Magdalini Paschali

Anna Needs Neuroblastoma Answers — United States

Medicine · Health Sciences

13h-index546citations61works5.32yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(13), COVID-19 diagnosis using AI(12), Medical Imaging Techniques and Applications(8), Medical Image Segmentation Techniques(7), AI in cancer detection(7)

Publications61 total

Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
2025Open Access
Automated real-time assessment of intracranial hemorrhage detection AI using an ensembled monitoring model (EMM)
npj Digital Medicine·2025Open Access
Expert-level validation of AI-generated medical text with scalable language models
2025Open Access
MedVAL: Toward Expert-Level Medical Text Validation with Language Models
arXiv (Cornell University)·2025Open Access
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)
2025Open Access
Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)
arXiv (Cornell University)·2025Open Access
Assessing Completeness of Clinical Histories Accompanying Imaging Orders Using Adapted Open-Source and Closed-Source Large Language Models
Radiology·2025· 10 citedOpen Access
Foundation Models in Radiology: What, How, Why, and Why Not
Radiology·2025· 51 citedOpen Access
Navigating the unknown: out-of-distribution detection for medical imaging
Elsevier eBooks·2025· 2 cited
List of contributors
Elsevier eBooks·2025Open Access
SOE: SO(3)-Equivariant 3D MRI Encoding
Lecture notes in computer science·2024
Foundation Models in Radiology: What, How, When, Why and Why Not
arXiv (Cornell University)·2024Open Access
Multi‐domain predictors of grip strength differentiate individuals with and without alcohol use disorder
Addiction Biology·2024Open Access
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging
Lecture notes in computer science·2024· 1 citedOpen Access
SOE: SO(3)-Equivariant 3D MRI Encoding
arXiv (Cornell University)·2024Open Access
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging
arXiv (Cornell University)·2024Open Access
Identifying high school risk factors that forecast heavy drinking onset in understudied young adults
Developmental Cognitive Neuroscience·2024· 4 citedOpen Access
Merlin: A Vision Language Foundation Model for 3D Computed Tomography
arXiv (Cornell University)·2024· 9 citedOpen Access
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
arXiv (Cornell University)·2024· 23 citedOpen Access
Multimodal graph attention network for COVID-19 outcome prediction
Scientific Reports·2023· 25 citedOpen Access
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Frequent Co-authors

Nassir Navab(29), Walter Simson(12), Thomas Wendler(8), Akshay Chaudhari(7), Tobias Czempiel(7), Egon Burian(6), Rickmer Braren(6), Seong Tae Kim(6), Kilian M. Pohl(6), Sailesh Conjeti(5), Maya Varma(5), Curtis P. Langlotz(5), Sergios Gatidis(5), Matthias Keicher(5), Marcus R. Makowski(5), Qingyu Zhao(5), Louis Blankemeier(4), Andrew Johnston(4), Ehsan Adeli(4), Alaa Youssef(3)