About

Hi! I am a Senior ML Scientist at Centile Bio. I have a PhD (cum laude) in AI in Medical Imaging from Maastricht University, GROW - Research Institute for Oncology and Reproduction.

Previously, I was a Post Doctoral Researcher at AIM lab - Harvard MGB and KannLab and Editorial Board Trainee at Radiology: AI, Tech Consultant in AI&DL at Amazon Web Services (AWS) and an AI fellow at C10 Lab in Boston, MA. I did my master's in Biomedical Computing at TU Munich. I spent a year as a Visiting Scholar at Johns Hopkins University in ARCADE lab; worked as a Research Assistant at MITI in Klinikum rechts der Isar; worked at ScintHealth (IFL Lab), and took part in the MedInnovate Graduate Program where VizCare was born. I did my Bachelor's degree in Computer Engineering at NTUU "KPI".

My special interest is medical imaging applications and a variety of computational methodologies around it, such as computer vision, machine learning, image processing, and growth modeling.

Skills

Python
R
Deep learning
Computer Vision
Medical Imaging
Statistics
AWS
MLOps
Slicer 3D
Organisation
Systems Thinking
Leadership
Collaboration

Selected Publications

You can find the full list on Google Scholar.

Artificial intelligence analysis of temporalis muscle thickness for monitoring sarcopenia and clinical outcomes in individuals with paediatric brain tumours: a retrospective cohort study

Anna Zapaishchykova, John Zielke, Divyanshu Tak, Juan Carlos Climent Pardo, Reza Mojahed-Yazdi, Carmen L Soto-Rivera, Kevin X Liu, Anurag Saraf, Zezhong Ye, Wei Wang, Yu-Hui Chen, Sridhar Vajapeyam, Raymond H Mak, Sabine Mueller, Ali Nabavizadeh, Rebekah L Wilson, Christina M Dieli-Conwright, Keith L Ligon, Daphne A Haas-Kogan, Hugo J W L Aerts, Tina Y Poussaint, Viviana Benitez, Susan N Chi, Benjamin H Kann, MD

[ The Lancet Digital Health ]

Automated temporalis muscle quantification and growth charts for children through adulthood

Anna Zapaishchykova, Kevin X. Liu, Anurag Saraf, Zezhong Ye, Paul J. Catalano, Viviana Benitez, Yashwanth Ravipati, Arnav Jain, Julia Huang, Hasaan Hayat, Jirapat Likitlersuang, Sridhar Vajapeyam, Rishi B. Chopra, Ariana M. Familiar, Ali Nabavizadeh, Raymond H. Mak, Adam C. Resnick, Sabine Mueller, Tabitha M. Cooney, Daphne A. Haas-Kogan, Tina Y. Poussaint, Hugo J.W.L. Aerts & Benjamin H. Kann

[ Nature Communications ] [ iTMT calculator ] [ Github ]

An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma

Anna Zapaishchykova, David Dreizin, Zhaoshuo Li, Jie Ying Wu, Shahrooz Faghih Roohi, Mathias Unberath

[ MICCAI2021 ] [ Youtube video ]

Diffusion Deep Learning for Brain Age Prediction and Longitudinal Tracking in Children Through Adulthood

Anna Zapaishchykova, Divyanshu Tak, Zezhong Ye, Kevin X Liu, Jirapat Likitlersuang, Sridhar Vajapeyam, Rishi B Chopra, Jakob Seidlitz, Richard AI Bethlehem, Lifespan Brain Chart Consortium, Raymond H Mak, Sabine Mueller, Daphne A Haas-Kogan, Tina Y Poussaint, Hugo JWL Aerts, Benjamin H Kann

[ Imaging Neuroscience ] [ What is this? ] [ Github ]

Boards, Advisory Committees, Professional Activity

• 2x RSNA '25 speaker

• Radiology: Artificial Intelligence Trainee Editorial Board graduate '26

• MICCAI Student Board (MSB) 2023-2024 Executive Officer, 2024-2025 Advisory

• IPSNO (International Symposium on Paediatric Neuro-Oncology) 2024 presenter

• SNO (Society for Neuro-Oncology Annual Meeting) 2023 presenter

• Reviewer for: Radiology: Artificial Intelligence, MLHC'25, IEEE TMI, ML4H'23 & '24, Imaging Neuroscience, European Radiology, Biomarker Research, MICCAI'24, MICCAI Workshop on Deep Generative Models 2024, Journal of Open Source Software, BMC Medical Informatics and Decision Making

Honors & Awards

• Radiology: Artificial Intelligence (RSNA) Editor's Recognition Award 2025 with special distinction

• Radiology: Artificial Intelligence (RSNA) Editor's Recognition Award 2024 with distinction

• Reviewer of the Year 2024 - European Radiology

• MICCAI 2023 Educational Challenge 3rd place winner: Preprocessing MRI in Python (Medium post)

• Brigham Research Institute Spotlight Award 2023 - Group Recognition

• PROMOS Scholarship award 2020

• Kaggle COVID-19 Dataset Award

Extras

• Teaching AI, algorithms and data class at Ukrainian school "Maibutni"

• C10 Lab Central AI Fellow Summer '25 & Winter '26: Mentorship and consulting startups in bio and healthtech on AI, cloud and AI strategy.

• Teach for Ukraine: Math Mentor & Volunteer 2024-2026 for students grades K5-12. A project to overcome educational gaps and provide social-emotional support to children.

• Women in Tech Ukraine "ШІ у медицині: перспективи та останні розробки"

• RSIPVision - Computer Vision News October 2024 an interview about Diffusion Models synthetic brain ageing

• Science in the News 2024 invited talk "Tiny Patients, Big Solutions: How AI Helps Children with Brain Tumors"

• AppCamps.de ClassChats Volunteer 2022: tech career talks for kids 5-9th grade

• SegmentationReview, a tool for clinicians who need to quickly and efficiently review deep-learning generated segmentations; available in 3D Slicer extensions manager