 

5. SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation

  • Authors: Yu, B.; Zhou, Q.; Zhang, X.
  • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume: 14473
  • Pages: 376-387
  • Citations: 0

 

6. Short-term and long-term memory self-attention network for segmentation of tumours in 3D medical images

  • Authors: Wen, M.; Zhou, Q.; Tao, B.; Xu, Y.; Zhang, X.
  • Journal: CAAI Transactions on Intelligence Technology
  • Volume: 8
  • Issue: 4
  • Pages: 1524-1537
  • Access: Open Access
  • Citations: 7

 

7. Free form deformation and symmetry constraint-based multi-modal brain image registration using generative adversarial nets

  • Authors: Zhu, X.; Ding, M.; Zhang, X.
  • Journal: CAAI Transactions on Intelligence Technology
  • Volume: 8
  • Issue: 4
  • Pages: 1492-1506
  • Access: Open Access
  • Citations: 2

 

8. F-DARTS: Foveated Differentiable Architecture Search Based Multimodal Medical Image Fusion

  • Authors: Ye, S.; Wang, T.; Ding, M.; Zhang, X.
  • Journal: IEEE Transactions on Medical Imaging
  • Volume: 42
  • Issue: 11
  • Pages: 3348-3361
  • Citations: 3

 

 

9. Medical Image Classification Using Light-Weight CNN With Spiking Cortical Model Based Attention Module

  • Authors: Zhou, Q.; Huang, Z.; Ding, M.; Zhang, X.
  • Journal: IEEE Journal of Biomedical and Health Informatics
  • Volume: 27
  • Issue: 4
  • Pages: 1991-2002
  • Citations: 13

 

 

10. Self-supervised transformer based non-local means despeckling of optical coherence tomography images

  • Authors: Zhou, Q.; Wen, M.; Yu, B.; Ding, M.; Zhang, X.
  • Journal: Biomedical Signal Processing and Control
  • Volume: 80
  • Article: 104348
  • Access: Open Access
  • Citations: 8

 

 

 

Konstantinos Magkoutas | Regenerative Medicine | Best Researcher Award

Dr. Konstantinos Magkoutas | Regenerative Medicine |Best Researcher Award

Dr at ETH ZĆ¼rich Switzerland

I am a highly skilled engineer with extensive experience in control systems and medical devices. Currently, I work as a Closed Loop Control Engineer at Hamilton Medical, focusing on advanced control algorithms for mechanical ventilation. My background includes a postdoctoral position at ETH ZĆ¼rich, where I led projects on artificial heart technology and managed substantial fundraising efforts. With a Doctor of Science degree from ETH ZĆ¼rich, I specialize in intelligent ventricular assist devices and have a strong track record in research, development, and clinical trials. My technical expertise is complemented by strong leadership, communication, and teamwork skills, as well as proficiency in various software tools.

Profile

  1. Scopus
  2. Orcid
  3. scholar

 

Work Experience šŸ’¼

Closed Loop Control Engineer, New Technology Group, Hamilton Medical (11/2023 ā€“ Present)
ā€¢ Project management, research, and development of cutting-edge control algorithms for mechanical ventilation
ā€¢ Design in-silico and in-vitro verification and validation procedures for medical devices and control algorithms, including regulatory aspects
ā€¢ Participate in clinical trials, conduct clinical data analysis, and documentation

Postdoctoral Researcher, Institute for Dynamic Systems and Control, ETH ZĆ¼rich (03/2023 ā€“ 09/2023)
ā€¢ Led collaborative project between ETH Zurich and Cleveland Clinic on blood pump inflow cannula design and orientation optimization
ā€¢ Developed and executed in-vitro characterization of a novel, soft total artificial heart for heart disease patients
ā€¢ Managed fundraising proposals ~ 1 million CHF
ā€¢ Supported the supervision of two PhD researchers

Research Assistant, Product Development Group ZĆ¼rich, ETH ZĆ¼rich (09/2018 ā€“ 02/2023)
ā€¢ Ideation, design, assembly, calibration, and in-vitro testing of novel aortic sensor for hemodynamic and biomechanical data acquisition
ā€¢ Developed and executed large animal experiments to validate the clinical readiness of the aortic sensor
ā€¢ Developed algorithmic approaches for data processing and evaluation
ā€¢ Created a data-driven iterative learning control strategy for blood pumps
ā€¢ Developed a genetic-algorithm-based optimization framework for the optimization of control parameters of blood pump controllers
ā€¢ Instructed undergraduate and graduate courses, supervised 20 Bachelors and Masters students

Warehouse Management, Hellenic Air-force (01/2017 ā€“ 06/2017)
ā€¢ Directed stock maintenance
ā€¢ Developed procedures for automatic stock monitoring and tracking
ā€¢ Controlled stock records

Project Engineer, LABOR S.A. (06/2014 ā€“ 09/2014)
ā€¢ Created technical reports and tested electrical equipment in compliance with EU protocols
ā€¢ Conducted inspection and certification of electrical equipment
ā€¢ Provided technical guidance to clients to harmonize products with relevant EU guidelines

Education šŸŽ“

Doctor of Science, ETH ZĆ¼rich (09/2018 – 03/2023) Ā PhD Thesis: Novel sensing and control strategies towards intelligent ventricular assist devices. MSc Degree, Cranfield University (09/2017 – 09/2018) Ā Master Thesis: S-duct Aerodynamics: Parameterization and optimization of complex intake geometries Diploma in Mechanical Engineering, Aristotle University of Thessaloniki (10/2010 ā€“ 07/2016) Diploma Thesis: Investigation of curved fuel injector effects on contra rotating vortex pair (CVP) development

General Skills šŸ› ļø

Leadership Skills Managed and organized the PhD board of the Zurich Heart project Guided and inspired a group as Deputy Director of the Editing team at 48th Cranfieldā€™s Engine Symposium. Communication Skills Ā Presented in multiple international conferences and workshops Ā Representative of the Zurich Heart project in Scientifica, an exhibition held by ETH ZĆ¼rich Ā Collaborated with physicians and surgeons on data management, establishment of implantation protocols, and medical device assessment. Teamwork Skills Ā Part of an interdisciplinary team of physicians, vets, surgeons, and engineers for complex animal experiments. Ā Collaborated with Zurich Heart consortium members on cross-functional projects. Computer Skills MS Word, Excel, PowerPoint, Adobe Illustrator, Adobe Premiere, Jira, Notion, Confluence, Miro, MS Project
Math Works MATLAB, Python, FORTRAN, Simulink (Real time), LabVIEW, Git AUTODESK INVENTOR, Siemens NX12, Mesh Mixer, 3D printing slicers ANSYS ICEM, ANSYS Fluent

Awards šŸ…

ASAIO Top Category Abstract Award, San Francisco (2023), The Worshipful Company of Fan Makers Prize for outstanding Master Thesis, Cranfield (2017), Awarded Ā£5000 bursary towards the completion of Thermal Power MSc program, Cranfield (2017), 3rd Place Business Plan award for Self-Printing business proposal, Thessaloniki (2016)

Interests and Extracurricular Activities šŸŒŸ

Building and programming Lego-robots for multiple tasks, Reshaping used materials to create art, Traveling the world to explore foreign cultures, meet new people, and taste different cuisines, Reading books, cooking, playing Handball

Publications Top Notes šŸ“

 

  1. Title: Continuous heart volume monitoring by fully implantable soft strain sensor
    • Authors: SA Dual, B Llerena Zambrano, S SĆ¼ndermann, N Cesarovic, M Kron, …
    • Year: 2020

 

  1. Title: Cardiac output estimation: Online implementation for left ventricular assist device support
    • Authors: A Petrou, M Kanakis, K Magkoutas, B De Vries, M Meboldt, MS Daners
    • Year: 2020

 

  1. Title: Control of ventricular unloading using an electrocardiogramā€synchronized pulsatile ventricular assist device under high stroke ratios šŸ«€šŸ”‹
    • Authors: K Magkoutas, M Rebholz, S SĆ¼ndermann, A Alogna, A Faragli, V Falk, …
    • Year: 2020

 

  1. Title: Physiologic Data-Driven Iterative Learning Control for Left Ventricular Assist Devices
    • Authors: K Magkoutas, P Arm, M Meboldt, M Schmid Daners
    • Year: 2022

 

  1. Title: Pressure and bernoulli-based flow measurement via a tapered inflow VAD cannula
    • Authors: K Petersdorff-Campen, MA Dupuch, K Magkoutas, M Meboldt, C Hierold, …
    • Year: 2021

 

  1. Title: Continuous monitoring of blood pressure and vascular hemodynamic properties with miniature extravascular Hall-based magnetic sensor
    • Authors: K Magkoutas, M Weisskopf, V Falk, MY Emmert, M Meboldt, N Cesarovic, …
    • Year: 2023

 

  1. Title: Experimental investigation of geometry effects and performance of five-hole probe in measuring jets in crossflow
    • Authors: K Magkoutas, T Efstathiadis, A Kalfas
    • Year: 2022

 

  1. Title: Genetic algorithm-based optimization framework for control parameters of ventricular assist devices
    • Authors: K Magkoutas, LN Rossato, M Heim, MS Daners
    • Year: 2023

 

  1. Title: Building an interdisciplinary program of cardiovascular research at the Swiss Federal Institute of Technologyā€“the ETHeart story
    • Authors: AP Kourouklis, X Wu, RC Geyer, V Exarchos, T Nazari, J Kaemmel, …
    • Year: 2022