Micaela Dugan | Neurology | Best Researcher Award

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Ms. Micaela Dugan | Neurology | Best Researcher Award

University of Michigan Medical School | United States

Ms. Micaela Dugan demonstrates outstanding research versatility, engaging in both clinical and basic science projects with methodological rigor. With 23 citations, 9 documents, and an h-index of 3, her peer-reviewed publications, correspondence in high-impact journals, and national presentations underscore her scientific credibility. Leadership roles in community health, harm reduction, and advocacy highlight her dedication to translating research into societal impact. Areas for improvement include expanding multi-center collaborations, pursuing longitudinal studies, and strengthening grant-writing experience to support independent research. Her future research potential is significant, particularly in perioperative care, pain management, and substance use interventions, where she can integrate clinical insights with translational approaches to improve patient outcomes. Overall, Ms. Dugan’s combination of rigorous scientific training, productive scholarship, and proactive leadership positions her as an exemplary candidate for the Research for Best Researcher Award. Her ongoing dedication to advancing both knowledge and community health ensures she will continue making transformative contributions to medicine and research.

Profile: Scopus

Featured Publications

Dugan, M. Q. (2025). Antiseizure medication discontinuation: A mixed-methods exploration of factors considered by patients when approaching decision-making. Epilepsy Research.

Apoorva Safai | Neuroscience | Best Researcher Award

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Dr. Apoorva Safai | Neuroscience | Best Researcher Award 

Postdoctoral Research Associate, at University of Wisconsin-Madison, United States.

Dr. Apoorva Safai is a distinguished researcher specializing in neuroimaging, with a focus on deep learning applications in medical imaging and multimodal MRI analysis. She is currently a Postdoctoral Research Associate at the Integrating Diagnostics and Analytics (IDiA) Lab at the University of Wisconsin–Madison. Throughout her career, Dr. Safai has contributed significantly to understanding neurological disorders, particularly Parkinson’s disease and Alzheimer’s disease. Her research integrates advanced imaging techniques with machine learning to uncover intricate patterns in brain connectivity and structure. Dr. Safai’s work has been recognized through various awards and grants, underscoring her commitment to advancing medical imaging and neurodegenerative disease research. ​Idia Labs

Professional Profile

Scopus

ORCID

Google scholar

Education 🎓

Dr. Safai’s academic journey began with a Bachelor of Engineering in Electronics Engineering from P.V.P.I.T College, University of Pune, where she graduated with 65.4% marks in 2012. She pursued a Master of Technology in Biomedical Engineering at VIT University, Vellore, achieving a CGPA of 8.49 in 2015. Her passion for research led her to earn a PhD in Engineering from Symbiosis International University, Pune, between 2018 and 2023. Her doctoral research focused on developing a multimodal brain connectomic framework employing graph attention networks on structural and functional brain data, aiming to enhance the prediction and understanding of neurological disorders. ​Idia Labs

Experience 🧠

Dr. Safai’s professional experience is rich and diverse. Since April 2023, she has been serving as a Postdoctoral Research Associate at the IDiA Lab, University of Wisconsin–Madison, focusing on deep learning applications in optical coherence tomography and neuroimaging. Prior to this, she was a Senior Research Fellow and PhD Scholar at the Symbiosis Centre for Medical Image Analysis, Pune, from September 2021 to May 2022, where she worked on multimodal MRI analysis and deep learning models for neurological disorders. She also held the position of Technical Assistant in Imaging at the Department of Neuroimaging, NIMHANS, Bangalore, from May 2017 to August 2018, contributing to the Indo-UK project cVEDA, focusing on fMRI data acquisition and analysis. ​Idia Labs+1Google Scholar+1

Research Interests 🔬

Dr. Safai’s research interests lie at the intersection of neuroimaging and artificial intelligence. She specializes in multimodal MRI analysis, aiming to integrate various imaging modalities to provide a comprehensive understanding of brain structure and function. Her work in deep learning in medical imaging seeks to develop algorithms that can assist in the early detection and monitoring of neurological disorders such as Parkinson’s and Alzheimer’s diseases. By leveraging advanced computational techniques, Dr. Safai aims to uncover biomarkers and patterns that can lead to better diagnosis and treatment strategies for these conditions. ​

Awards 🏆

Dr. Safai’s contributions to neuroimaging and medical imaging have been recognized through several prestigious awards. She received the Alzheimer’s Association Research Fellowship to Promote Diversity (AARF-D) grant for 2025–2027, supporting her project titled “Multimodal AI-based Predictor of Alzheimer’s Disease (MAP-AD).” In 2020, she was awarded the ISMRM student research exchange grant for her proposal on high temporal resolution fMRI acquisition and advanced analysis for identifying reliable imaging markers for Parkinson’s disease. Additionally, she received a travel grant from the Movement Disorder Society for the MDS Conference in 2019 and an educational stipend from ISMRM for the same year’s conference, highlighting her active engagement and recognition in the scientific community. ​

Top Noted Publications 📚

  • Microstructural abnormalities of substantia nigra in Parkinson’s disease: A neuromelanin sensitive MRI atlas-based study

    • Year: 2020

    • Journal: Human Brain Mapping

    • Citations: 35 (PubMed)

    • Summary: This study investigates microstructural changes in the substantia nigra of Parkinson’s disease patients using neuromelanin-sensitive MRI, providing an atlas-based approach for assessing disease-related abnormalities.

  • Multimodal brain connectomics-based prediction of Parkinson’s disease using graph attention networks

    • Year: 2022

    • Journal: Frontiers in Neuroscience

    • Citations: 16 (Google Scholar)

    • Summary: The research utilizes graph attention networks (GATs) to analyze multimodal brain connectomics data for predicting Parkinson’s disease, demonstrating the effectiveness of deep learning in neurological disorder classification.

  • Disrupted structural connectome and neurocognitive functions in Duchenne muscular dystrophy: classifying and subtyping based on Dp140 dystrophin isoform

    • Year: 2022

    • Journal: Journal of Neurology

    • Citations: 11 (Loop)

    • Summary: This study explores the relationship between structural brain connectivity disruptions and neurocognitive deficits in Duchenne muscular dystrophy, with a focus on the Dp140 dystrophin isoform for patient subtyping.

  • Developing a radiomics signature for supratentorial extra-ventricular ependymoma using multimodal MR imaging

    • Year: 2021

    • Journal: Frontiers in Neurology

    • Citations: 5 (Google Scholar)

    • Summary: The research develops a radiomics-based approach using multimodal MRI to characterize supratentorial extra-ventricular ependymoma, enhancing tumor classification and diagnosis.

  • Quantifying Geographic Atrophy in Age-Related Macular Degeneration: A Comparative Analysis Across 12 Deep Learning Models

    • Year: 2024

    • Journal: Investigative Ophthalmology & Visual Science

    • Summary: This study compares the performance of 12 deep learning models in quantifying geographic atrophy in age-related macular degeneration, assessing their accuracy and reliability for clinical applications.

Conclusion

Apoorva Safai is a highly qualified candidate for the Best Researcher Award based on her strong academic background, impactful research, prestigious grants, and leadership in medical imaging and deep learning. Addressing minor improvements in authorship and funding scale would further elevate her profile. Overall, she is an excellent contender for the award.

Luca Faes | Computational neuroscience | Best Researcher Award

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Prof. Luca Faes | Computational neuroscience | Best Researcher Award

Professor, University of Palermo, Italy

Prof. Luca Faes is a Full Professor at the Department of Engineering, University of Palermo, Italy. He earned his MSc in Electronic Engineering (1998) from the University of Padova and a PhD in Electronic Devices (2003) from the University of Trento. His research focuses on biomedical signal processing, information dynamics, and physiological networks. He has held positions at institutions such as the Bruno Kessler Foundation, University of Trento, and has been a visiting researcher in the USA, Belgium, and Brazil. A recipient of multiple awards, including the IEEE Senior Member recognition, Prof. Faes has been named among the World’s Top 2% Scientists by Stanford University. He actively contributes to academic programs, Erasmus+ initiatives, and editorial boards in biomedical engineering.

Publication Profile

Scopus

Orcid

Education

Prof. Luca Faes earned his Master’s degree (Italian Laurea) in Electronic Engineering cum laude from the University of Padova, Italy, in 1998 ⚙️. He then pursued a PhD in Electronic Devices at the University of Trento, Italy, in 2003 🏅. His academic journey laid the foundation for his expertise in biomedical engineering, signal processing, and complex system analysis 📡. With a strong background in electronic systems and bioengineering applications, he has made significant contributions to research and academia, shaping the field of biomedical signal processing and physiological network dynamics 🔬📊.

Professional Experience

Prof. Luca Faes has had a distinguished career in biomedical engineering and bioinformatics. He began as a Research Fellow (1999-2000) at ITC-irst, Trento, followed by a PhD at the University of Trento (2000-2003) 🎓. He held postdoctoral positions (2003-2013) at Trento’s Biophysics and BIOtech labs 🧬. Later, he became a Researcher (2014-2017) at FBK and Professor at the University of Palermo (2018-present) 🏅. His global research collaborations span USA, Belgium, and Brazil 🌍. Recognized as an IEEE Senior Member (2019) and among the World’s Top 2% Scientists (2021-2022), he is an esteemed expert in bioengineering and complex systems ⚙️📊.

Academic Contributions

Prof. Luca Faes has played a pivotal role in academic development and international collaborations. He has been a Doctorate Committee Member at CiMeC, University of Trento (2016-2017) and later at Palermo’s ICT Department (2018-present) 📚. He co-organized the Biomedical Engineering Master’s Program and serves as Vice Coordinator & Tutor for the Bachelor’s Program 🎓. As an Erasmus+ Coordinator, he has fostered partnerships with universities across Europe 🌍. He also leads the Biomedical Information Technologies Curriculum (2021-present) and organizes seminars with global scholars, strengthening biomedical and cybernetics engineering education 📡📊.

Teaching Contributions

Prof. Luca Faes has been actively involved in teaching since 1999, starting as a Teaching Assistant in General Physics II and Signal & Image Processing at the University of Trento 🎓. He has delivered specialized courses internationally, including Brazil 🇧🇷 (2015), IEEE MOOC (2016), and Portugal 🇵🇹 (2017). Since 2018, he has been a Tenured Professor at the University of Palermo, teaching Sensors, Biomedical Devices, and Statistical Analysis of Biomedical Signals 📊. His expertise in biomedical signal processing and sensor technology continues to shape future engineers in cybernetics and biomedical fields 🤖🔬.

🧠 Research Focus

Prof. Luca Faes specializes in computational neuroscience, biomedical engineering, and physiological signal processing. His research focuses on brain-heart interactions ❤️🧠, nonlinear dynamics 🔄, entropy measures 📊, and causal inference in physiological systems. He applies Granger causality and transfer entropy to analyze cardiovascular variability, cerebrovascular function, and neural synchronization. His work contributes to wearable health technology ⌚, autonomic regulation studies, and physiological stress assessment ⚡. He collaborates on machine learning 🤖 and high-order statistical modeling for biomedical applications. His interdisciplinary approach bridges neuroscience, physics, and AI-driven healthcare solutions. 🌍✨

Publication Top Notes

📄 Measures and Models of Brain-Heart Interactions – IEEE Reviews in Biomedical Engineering, 2025  🧠❤️

📄 Chaotic Dynamics and Synchronization under Tripartite Couplings – Chaos, Solitons and Fractals, 2024  🔄⚡

📄 Comparison of Feature Selection Methods for Physiological Stress Classification – Physiological Measurement, 2024  📊📈

📄 Disentangling High-Order Effects in Transfer Entropy – Physical Review Research, 2024 | 3 citations 🔗📡

📄 Assessing Granger Causality in Cerebrovascular Variability – IEEE Transactions on Biomedical Engineering, 2024 | 2 citations 🏥🧠

📄 Entropy Rate Measures for Time Series Complexity – Biocybernetics and Biomedical Engineering, 2024 | 4 citations 🔢📉

📄 Wearable Ring-Shaped Biomedical Device for Physiological Monitoring – Biosensors, 2024 | 3 citations ⌚📡

📄 Describing Cerebral Autoregulation via State Space Methods – Conference Paper, 2024 🏥📈

📄 Decomposing Transfer Entropy in Cardiovascular Interactions – Conference Paper, 2024 ❤️📊

📄 Gender Differences in Cardiovascular Variability Entropy – Conference Paper, 2024  🚻🫀

 

Kiyohisa KAMIMURA | Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Kiyohisa KAMIMURA | Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Kiyohisa KAMIMURA, Kagoshima University Graduate School of Medical and Dental Sciences, Japan

Dr. Kiyohisa Kamimura is a renowned radiologist and Specially Appointed Associate Professor at the Department of Advanced Radiological Imaging, Kagoshima University, Japan. He holds an M.D. and Ph.D. from Kagoshima University, with over two decades of experience in radiology, including leadership roles such as Chief Radiologist at Kirishima Medical Center. Dr. Kamimura is a board-certified member of multiple prestigious radiology societies, specializing in advanced imaging techniques. His active research collaborations with Shin Nippon Biomedical Laboratories (SNBL) highlight his commitment to medical innovation. He is recognized for his expertise in neuroradiology and magnetic resonance imaging. 🌟📡

 

Publication Profile

Orcid

Education Journey

Dr. Kiyohisa Kamimura pursued his extensive medical education at Kagoshima University, Japan. He began with a premedical program (1992–1994) before advancing to an undergraduate degree in medicine (1994–1998). He further honed his expertise by completing an M.D. and Ph.D. at Kagoshima University Graduate School of Medical and Dental Science (2000–2008). His academic journey reflects a steadfast dedication to medical excellence and radiological research, laying the foundation for his impactful career in advanced imaging and radiology. 🩺📖

 

Professional Experience

Dr. Kiyohisa Kamimura has an illustrious career in radiology spanning over two decades. Starting at Kagoshima University Medical and Dental Hospital (1998–2000), he worked at several esteemed institutions, including Kagoshima Prefectural Oshima Hospital and Nanpuh Hospital. He served as Chief Radiologist at Kirishima Medical Center (2013–2014) and Assistant Professor at Kagoshima University (2014–2023). Currently, he is a Specially Appointed Associate Professor in the Department of Advanced Radiological Imaging at Kagoshima University. His roles demonstrate expertise in radiology and a commitment to advancing medical imaging technologies. 🌟📡

 

Research Focus

Dr. Kiyohisa Kamimura specializes in advanced radiological imaging, with a focus on brain and tumor imaging. His research includes time-dependent MRI diffusion for differentiating pituitary tumors, glioblastomas, brain metastases, and primary CNS lymphomas. He also explores MR amide proton transfer imaging and dynamic contrast-enhanced MRI for tumor evaluation. Dr. Kamimura’s work contributes significantly to neuroimaging, oncology diagnostics, and imaging biomarkers. His expertise extends to pancreatic ductal adenocarcinoma imaging and intravoxel incoherent motion studies in the pituitary gland, advancing precision diagnostics and treatment planning. 🌟🩺📈

 

Publication Top Notes 📚

 

  • Time‐dependent MR diffusion analysis of functioning and nonfunctioning pituitary adenomas/pituitary neuroendocrine tumors (2025) – DOI: 10.1111/jon.13254 🧠📅
  • Differentiating primary CNS lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient (2023) – DOI: 10.1186/s40644-023-00639-7 🧠📈
  • Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI (2023) – DOI: 10.1186/s40644-023-00595-2 🧠🔍
  • Differentiation of hemangioblastoma from brain metastasis using MR amide proton transfer imaging (2022) – DOI: 10.1111/jon.13019 🩻🔬
  • Consistency of Pituitary Adenoma: Prediction by Pharmacokinetic Dynamic Contrast-Enhanced MRI (2021) – DOI: 10.3390/cancers13153914 🧠⚡
  • Visual enhancement pattern during the delayed phase of enhanced CT as a prognostic factor in stage IV pancreatic ductal adenocarcinoma (2020) – DOI: 10.1016/j.pan.2020.07.009 🩺✨
  • Large Intraosseous Schwannoma in Petrous Apex Presenting with Intratumoral Hemorrhage (2019) – DOI: 10.1016/j.wneu.2019.07.179 🦴🩹
  • Amide proton transfer imaging of tumors: theory, clinical applications, pitfalls, and future directions (2019) – DOI: 10.1007/s11604-018-0787-3 🔍💡
  • Intravoxel Incoherent Motion in Normal Pituitary Gland: Initial Study with Turbo Spin-Echo Diffusion-Weighted Imaging (2016) – DOI: 10.3174/ajnr.A4930 🧠🌀
  • Contrast-enhanced CT and diffusion-weighted MR imaging as prognostic factors in pancreatic ductal adenocarcinoma (2014) – DOI: 10.1016/j.ejrad.2013.12.016 🩻📊

 

MELINA MORAES | Neuroscience | Best Researcher Award

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Mrs. MELINA MORAES | Neuroscience | Best Researcher Award

Mrs. MELINA MORAES, Paulist School of Medicine, Brazil

Mrs. Melina Moraes is a distinguished professional affiliated with the Paulist School of Medicine in Brazil. With a robust background in medical sciences, she has contributed significantly to the academic and clinical community. Her expertise spans various aspects of medicine, and she is recognized for her dedication to advancing medical education and research. As a respected member of the Paulist School of Medicine, Mrs. Moraes plays a crucial role in shaping the future of healthcare in Brazil.

Publication Profile

Google Scholar

Summary:

I am an experienced Lecturer at the School of Mechanical and Chemical Engineering, Wollo University, with a robust background in chemical engineering and a focus on biodiesel production and alternative fuels. I have a strong academic and industrial background, with practical experience as a Production Chemist and an academic role that includes teaching, research, and student advisement. I hold an MSc in Chemical Engineering with a specialization in Process Engineering from Bahir Dar University.

Education

MSc in Chemical Engineering (Process Engineering),Bahir Dar University, Institute of Technology, Bahir Dar, Ethiopia,October 27, 2018 – November 11, 2020,Thesis: “Synthesis and Characterization of Biodiesel From Desert Date (Balanites Aegyptiaca) Seed Kernel Oil Via NaOH catalyzed trans-esterification reaction system.”,BSc in Chemical Engineering,Wollo University, Kombolcha Institute of Technology, Wollo, Ethiopia,November 22, 2011 – June 30, 2016,Project: “Production of bio-ethanol from corn cob.”,Higher Diploma in Higher Education Teaching,Wollo University, Kombolcha Institute of Technology,October 2, 2017 – July 3, 2018

 

Research Focus:

  • Biodiesel production and characterization
  • Alternative fuels and renewable energy sources
  • Catalysis and chemical reaction optimization
  • Waste valorization and environmental sustainability

Experience:

Lecturer,School of Mechanical and Chemical Engineering, Wollo University, Kombolcha Institute of Technology, Wollo, Ethiopia,November 12, 2020 – Present,Responsibilities: Conducting and reviewing research, lecturing, managing laboratory sessions, advising students, and preparing educational materials.,Assistant Lecturer,School of Mechanical and Chemical Engineering, Wollo University, Kombolcha Institute of Technology, Wollo, Ethiopia,September 13, 2017 – October 26, 2018,Responsibilities: Conducting tutorials, managing laboratory sessions, advising students, and preparing educational materials.,Production Chemist,Kombolcha Tannery PLC, Wollo, Ethiopia,December 6, 2016 – September 12, 2017,Responsibilities: Controlling the leather production process, ensuring quality through correct chemical formulations, managing waste discharge systems, and coordinating beam-house operations.

Awards and Certifications:

Invited Reviewer for journals indexed in the Web of Science.,Assessment program on Alternate Fuels Research (December 30, 2020).,Quality Control and Industrial Safety Training (Summer 2018).,International Virtual Conference on Advances in Colloidal & Polymeric Systems (August 22, 2020).,International Webinar on Entrepreneurship (February 11, 2021).,Financial Analysis Fundamentals Certification (July 5, 2022).

Publication Top Notes

  • Phytochemical property and antimicrobial activity of Ficifolius A. Rich root extract. Heliyon 2024, VOLUME 10, ISSUE 11, E31921. IF 2022: 4 Heliyon.
  • Alternative Methods for Biodiesel Cetane Number Valuation: A Technical Note. ACS Omega 2024, 9, 6, 6296–6304. IF 2022: 4.1 ACS Omega.
  • OH-Impregnated Household Bleach-Making Sediments for the Catalysis of Waste Cooking Oil Transesterification: Parameter Optimization. ACS Omega 2024, 9, 4, 4613–4626. IF 2022: 4.1 ACS Omega.
  • Valorization of calcium hypochlorite precipitate as a new source of heterogeneous catalyst development for biodiesel production: A preliminary experiment. Heliyon 2023, 9, 11, E21959. IF 2022: 4 Heliyon.
  • Fourier transform infrared spectroscopy as a tool for identifying the unique characteristic bands of lipid in oilseed components: Confirmed via Ethiopian indigenous desert date fruit. Heliyon 2023, 9, 4, e14699. IF 2022: 4 Heliyon.
  • Formulation of Neem Leaf and Croton Seed Essential Oils as a Natural Insecticide Tested on Mosquitoes and Cockroaches. ACS Omega 2023, 8, 17, 15052–15061. IF 2022: 4.1 ACS Omega.
  • NaOH-Catalised Methanolysis Optimization of Biodiesel production from Desert Date Seed Kernel Oil. ACS Omega 2021, 6, 37, 24082–24091. IF 2022: 4.1 ACS Omega.

Linjing Mu | Brain PET Imaging Award | Best Researcher Award

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Dr. Linjing Mu | Brain PET Imaging Award | Best Researcher Award

Dr. Linjing Mu, ETH Zurich, Switzerland

🔬 Dr. Linjing Mu pursued doctoral research at Nankai University, followed by a post-doctoral fellowship at Basel University, Switzerland. With expertise in radiopharmaceutical sciences, Dr. Mu led research teams at University Hospital Zurich and ETH Zurich, focusing on lead structure discovery, ligand synthesis, and radiolabeling method development. A prolific author, Dr. Mu has 106 peer-reviewed publications, including 10 as last and corresponding author, and 19 as the first author. Co-investigator on 10 patents, Dr. Mu has presented internationally and collaborated with industry leaders like Bayer Schering, Novartis, and Roche, contributing significantly to drug discovery and clinical translations.

 

Publication Profile:

Scopus

Orcid

Education:

Doctoral Research in Chemistry Department, Nankai University (1993-1996)

Post-Doctoral Fellow, Basel University, Switzerland (1996-2001)

Experience:

Team Leader in the field of Radiopharmaceutical Sciences, Group of Prof. Schubiger (2001-2010)

Head of Research, Radiopharmacy, University Hospital Zurich (2010-2021)

Senior Scientist, Prof. Schibli’s Group, ETH Zurich (2021-Present)

Research Expertise:

Lead Structure Finding based on Literature and Patents

Design and Synthesis of Novel Ligands

Structure-Activity Relationship Studies

Radiolabeling Method Development

In Vitro and In Vivo Evaluation

Academic Achievements:

Co-authored 106 Peer-Reviewed Publications

Last and Corresponding Author on 10, First Author on 19 (H-Factor 29, Scopus)

Co-Investigator on 10 Patent Applications

Contributed to International Conferences as Invited Speaker, Oral and Poster Presenter

Research Focus:

🔬 Dr. Linjing Mu’s research focus lies at the intersection of neuroimaging and drug development, particularly in the field of molecular imaging for neurodegenerative diseases like Alzheimer’s. Their work encompasses the development and optimization of radioligands targeting specific molecular pathways implicated in neurodegeneration. Through PET/MRI studies and the exploration of novel PET tracers, such as (R)-[18F]YH134 and (R)-[18F]PSS232, Dr. Mu aims to deepen our understanding of disease mechanisms and identify potential therapeutic targets. This research not only sheds light on disease pathology but also paves the way for the development of new diagnostic tools and pharmacological interventions.

 

Publication Top Notes:

📄 Wang, J. et al. Metabotropic glutamate receptor 5 (mGluR5) is associated with neurodegeneration and amyloid deposition in Alzheimer’s disease: A [18F]PSS232 PET/MRI study. Published in Alzheimer’s Research and Therapy, 2024. Cited by: 0.

📄 He, Y. et al. Identification of (R)-[18F]YH134 for Monoacylglycerol Lipase Neuroimaging and Exploration of Its Use for Central Nervous System and Peripheral Drug Development. Published in Journal of Nuclear Medicine, 2024. Cited by: 0.

📄 Boccalini, C. et al. The impact of tau deposition and hypometabolism on cognitive impairment and longitudinal cognitive decline. Published in Alzheimer’s and Dementia, 2024. Cited by: 1.

📄 Trachsel, B. et al. Reducing kidney uptake of radiolabelled exendin-4 using variants of the renally cleavable linker MVK. Published in EJNMMI Radiopharmacy and Chemistry, 2023. Cited by: 0.

📄 Lu, Y. et al. Proof-of-concept optimization of a copper-mediated 18F-radiosynthesis of a novel MAGL PET tracer on a high-throughput microdroplet platform and its macroscale translation. Published in Lab on a Chip, 2023. Cited by: 1.

📄 Ni, R. et al. Imaging increased metabolism in the spinal cord in mice after middle cerebral artery occlusion. Published in Photoacoustics, 2023. Cited by: 0.

📄 Zechner, M. et al. In Vitro and In Vivo Evaluation of ABCG2 (BCRP) Inhibitors Derived from Ko143. Published in Journal of Medicinal Chemistry, 2023. Cited by: 1.

📄 Bengs, S. et al. Rest/stress myocardial perfusion imaging by positron emission tomography with 18F-Flurpiridaz: A feasibility study in mice. Published in Journal of Nuclear Cardiology, 2023. Cited by: 3.

📄 Peretti, D.E. et al. ATN profile classification across two independent prospective cohorts. Published in Frontiers in Medicine, 2023. Cited by: 0.

📄 He, Y. et al. Multi-parameter optimization: Development of a morpholin-3-one derivative with an improved kinetic profile for imaging monoacylglycerol lipase in the brain. Published in European Journal of Medicinal Chemistry, 2022. Cited by: 2.