Dr. Vinniotsa Buzoianu Anguiano | Medical Image Analysis | Women Researcher Award

Dr. Vinniotsa Buzoianu Anguiano | Medical Image Analysis | Women Researcher Award

Doctorate at Hospital Nacional de Parapléjicos, Spain

Profiles

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Summary

Dr. Vinnitsa Buzoianu Anguiano is an accomplished postdoctoral researcher at the Hospital Nacional de Parapléjicos in Spain, specializing in neural regeneration and spinal cord injury. Her work integrates natural and health sciences to advance treatments for neural damage.

Education

  • PhD in Animal Production and Health Sciences – Universidad Nacional Autónoma de México, 2019
  • Master’s in Sciences – Universidad Nacional Autónoma de México, 2013
  • Bachelor’s in Biology – Universidad Simón Bolívar, 2007

💼 Professional Experience

Dr. Buzoianu has held several research positions across Mexico and Spain, including junior researcher roles in projects like “Camina” and Universidad Anahuac. Since 2021, she has been contributing to neural regeneration research at the LRNI/Grupo Regeneración Neural.

🔬 Research Interests

Her research focuses on neural regeneration, spinal cord injuries, and innovative therapeutic strategies involving stem cells and biomaterials. She has contributed significantly to peer-reviewed publications and collaborative projects in these areas.

 

Publications

Improved Efficacy of Delayed Treatment with Human Bone Marrow-Derived Stromal Cells Evaluated in Rats with Spinal Cord Injury

  • Authors: Aguado-Garrido, M., García-Rama, C., Romero-Ramírez, L., Kramer, B.W., Mey, J.
  • Journal: International Journal of Molecular Sciences
  • Year: 2024

Use of Cells, Supplements, and Peptides as Therapeutic Strategies for Modulating Inflammation after Spinal Cord Injury: An Update

  • Authors: Garcia, E., Buzoianu-Anguiano, V., Silva-Garcia, R., Doncel-Pérez, E., Ibarra, A.
  • Journal: International Journal of Molecular Sciences
  • Year: 2023

Role of aldynoglia cells in neuroinflammatory and neuroimmune responses after spinal cord injury

  • Authors: Buzoianu-Anguiano, V., Torres-Llacsa, M., Doncel-Pérez, E.
  • Journal: Cells
  • Year: 2021

Recovery of motor function after traumatic spinal cord injury by using plasma-synthesized polypyrrole/iodine application in combination with a mixed rehabilitation scheme

  • Authors: Sánchez-Torres, S., Díaz-Ruíz, A., Ríos, C., Damián-Matsumura, P., Salgado-Ceballos, H.
  • Journal: Journal of Materials Science: Materials in Medicine
  • Year: 2020

Use of a Combination Strategy to Improve Morphological and Functional Recovery in Rats With Chronic Spinal Cord Injury

  • Authors: Rodríguez-Barrera, R., Flores-Romero, A., Buzoianu-Anguiano, V., Juárez-Vignon Whaley, J.J., Ibarra, A.
  • Journal: Frontiers in Neurology
  • Year: 2020

Dr. Seyed Hani Hojjati | Medical Image Analysis | Best Researcher Award

Dr. Seyed Hani Hojjati | Medical Image Analysis | Best Researcher Award

Doctorate at Weill Cornell Medicine, United States

Profiles

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📋 Summary

Dr. Seyed Hani Hojjati is an accomplished Instructor of Electrical Engineering in the Department of Radiology at Weill Cornell Medicine. With a robust background in mathematics, machine learning, signal processing, and image processing, Dr. Hojjati has significantly contributed to the field of neuroimaging, particularly in Alzheimer’s disease research. His innovative work integrates resting-state functional magnetic resonance imaging (rs-fMRI) to distinguish between healthy individuals and those progressing towards mild cognitive impairment (MCI) and Alzheimer’s Disease (AD). His research has also expanded to include advanced modalities like diffusion tensor imaging (DTI) and positron emission tomography (PET), with the goal of identifying reliable biomarkers for early neuropsychological changes.

Education

  • Ph.D. in Electrical Engineering (2018)
    Babol Noshirvani University of Technology, Babol, Mazandaran, Iran
    Dissertation: Identification of Effective Brain Areas to Predict Alzheimer’s Disease Using Resting-State fMRI and MRI
  • M.Sc. in Electrical Engineering (2013)
    Babol Noshirvani University of Technology, Babol, Mazandaran, Iran
    Dissertation: Energy Efficient Cooperative Spectrum Sensing by Multi-Antenna Sensor Network and Soft Computing Techniques
  • B.Sc. in Electrical Engineering (2011)
    University of Mazandaran, Babolsar, Mazandaran, Iran
    Dissertation: Harmonic Analysis on Relays

💼 Professional Experience

Currently, Dr. Hojjati is an Instructor of Electrical Engineering at Weill Cornell Medicine (WCM) in the Department of Radiology, Brain Health Imaging Institute. His work focuses on the underlying mechanisms of remote associations between amyloid-beta and tau depositions at preclinical stages of Alzheimer’s disease. He has contributed significantly to the harmonization and processing of multimodal imaging data and has played a pivotal role in various NIH-funded research projects. Prior to his current role, he served as a Postdoctoral Associate at WCM, where he designed neuropsychological tasks for fMRI scanners and developed novel preprocessing tools for PET data. Dr. Hojjati also held a Postdoctoral Fellow position at the University of Tennessee Health Science Center, where he focused on multimodal neuroimaging approaches to identify early neuropsychological changes in Alzheimer’s disease.

🏆 Honors and Awards

  • Travel Scholarship, Human Amyloid Imaging (2023)
  • Winter Travel Stipend Award, University of Tennessee Health Science Center (2019)
  • Outstanding Abstract Award, University of Tennessee Health Science Center (2019)
  • Travel Stipend Award, Organization for Human Brain Mapping (2016)
  • Top Student Award, National Elites Foundation (2016)
  • Study Scholarship, Babol Noshirvani University of Technology (2014)

🔬 Research and Skills 

Dr. Hojjati’s research expertise spans multiple neuroimaging modalities, including rs-fMRI, task-fMRI, MRI, PET, and DTI. He is proficient in machine learning, signal processing, and image processing, with a focus on developing innovative techniques for feature integration and selection in multimodal neuroimaging data. His technical skills include programming in Python, MATLAB, and C++, as well as using neuroimaging tools like FreeSurfer, FSL, and SPM. He is also experienced in statistical analysis and neuropsychological test design.

Publications

Reduction in Constitutively Activated Auditory Brainstem Microglia in Aging and Alzheimer’s Disease

  • Authors: Butler, T., Wang, X., Chiang, G., Pascoal, T.A., Rosa-Neto, P.
  • Journal: Journal of Alzheimer’s Disease
  • Year: 2024

Remote Associations Between Tau and Cortical Amyloid-β Are Stage-Dependent

  • Authors: Hojjati, S.H., Chiang, G.C., Butler, T.A., Devanand, D.P., Razlighi, Q.R.
  • Journal: Journal of Alzheimer’s Disease
  • Year: 2024
Seeing Beyond the Symptoms: Biomarkers and Brain Regions Linked to Cognitive Decline in Alzheimer’s Disease
  • Authors: Hojjati, S.H., Babajani-Feremi, A.
  • Journal: Frontiers in Aging Neuroscience
  • Year: 2024

Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks

  • Authors: Hojjati, S.H., Babajani-Feremi, A.
  • Journal: Frontiers in Computational Neuroscience
  • Year: 2022

Topographical Overlapping of the Amyloid-β and Tau Pathologies in the Default Mode Network Predicts Alzheimer’s Disease with Higher Specificity

  • Authors: Hojjati, S.H., Feiz, F., Ozoria, S., Razlighi, Q.R.
  • Journal: Journal of Alzheimer’s Disease
  • Year: 2021

Mr. Spencer Upton | Medical Image Analysis | Best Researcher Award

Mr. Spencer Upton | Medical Image Analysis | Best Researcher Award

Spencer Upton at University of Missuour, United States

Profiles

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 Academic Background:

Mr. Spencer Upton is a dedicated PhD student in Cognition and Neuroscience at the University of Missouri-Columbia (MU), with extensive academic and professional experience in the fields of psychology and neuroscience. His career spans a range of roles from research assistantships to project coordination, and he has actively engaged in teaching and mentoring throughout his academic journey. Spencer's commitment to the field is evident in his contributions to various scientific communities and his recognition through multiple scholarships and awards.

Education:

Mr. Spencer began his academic career at Butler County Community College (BC3) in 2014 before earning a BS in Psychology with a focus on neuroscience and philosophy from Slippery Rock University (SRU) in 2019. He then pursued an MS in Integrative Neuroscience at Georgetown University (GU) from 2019 to 2020. Spencer is currently working towards a PhD in Cognition and Neuroscience at MU, where he also completed his MA. His doctoral research is supervised by Dr. Brett Froeliger.

Professional Experience:

Mr. Spencer’s professional journey includes roles such as a Research Specialist (Project Coordinator) at the Health Neuroscience Center, MU, where he managed research projects from 2020 to 2022. He has also worked in various capacities outside the academic realm, including as a landscaper and a front desk attendant. His early professional experiences include positions as a dishwasher, cashier, and warehouse attendant, reflecting a diverse work background.

 Research Interests:

Mr. Spencer’s research interests focus on understanding the cognitive and neural mechanisms underlying addiction and motivation. His work includes exploring the effects of nicotine and other substances on cognitive processes and neural functioning. This interest is reflected in his involvement with organizations such as the Society for Neuroscience (SFN) and the Society for Research on Nicotine and Tobacco (SRNT), as well as his contributions as an assistant reviewer for journals like Addictive Behaviors and Neuropsychopharmacology.

💰 Honors and Scholarships:

He has received various honors and scholarships, such as the Biomedical Graduate Education Scholarship from GU (2019), and multiple scholarships from SRU, including the Rose and Dale Kaufman Scholarship (2018) and the Meiping Cheng Memorial Scholarship (2017). Notably, he received the Undergraduate Mentoring Award from MU in 2023.

👨‍🏫 Teaching Experience:

Mr. Spencer has been involved in teaching as an assistant for courses such as Psych3351: Positive Motivation and Psych 3160: Perception and Thought in Fall 2022. He also contributed as a lecturer for an MRI Workshop Series at the Cognitive Neuroscience Systems Core Facility.

 Publications:

Mesocorticolimbic system reactivity to alcohol use-related visual cues as a function of alcohol sensitivity phenotype: A pilot fMRI study
  • Authors: Roberto U Cofresí, Spencer Upton, Alexander A Brown, Thomas M Piasecki, Bruce D Bartholow, Brett Froeliger
  • Journal: Addiction Neuroscience
  • Year: 2024
Spencer Upton, Alexander A. Brown, Mojgan Golzy, Eric L. Garland and Brett Froeliger
  • Authors: S Upton
  • Journal: Addiction and the Brain: Current Knowledge, Methods, and Perspectives
  • Year: 2024
Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step
  • Authors: Andrew Smith, Musa Azeem, Chrisogonas O Odhiambo, Pamela J Wright, Hanim E Diktas, Spencer Upton, Corby K Martin, Brett Froeliger, Cynthia F Corbett, Homayoun Valafar
  • Journal: Sensors
  • Year: 2024
Associations between right inferior frontal gyrus morphometry and inhibitory control in individuals with nicotine dependence
  • Authors: Alexander A Brown, Spencer Upton, Stephen Craig, Brett Froeliger
  • Journal: Drug and alcohol dependence
  • Year: 2023
Effects of hyperdirect pathway theta burst transcranial magnetic stimulation on inhibitory control, craving, and smoking in adults with nicotine dependence: A double-blind …
  • Authors: Spencer Upton, Alexander A Brown, Muaid Ithman, Roger Newman-Norlund, Greg Sahlem, Jim J Prisciandaro, Erin A McClure, Brett Froeliger
  • Journal: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
  • Year: 2023