Baoshun Shi | Metal artifact reduction| Best Researcher Award

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Assoc.Prof.Dr. Baoshun Shi | Metal artifact reduction| Best Researcher Award

Assoc. Prof. Dr.  Baoshun Shi,  Yanshan University,  China.

Baoshun Shi is an esteemed researcher and academic in medical imaging, specializing in CT/MRI reconstruction, deep dictionary learning, and computational imaging. His academic journey from Yanshan University to his current role as an Associate Professor has been marked by groundbreaking research and mentorship. His work has significantly contributed to medical diagnostics, receiving recognition through prestigious grants and impactful publications. His innovations continue to shape the future of medical imaging technologies.

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Early Academic Pursuits ✨

Baoshun Shi embarked on his academic journey with a deep fascination for electronic science and technology. His rigorous training at Yanshan University laid a strong foundation for his expertise in imaging sciences. Under the mentorship of Prof. Qiusheng Lian, he pursued both his Master’s and Ph.D. degrees from 2012 to 2017, immersing himself in advanced research on electronic imaging and computational techniques. His early studies revolved around the intricacies of image reconstruction and enhancement, which would later define his contributions to medical imaging and deep learning methodologies.

Professional Endeavors 🎓

After completing his doctorate, Baoshun Shi transitioned into academia as a Lecturer at the School of Information Science and Engineering at Yanshan University in 2017. His passion for research and education quickly propelled him to the position of Associate Professor in 2021. In this role, he has been instrumental in shaping the next generation of scholars while spearheading groundbreaking studies in medical imaging. His dedication to academic excellence is evident in his mentorship and continuous efforts to push the boundaries of imaging technology.

Contributions and Research Focus 🌍

Baoshun Shi’s research is centered on revolutionizing medical imaging through advanced computational models. His work spans multiple domains, including CT/MRI reconstruction, medical image analysis, deep dictionary learning, and compressed imaging. He has extensively explored imaging inverse problems, leveraging deep learning and model-driven approaches to enhance diagnostic accuracy and efficiency. His innovative methodologies in sparse-view CT reconstruction and metal artifact reduction have significantly contributed to the evolution of medical imaging solutions, making them more precise and accessible.

Accolades and Recognition 🏆

Recognized for his pioneering work, Baoshun Shi has secured prestigious research grants and accolades. As the Principal Investigator, he has led multiple national and provincial research projects, including grants from the National Natural Science Foundation of China and the Hebei Natural Science Foundation. His projects, focused on deep dictionary learning and unsupervised imaging techniques, have earned him a distinguished reputation in the field of medical imaging. His contributions are acknowledged not only through research funding but also through the impact his findings have had on computational imaging advancements.

Impact and Influence 🔄

Baoshun Shi’s research has had far-reaching implications, transforming the landscape of medical imaging and computational diagnostics. His deep-learning-driven approaches have set new benchmarks in image reconstruction, enabling more accurate and efficient analysis of CT and MRI scans. His work has been instrumental in reducing imaging artifacts, improving resolution, and optimizing sparse-view imaging, thereby enhancing diagnostic capabilities. His influence extends beyond research papers, as his findings are being implemented in real-world medical applications, benefiting both practitioners and patients alike.

Legacy and Future Contributions 🌟

As a thought leader in medical imaging and computational science, Baoshun Shi continues to shape the future of imaging technologies. His ongoing research in deep dictionary networks and unsupervised learning models aims to push the boundaries of what is possible in diagnostic imaging. With an unwavering commitment to scientific advancement, he strives to develop cutting-edge solutions that will further enhance medical diagnostics, making them more efficient and accessible. His legacy is one of innovation, mentorship, and transformative contributions to the field of imaging science, paving the way for future breakthroughs.

 

Publication

  • Research advances on dictionary learning models, algorithms and applications – QS Lian, BS Shi, SZ Chen (2015)

 

  • Constrained phase retrieval: when alternating projection meets regularization – B Shi, Q Lian, X Huang, N An (2018)

 

  • Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method – B Shi, Q Lian, H Chang (2020)

 

  • Multi‐scale cross‐path concatenation residual network for Poisson denoising – Y Su, Q Lian, X Zhang, B Shi, X Fan (2019)

 

  • Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection – L Qiusheng, F Xiaoyu, S Baoshun, Z Xiaohua (2020)

 

  • Compressed sensing MRI with phase noise disturbance based on adaptive tight frame and total variation – F Xiaoyu, L Qiusheng, S Baoshun (2017)

 

  • Provable general bounded denoisers for snapshot compressive imaging with convergence guarantee – B Shi, Y Wang, D Li (2023)

 

  • FASPR: A fast sparse phase retrieval algorithm via the epigraph concept – B Shi, S Chen, Y Tian, X Fan, Q Lian (2018)

 

  • PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems – B Shi, Q Lian, X Fan (2019)

 

  • Transfer orthogonal sparsifying transform learning for phase retrieval – Q Lian, B Shi, S Chen (2017)

 

Conclusion 📝

Baoshun Shi’s contributions to medical imaging and computational diagnostics have been transformative. His expertise in deep learning, imaging inverse problems, and artifact reduction has paved the way for more accurate and efficient diagnostic methods. As he continues to push the boundaries of scientific discovery, his legacy remains one of innovation and impact, ensuring that medical imaging evolves to better serve the healthcare industry and patients worldwide.

John Vincent Sanchez Orti | Biomarkers in Neurocognition | Young Scientist Award

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Dr. John Vincent Sanchez Orti | Biomarkers in Neurocognition | Young Scientist Award

Dr. Joan Vicent Sánchez Ortí, Health research institute,  Spain.

Joan Vicent Sánchez Ortí is a Clinical Psychologist and Neuropsychologist currently working as a Research Technician at the Instituto de Investigación Sanitaria – INCLIVA. He is also a predoctoral researcher affiliated with CIBERSAM (Group 24, Universitat de València). His academic background includes a Bachelor’s degree in Psychology (2016), a Master’s in General Health Psychology (2019), and a Master’s in Basic and Applied Neurosciences (2021), all from Universitat de València. He is currently pursuing a Ph.D. in Medicine.

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🧠 A Passion for Understanding the Mind

Joan Vicent Sánchez Ortí was born on August 6, 1994, with an innate curiosity about the complexities of human cognition. From an early age, he displayed a deep interest in psychology and neuroscience, which led him to pursue an academic path dedicated to unraveling the mysteries of the brain. His journey began at the Universitat de València, where he obtained his degree in Psychology in 2016. Motivated by his growing fascination with neuropsychology, he continued his studies, earning a Master’s in General Health Psychology in 2019 and a Master’s in Basic and Applied Neurosciences in 2021. His dedication to advancing medical science led him to enroll in an official Doctorate Program in Medicine at the same institution.

🏥 Bridging Psychology and Neuroscience in Professional Practice

Currently serving as a Neuropsychologist and Research Technician at the Health Research Institute (INCLIVA) in Spain, Joan Vicent plays a vital role in understanding cognitive impairments associated with severe mental disorders. His affiliation with the Biomedical Research Center in Mental Health Network (CIBERSAM) – Group 24 at the Universitat de València has allowed him to contribute significantly to groundbreaking studies. His expertise lies in assessing neurocognitive deficits, biomarkers, and epigenetic factors, aiming to enhance the diagnosis and treatment of psychiatric and neurological conditions.

🔬 Advancing Research in Neurocognitive Deficits and Mental Health

Joan Vicent’s research delves into the intricate connections between brain function, cognition, and mental health. His studies focus on identifying early biomarkers of cognitive decline, exploring epigenetic influences, and evaluating social functioning and quality of life in patients suffering from severe mental disorders. His contributions have been instrumental in improving the understanding of conditions such as schizophrenia, bipolar disorder, and neurodegenerative diseases, providing valuable insights for clinical interventions.

🏆 Recognized for Excellence in Neuroscience and Psychology

Through his commitment to scientific discovery, Joan Vicent has garnered recognition in the field of neuroscience and psychology. His contributions to neuropsychology and mental health research have positioned him as a promising figure in cognitive science. His work is widely acknowledged for its impact on the development of new therapeutic approaches and diagnostic techniques. With a strong academic and research background, he continues to be an influential voice in the study of cognitive impairment.

🌍 Impacting Lives Through Mental Health Research

Beyond academic achievements, Joan Vicent’s work has real-world implications, improving the quality of life for individuals facing cognitive challenges. His research contributes to developing more effective treatments, enhancing diagnostic accuracy, and fostering a better understanding of mental disorders. Through his role at INCLIVA and CIBERSAM, he actively collaborates with interdisciplinary teams, ensuring that his findings are translated into clinical practice, ultimately benefiting patients and healthcare professionals alike.

🚀 Paving the Way for Future Innovations in Neuropsychology

With a strong foundation in psychology, neuroscience, and medicine, Joan Vicent remains dedicated to pushing the boundaries of cognitive research. His ongoing studies aim to integrate cutting-edge techniques in neuroimaging, genetics, and artificial intelligence to refine the understanding of neurocognitive disorders. His ambition is to contribute to the development of personalized medicine, where treatments are tailored to an individual’s neurobiological and psychological profile, revolutionizing mental healthcare.

🔮 A Vision for a Healthier, Cognitively Resilient Future

Looking ahead, Joan Vicent Sánchez Ortí envisions a world where mental health is better understood, diagnosed, and treated with precision. His dedication to neuropsychology and cognitive research will continue to shape the future of mental healthcare, inspiring new generations of scientists and clinicians. As he advances in his career, his unwavering commitment to improving lives through research stands as a testament to his passion and perseverance in the field of neuroscience.

Publication

  • Manual motor speed dysfunction as a neurocognitive endophenotype in euthymic bipolar disorder patients and their healthy relatives. Evidence from a 5-year follow-up study
    P Correa-Ghisays, V Balanzá-Martínez, G Selva-Vera, J Vila-Francés, …
    2017

 

  • Grip Strength, Neurocognition, and social functioning in people With Type-2 diabetes mellitus, major depressive disorder, bipolar disorder, and schizophrenia
    M Aliño-Dies, JV Sanchez-Orti, P Correa-Ghisays, V Balanzá-Martinez, …
    2020

 

  • Visual memory dysfunction as a neurocognitive endophenotype in bipolar disorder patients and their unaffected relatives. Evidence from a 5-year follow-up Valencia study
    P Correa-Ghisays, JV Sánchez-Ortí, R Ayesa-Arriola, E Setién-Suero, …
    2019

 

  • Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders
    JV Sanchez‐Orti, V Balanzá‐Martinez, P Correa‐Ghisays, G Selva‐Vera, …
    2022

 

  • Immune–Inflammatory Biomarkers Predict Cognition and Social Functioning in Patients With Type 2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and …
    M Garés-Caballer, JV Sánchez-Ortí, P Correa-Ghisays, …
    2022

 

  • Probiotic, prebiotic, synbiotic and fermented food supplementation in psychiatric disorders: A systematic review of clinical trials
    C Ribera, JV Sánchez-Ortí, G Clarke, W Marx, S Mörkl, …
    2024

 

  • Transdiagnostic neurocognitive deficits in patients with type 2 diabetes mellitus, major depressive disorder, bipolar disorder, and schizophrenia: A 1-year follow-up study
    P Correa-Ghisays, JV Sanchez-Orti, V Balanza-Martinez, G Selva-Vera, …
    2022

 

  • Inflammation and lipid metabolism as potential biomarkers of memory impairment across type 2 diabetes mellitus and severe mental disorders
    JV Sanchez-Orti, P Correa-Ghisays, V Balanza-Martinez, G Selva-Vera, …
    2023

 

  • MICEmi: A method to identify cognitive endophenotypes of mental illnesses
    P Correa-Ghisays, JV Sanchez-Orti, V Balanza-Martinez, I Fuentes-Dura, …
    2022

 

  • Specific immune-inflammatory profiles and neurocognitive deficits predict illness trajectories in people with type 2 diabetes mellitus or psychiatric disorders
    JV Sanchez-Orti, P Correa-Ghisays, V Balanza-Martinez, G Selva-Vera, …
    2025

 

Conclusion 🎯

Joan Vicent Sánchez Ortí’s dedication to neuroscience and mental health research positions him as an influential figure in the field. His expertise bridges psychology, medicine, and genetics, offering innovative solutions for cognitive disorders. With a strong commitment to improving lives through research, his work has already made a meaningful impact and will continue to shape the future of mental healthcare, neuropsychology, and personalized medicine. As he advances in his career, his passion and contributions will undoubtedly lead to groundbreaking discoveries in cognitive science.