Jaleel Miyan | Clinical Neuroscience | Best Researcher Award

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Dr. Jaleel Miyan | Clinical Neuroscience | Best Researcher Award

Dr. Jaleel Miyan | The University of Manchester | United Kingdom

Dr. Jaleel Ahmad Miyan is a distinguished British neuroscientist and Senior Lecturer at the Faculty of Biology, Medicine & Health, Division of Neuroscience, University of Manchester, with a long-standing career dedicated to understanding cerebrospinal fluid (CSF) physiology and its role in neurological disorders. As President of the Society for Research into Hydrocephalus & Spina Bifida and a Fellow of both the Higher Education Academy and the Royal Society of Biology, he is recognized internationally for his expertise in cerebral folate metabolism and hydrocephalus research. His principal work focuses on fetal-onset and neonatal hydrocephalus, aiming to develop a non-invasive, non-surgical treatment to address global disparities in care. Miyan has supervised numerous PhD and Masters students, postdoctoral researchers, and technicians, fostering research excellence. He has published over 120 peer-reviewed research papers and reviews, with an h-index of 34, and his work has garnered substantial citations, reflecting his impact in neuroscience. He has served on editorial boards, contributed to major research projects, and secured significant funding for studies on folate metabolism in neurological conditions. Miyan’s scholarship is accessible through his ResearchGate, Orcid, and Google Scholar profiles, showcasing his profound contributions to advancing neuroscience and improving treatments for devastating neurological conditions.

Profiles : Google Scholar | Orcid | Research Gate

Featured Publications

Downing, J. E. G., & Miyan, J. A. (2000). Neural immunoregulation: Emerging roles for nerves in immune homeostasis and disease. Immunology Today, 21(6), 281–289.

Assas, B. M., Pennock, J. I., & Miyan, J. A. (2014). Calcitonin gene-related peptide is a key neurotransmitter in the neuro-immune axis. Frontiers in Neuroscience, 8, 23.

Miyan, J. A., Nabiyouni, M., & Zendah, M. (2003). Development of the brain: A vital role for cerebrospinal fluid. Canadian Journal of Physiology and Pharmacology, 81(4), 317–328.

Gazi, E., Dwyer, J., Lockyer, N. P., Miyan, J., Gardner, P., Hart, C., & Brown, M., et al. (2005). Fixation protocols for subcellular imaging by synchrotron‐based Fourier transform infrared microspectroscopy. Biopolymers: Original Research on Biomolecules, 77(1), 18–30.

Mashayekhi, F., Draper, C. E., Bannister, C. M., Pourghasem, M., & Miyan, J. A., et al. (2002). Deficient cortical development in the hydrocephalic Texas (H‐Tx) rat: A role for CSF. Brain, 125(8), 1859–1874.

Owen‐Lynch, P. J., Draper, C. E., Mashayekhi, F., Bannister, C. M., & Miyan, J. A. (2003). Defective cell cycle control underlies abnormal cortical development in the hydrocephalic Texas rat. Brain, 126(3), 623–631.

Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

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Dr. Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

Dr. Chen Shoubin, Shenzhen University,  China.

Dr. Shoubin Chen is a forward-thinking Research Fellow at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), affiliated with Shenzhen University. With a Ph.D. in Photogrammetry and Remote Sensing, his career has been rooted in the intersection of spatial intelligence, robotics, and AI. From leading national research projects to publishing in reputable journals and securing multiple invention patents, Dr. Chen has made substantial contributions to the field of embodied intelligent robotics. His research emphasizes multi-sensor fusion and autonomous mapping, aiming to give machines human-like spatial perception and decision-making capabilities.

Profile

Google Scholar

 

📚 Early Academic Pursuits

Shoubin Chen’s academic journey began with a strong foundation in geospatial sciences, culminating in a Ph.D. in Photogrammetry and Remote Sensing in 2020. This prestigious degree was awarded through a rigorous joint training program between Wuhan University and the Finnish Geospatial Research Institute. During his doctoral studies, he developed a deep interest in integrating advanced spatial data techniques with artificial intelligence, laying the groundwork for his future research endeavors. His early academic phase was marked by a commitment to cross-border scientific collaboration and multidisciplinary exploration, which has since defined his research approach.

🧑‍💻 Professional Endeavors

Currently serving as a Research Fellow and graduate supervisor at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) and Shenzhen University, Dr. Chen plays a pivotal role in advancing embodied intelligence within the Spatial Intelligence Team. His responsibilities include mentoring postgraduate students, overseeing cutting-edge research, and steering major national and provincial scientific projects. He has contributed to several national-level initiatives, including two National Natural Science Foundation of China grants, support from the China Postdoctoral Science Foundation, and sub-projects under the National Key Research and Development Program. These experiences have sharpened his expertise in high-precision robotic mapping and autonomous navigation.

🤖 Contributions and Research Focus

Dr. Chen’s primary research focus lies in embodied intelligent robotics, with an emphasis on multi-sensor fusion, robotic perception, and spatial mapping technologies. He is recognized for integrating data from various sensing modalities to improve the autonomy and spatial awareness of robotic systems. His innovations aim to empower robots with human-like spatial understanding, allowing them to operate reliably in complex environments. This research direction is crucial for applications ranging from autonomous vehicles to intelligent service robots, contributing significantly to the frontier of AI-driven robotics.

🏅 Accolades and Recognition

Throughout his academic and professional career, Shoubin Chen has garnered considerable recognition for his scientific excellence. He has published nearly ten high-quality papers as either the first or corresponding author in SCI Q2 journals and CCF B-tier or higher conferences and journals. Moreover, he has applied for over ten invention patents, underscoring his commitment to both theoretical advancement and practical application. His reputation in the academic community is further highlighted by his service as a peer reviewer for prestigious platforms such as the IEEE Internet of Things Journal, Remote Sensing of Environment, IEEE Transactions on Intelligent Vehicles, and ICRA, one of the top robotics conferences globally.

🌐 Impact and Influence

Dr. Chen’s work has had a profound impact on the fields of AI, robotics, and spatial computing. His multi-disciplinary approach has influenced how robots understand and interact with their environments, offering transformative possibilities in smart cities, autonomous transport, and digital mapping. By fusing photogrammetry with robotics and AI, he has contributed to a new paradigm in spatial intelligence that bridges digital perception and physical action. His projects have not only generated academic outputs but have also driven technological innovations with potential for real-world deployment.

🌱 Legacy and Future Contributions

As a mentor, innovator, and research leader, Shoubin Chen continues to inspire the next generation of scientists and engineers in AI and robotics. His forward-looking vision involves deepening the integration of embodied intelligence with environmental understanding, enabling machines to collaborate more intuitively with humans. He is poised to expand his research to include human-robot interaction, sustainable urban intelligence, and smart sensing systems. With a growing portfolio of publications, patents, and mentorship experiences, his contributions are set to leave a lasting legacy in the development of intelligent systems that seamlessly bridge perception and action.

🔬 Vision in Artificial Intelligence and Robotics

Guided by a vision that combines spatial science with artificial cognition, Dr. Chen’s work embodies the future of AI-powered robotics. His pursuit of intelligent, context-aware robotic systems aligns with global goals in automation, smart infrastructure, and digital economy. As AI becomes increasingly pervasive in everyday life, his contributions are steering the technology toward safer, more efficient, and more interactive systems. Through continuous innovation and collaboration, he remains at the forefront of a transformative research frontier that blends engineering precision with visionary thinking.

Publication

  • Title: Exploring embodied multimodal large models: Development, datasets, and future directions
    Authors: S Chen, Z Wu, K Zhang, C Li, B Zhang, F Ma, FR Yu, Q Li
    Year: 2025

 

  • Title: Distributed Robust Communication-Efficient Multi-Robot SLAM Combining Real-Time Intersection and Historical Loop Constraints
    Authors: B Zhang, Z Xiong, J Qiu, S Chen, Y Hu, S Chen
    Year: 2025

 

  • Title: TextGeo-SLAM: A LiDAR SLAM With Text Semantics and Geometric Constraints-Based Loop Closure
    Authors: S Chen, C Li, Q Jiang, X Zhuang, B Zhang, B Zhou, Q Li
    Year: 2024

 

  • Title: ASL-SLAM: A LiDAR SLAM with activity semantics-based loop closure
    Authors: B Zhou, C Li, S Chen, D Xie, M Yu, Q Li
    Year: 2023

 

  • Title: Comparative analysis of SLAM algorithms for mechanical LiDAR and solid-state LiDAR
    Authors: B Zhou, D Xie, S Chen, H Mo, C Li, Q Li
    Year: 2023

 

  • Title: Research on SLAM based on LiDAR/visual fusion (LV-SLAM)
    Authors: C Shoubin
    Year: 2023

 

  • Title: Cooperative smartphone GNSS/PDR for pedestrian navigation
    Authors: C Jiang, Y Chen, C Chen, S Chen, Q Meng, Y Bo, J Hyyppa
    Year: 2022

 

  • Title: Indoor Attitude Estimation Using Equipped Gyroscopes and Depth Sensors
    Authors: Q Shi, Z Song, Z Xiao, S Chen, F Wang
    Year: 2022

 

  • Title: LI-SLAM: Fusing LiDAR and Infrared Camera for Simultaneous Localization and Mapping
    Authors: B Zhou, D Xie, S Chen, C Li, H Mo
    Year: 2022

 

  • Title: NDT-LOAM: A real-time LiDAR odometry and mapping with weighted NDT and LFA
    Authors: S Chen, H Ma, C Jiang, B Zhou, W Xue, Z Xiao, Q Li
    Year: 2021

 

✅ Conclusion

In conclusion, Dr. Shoubin Chen exhibits all the core qualities of a Best Researcher Award recipient: deep scientific insight, proven research leadership, strong publication and patent output, and a visionary approach to solving real-world problems through AI and robotics. While there are opportunities to grow his international footprint, his current accomplishments already place him among the leading young researchers in his field. Based on the evidence of impact, innovation, and research excellence, he is highly suitable for the Best Researcher Award.

Ali Esmaeilzadeh Pilehroud | Clinical Neuroscience | Neuroscience Academic Distinction Award

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Dr. Ali Esmaeilzadeh Pilehroud | Clinical Neuroscience | Neuroscience Academic Distinction Award

Dr. Ali Esmaeilzadeh,  Pilehroud Allameh Tabataba’i University, Iran.

Ali Esmaeilzadeh Pilehroud is a distinguished teacher and university professor at Allameh Tabataba’i University in Tehran, specializing in psychology with a strong focus on neuroscience and child cognition. Holding a Ph.D. and an international certificate in psychotherapy for children, he has seamlessly blended academic excellence with practical expertise. His career is marked by significant research projects, multiple influential publications, and a commitment to nurturing future psychologists. His work consistently bridges scientific innovation with educational impact, earning him recognition both nationally and internationally.

Profile

Google Scholar

 

🎓 Early Academic Pursuits

Ali Esmaeilzadeh Pilehroud began his academic journey with a profound passion for understanding the human mind. He earned his Ph.D. in Psychology from the prestigious Allameh Tabataba’i University in Tehran, where his research laid a strong foundation for his future contributions to the fields of psychology and psychotherapy. Additionally, he obtained an international certificate specializing in psychology and psychotherapy for children, reflecting his early commitment to focusing on child development and mental health.

🏛️ Professional Endeavors

Following his academic accomplishments, Ali Esmaeilzadeh Pilehroud embarked on a dual career as a teacher and a university professor at Allameh Tabataba’i University, one of Iran’s leading institutions. His role bridges both education and mentorship, allowing him to mold the minds of future psychologists. His deep involvement in both theoretical and practical aspects of psychology demonstrates his dedication to merging academic excellence with real-world application.

🧠 Contributions and Research Focus

Ali Esmaeilzadeh Pilehroud’s research primarily revolves around neuroscience and child cognition, highlighting his interest in the biological and psychological foundations of development. He has successfully completed two major research projects exploring these domains, contributing valuable insights to the scientific community. His work emphasizes understanding how early neural and cognitive development can be supported through targeted psychological interventions, particularly benefiting children’s growth and mental wellness.

📚 Books and Publications

A testament to his scholarly dedication, Ali Esmaeilzadeh Pilehroud has authored five volumes of academic and professional books, each carrying its own ISBN. These publications enrich the fields of psychology and child development, providing important resources for both students and practicing professionals. His writings are characterized by their accessibility and depth, offering readers a thorough understanding of complex psychological concepts.

🏆 Accolades and Recognition

Throughout his career, Ali Esmaeilzadeh Pilehroud has earned recognition for his contributions to academia and child psychology. His research works have been cited by peers, showcasing their influence and relevance. Additionally, his international certification in psychotherapy further underscores his standing in the global psychology community, distinguishing him as a leader in child-focused psychological practices.

🌍 Impact and Influence

Ali Esmaeilzadeh Pilehroud’s influence extends beyond the classroom and research labs. By integrating neuroscience with child psychology, he has advanced new methods for fostering cognitive development in children. His approach encourages educational reforms and therapeutic practices that are informed by scientific research, ultimately benefiting countless young lives and shaping a more scientifically informed society.

✨ Legacy and Future Contributions

Looking to the future, Ali Esmaeilzadeh Pilehroud remains committed to expanding his research and educational impact. His legacy is built upon a solid foundation of scientific inquiry, educational mentorship, and contributions to child psychotherapy. With plans to pursue further innovative projects, he aims to continue inspiring the next generation of psychologists while deepening the global understanding of child cognition and development.

Publication

  • Title: Lack of association between interleukin-10 gene promoter polymorphisms with HIV susceptibility and progression to AIDS
    Authors: A. Ramezani, E. Kalantar, A. Aghakhani, M. Banifazl, M. Foroughi, et al.
    Year: 2015

 

  • Title: Evaluation of acquired HIV drug resistance among people living with HIV who have taken antiretroviral therapy for 9–15 months in 14 triangular clinics in Iran, 2015–2016
    Authors: M. Mohraz, K. Tayeri, H. Namdari Tabar, Z. Bayat Jozani, L. Sadeghi, et al.
    Year: 2019

 

  • Title: Different Degrees of Immune Recovery Using Antiretroviral Regimens with Vonavir or Zidovudine/Lamivudine/Efavirenz in HIV-Positive Patients Receiving First Line Treatment in Iran
    Authors: L. Sadeghi, S. Moallemi, R.A. Tabatabai, A. Esmaeilzadeh, S. Ahsani-Nasab, et al.
    Year: 2018

 

  • Title: Enhanced immune responses against HIV-1 with Adenovector (gag and tat) prime/protein boost regimen and GM-CSF injection
    Authors: N.H. Rouzbahani, S. Bayanolhagh, M. Gholami, A. Esmaeilzadeh, Z.B. Jozani, et al.
    Year: 2016

 

  • Title: Comparing Theory of Mind and Executive Functions in Obsessive Compulsive Disorder, Schizophrenia, and Normal Individuals
    Authors: نیکجو وکیل آباد, اسمعیل زاده پیله رود (Nikjoo Vakilabad, Esmaeilzadeh Pilerood)
    Year: (Not clear—year not given, but possibly recent.)

 

🖋️ Conclusion

Through a lifelong dedication to psychology, research, and teaching, Ali Esmaeilzadeh Pilehroud has made lasting contributions to child development studies and cognitive neuroscience. His legacy is not only evident in his scholarly books and research projects but also in the lives of the students and professionals he has mentored. Looking ahead, he continues to inspire and innovate, shaping the future of psychological science and fostering better mental health outcomes for children worldwide.

Ali Mehri | Neuroscience | Neuroscience Research Pioneer Award

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Dr. Ali Mehri | Neuroscience | Neuroscience Research Pioneer Award

Dr. Ali Mehri Babol, Noshirvani University of Technology, Iran.

Dr. Ali Mehri is a prominent physicist whose academic journey has bridged the fields of solid-state physics, data science, and complex systems. With a Ph.D. in Solid State Physics from the University of Zanjan, his research explores novel interdisciplinary areas such as text mining, complex networks, and thermal and electronic transport in nanostructures. His work, particularly in the application of physical principles to data mining and linguistic studies, has significantly contributed to both theoretical and applied physics. Additionally, his research on the statistical properties of irrational numbers and the connection between Zipf’s exponent and language distribution has broadened the scope of complex systems analysis.

Profile

Google Scholar

Early Academic Pursuits 🎓

Dr. Ali Mehri began his academic journey in physics with a focus on solid-state physics. He completed his Bachelor’s degree in Solid State Physics at Kharazmi University in Tehran, Iran, in 2002. His passion for condensed matter physics led him to pursue a Master’s degree at the Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, where he focused on colloidal monolayers in the presence of periodic light fields. Under the guidance of Professor Mir Faez Miri, he laid the foundation for his future research. In 2008, Dr. Mehri earned his Ph.D. in Solid State Physics from the University of Zanjan, where he studied the role of entropy in text mining under the supervision of Professor Amir Hossein Darooneh. This pivotal research provided him with a unique perspective that blends physics with data science.

Professional Endeavors 💼

After completing his education, Dr. Mehri embarked on a career in academia, where he has established himself as a dedicated educator and researcher. He currently serves as a faculty member at the Department of Physics, Babol Noshirvani University of Technology. His professional journey is marked by his deep involvement in research, teaching, and mentoring students, particularly in the fields of data and text mining, complex networks theory, and nanostructures. Over the years, he has collaborated with various national and international researchers, enhancing the global visibility of his work in these specialized areas of study.

Contributions and Research Focus 🔬

Dr. Mehri’s research interests lie at the intersection of physics and data science. His work on text mining using the Hurst exponent is a significant contribution to the emerging field of applying physical principles to analyze textual data. He has also explored the intriguing topic of irrational numbers by studying statistical distances to determine the order of digits. Furthermore, Dr. Mehri’s research extends to the correlation between Zipf’s exponent and the geographical distribution of human languages, which connects his expertise in complex networks theory with linguistics. His exploration of thermal and electronic transport in nanostructures adds a solid foundation to his contributions in condensed matter physics.

Accolades and Recognition 🏅

Throughout his academic career, Dr. Ali Mehri has received numerous accolades for his research contributions. His work, particularly in data mining and complex networks, has earned him recognition both in Iran and internationally. Dr. Mehri’s research has been cited in various scientific journals, showcasing the relevance and impact of his work in advancing knowledge within his fields. His academic achievements have solidified his reputation as a forward-thinking physicist who bridges the gap between theoretical and applied sciences.

Impact and Influence 🌍

Dr. Mehri’s work has had a profound impact on various scientific communities, particularly in the fields of data mining, complex networks, and nanostructures. By introducing concepts like the Hurst exponent to text mining and exploring the relationships between statistical distances and irrational numbers, his research has influenced not only physics but also the interdisciplinary applications of data science. His contributions to understanding the connection between language distribution and Zipf’s law have opened new avenues for researchers in both physics and linguistics, highlighting the diverse impact of his work across disciplines.

Legacy and Future Contributions 🕰️

As Dr. Mehri continues to push the boundaries of research, his legacy will be defined by his ability to merge complex concepts from physics with innovative methodologies from data science. His future contributions are expected to further enhance the understanding of nanostructures, electronic transport, and complex systems. Moreover, his pioneering work in text mining and the analysis of irrational numbers has the potential to lead to groundbreaking advancements in computational physics and data analytics. As his research evolves, Dr. Mehri’s work will undoubtedly inspire future generations of physicists and data scientists, reinforcing his lasting influence in these fields.

Publication

  • Title: The complex networks approach for authorship attribution of books
    Authors: A Mehri, AH Darooneh, A Shariati
    Year: 2012

 

  • Title: Variation of Zipf’s exponent in one hundred live languages: A study of the Holy Bible translations
    Authors: A Mehri, M Jamaati
    Year: 2017

 

  • Title: A nonextensive modification of the Gutenberg–Richter law: q-stretched exponential form
    Authors: AH Darooneh, A Mehri
    Year: 2010

 

  • Title: Word ranking in a single document by Jensen–Shannon divergence
    Authors: A Mehri, M Jamaati, H Mehri
    Year: 2015

 

  • Title: The role of entropy in word ranking
    Authors: A Mehri, AH Darooneh
    Year: 2011

 

  • Title: Keyword extraction by nonextensivity measure
    Authors: A Mehri, AH Darooneh
    Year: 2011

 

  • Title: Tsallis entropy, escort probability and the incomplete information theory
    Authors: AH Darooneh, G Naeimi, A Mehri, P Sadeghi
    Year: 2010

 

  • Title: Text mining by Tsallis entropy
    Authors: M Jamaati, A Mehri
    Year: 2018

 

  • Title: Power-law regularities in human language
    Authors: A Mehri, SM Lashkari
    Year: 2016

 

  • Title: Non-extensive distribution of human eye photoreceptors
    Authors: A Mehri
    Year: 2017

 

Conclusion

Dr. Mehri’s professional career, marked by teaching and research at Babol Noshirvani University of Technology, has earned him national and international recognition. His research continues to influence fields as diverse as data science, linguistics, and condensed matter physics. Looking ahead, his work promises to advance the understanding of nanostructures and foster the further integration of physics with computational and data sciences. Dr. Mehri’s legacy will likely continue to inspire future generations of scientists, underscoring the importance of interdisciplinary collaboration in driving scientific progress.

Jun Xia | Central Nerous System | Best Scholar Award

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Dr. Jun Xia | Central Nerous System| Best Scholar Award

Dr. Jun Xia,  Shenzhen Second People’s Hospital, China.

Dr. Jun Xia, Chief Physician and Deputy Director of the Department of Medical Imaging at Shenzhen Second People’s Hospital, is a distinguished expert with over 30 years of experience in medical imaging. His work focuses on neurological diagnostics, functional imaging, AI-assisted diagnostics, and rare disease consultations. Dr. Xia has published 52 journal articles, including 39 SCI papers with a cumulative impact factor exceeding 100, and authored six books. He holds three patents and has led 15 research projects, including collaborations on pioneering AI-based diagnostic tools. His expertise is recognized globally through editorial appointments, conference presentations, and professional memberships.

 

profile

Scholar

🎓 Academic and Professional Background

Dr. Jun Xia, a Ph.D. holder and medical imaging expert, boasts 30+ years of experience in neurological diagnostics, functional imaging, AI-assisted diagnostics, and rare disease consultations.  He has published 39 SCI papers with an impact factor exceeding 100, reviewed national research funds, and presented at top-tier conferences such as RSNA and ECR.

💡 Research and Innovations

Completed/Ongoing Research Projects: 15. Citation Index: Not specified. Consultancy/Industry Projects: Not specified.Books Published (ISBN): 6.ISBN: 9787117274296, 9787117235983, 9787535767066, 9787535767080, 9787523513552, 9787117331340.Patents Published/Under Process: 3.Journals Published (SCI, Scopus, etc.): 52

Representative Papers:

European Radiology (2024): Feasibility of CT-based synthetic brain T1-weighted MRI.Information Fusion (2022): Explainable AI via multi-modal and multi-centre data fusion.European Radiology (2022): MRI neuroimaging for prognosis in hydrocephalus patients post-shunt surgery.Neural Computing & Applications (2022): AI-based e-Diagnosis for ventricular volume measurement.Quantitative Imaging in Medicine and Surgery (2022): MRI synthesis from CT using CNNs with contextual loss.

🌐 Professional Memberships

Member, Head and Neck Committee, Radiology Branch, Chinese Medical Association.Member, Neuroregeneration and Repair Professional Committee, Chinese Research Hospital AssociationMember, Magnetic Resonance Application Professional Committee, China Medical EquipmentAssociation.Member, Neurology Group, Radiology Branch, Guangdong Medical AssociationMember, Radiology Branch, Shenzhen Medical Association

🏆 Contributions

Dr. Jun Xia has made exceptional contributions in medical imaging, excelling in advanced diagnostic techniques for CNS, musculoskeletal, and abdominal diseases. His expertise in neuroimaging and AI-assisted diagnostics has led to groundbreaking solutions in patient care. With numerous impactful publications and clinical innovations, he continues to advance the field of medical imaging.

📚 Publications

  • Artificial intelligence distinguishes COVID-19 from community-acquired pneumonia on chest CT
    Authors: L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, …
    Year: 2020

 

  • Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy
    Authors: L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, …
    Year: 2020

 

  • Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
    Authors: G Yang, Q Ye, J Xia
    Year: 2022

 

  • Weakly supervised deep learning for COVID-19 infection detection and classification from CT images
    Authors: S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, …
    Year: 2020

 

  • Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
    Authors: H Ye, F Gao, Y Yin, D Guo, P Zhao, Y Lu, X Wang, J Bai, K Cao, Q Song, …
    Year: 2019

 

  • A single-center, retrospective study of COVID-19 features in children: a descriptive investigation
    Authors: H Ma, J Hu, J Tian, X Zhou, H Li, MT Laws, LD Wesemann, B Zhu, …
    Year: 2020

 

  • Swin transformer for fast MRI
    Authors: J Huang, Y Fang, Y Wu, H Wu, Z Gao, Y Li, J Del Ser, J Xia, G Yang
    Year: 2022

 

  • Explainable AI for COVID-19 CT classifiers: an initial comparison study
    Authors: Q Ye, J Xia, G Yang
    Year: 2021

 

  • Radiomics nomogram building from multiparametric MRI to predict grade in patients with glioma: a cohort study
    Authors: Q Wang, Q Li, R Mi, H Ye, H Zhang, B Chen, Y Li, G Huang, J Xia
    Year: 2019

 

  • Learning tree-structured representation for 3D coronary artery segmentation
    Authors: B Kong, X Wang, J Bai, Y Lu, F Gao, K Cao, J Xia, Q Song, Y Yin
    Year: 2020

 

Conclusion

Dr. Jun Xia’s contributions to medical imaging have significantly advanced the field, particularly in AI-driven diagnostics and functional neuroimaging. His innovative research, extensive publications, and clinical applications underscore his status as a leader in the domain. With a proven track record of excellence and groundbreaking work, Dr. Xia exemplifies the qualities of a visionary researcher and a transformative figure in medical imaging.