About
Hi! I am a PhD candidate at AIM lab - Harvard MGB and Editorial Board Trainee at Radiology: AI.
Previously, I was a Tech Consultant in AI&DL at Amazon Web Services (AWS)
Prior to joining AIM, I did my master's in Biomedical Computing at TU Munich. During my studies, 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 de Isar; worked at ScintHealth (IFL Lab), and took part in MedInnovate Graduate Programm where VizCare was born. I did my Bachelor's degree in Computer Engineering at NTUU "KPI".
My primary research interests lie in computer-aided medical procedures and the application of deep learning in medicine. More broadly, I am intrigued by computer vision, machine learning, and image processing. Alongside my research, I am a passionate advocate for equitable educational opportunities and inclusive science communication, aiming to empower and uplift underrepresented communities.
Selected Publications
You can find the full list on Google Scholar.
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 Nabavidazeh, 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
• Radiology: Artificial Intelligence Trainee Editorial Board member
• MICCAI Student Board (MSB) 2023-2024 Executive Officer
• Reviewer for: Radiology: Artificial Intelligence, 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