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Journal of Digital Imaging|August 8, 2022
Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine LearningJulia Cluceru, Janine M Lupo, Yannet Interian, et al.
Translational Vision Science & Technology|August 5, 2024
Topographic Clinical Insights From Deep Learning-Based Geographic Atrophy Progression PredictionJulia Cluceru, Neha Anegondi, Simon S Gao, et al.
Ophthalmology Science|January 6, 2025
Deep Learning to Predict the Future Growth of Geographic Atrophy from Fundus AutofluorescenceAnish Salvi, Julia Cluceru, Simon S Gao, et al.
Bioengineering (Basel, Switzerland)|May 25, 2024
Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment SettingJacob Ellison, Francesco Caliva, Pablo Damasceno, et al.
Ophthalmology. Retina|August 29, 2022
Deep Learning to Predict Geographic Atrophy Area and Growth Rate from Multimodal ImagingNeha Anegondi, Simon S Gao, Verena Steffen, et al.
Neuro-Oncology|October 15, 2021
Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imagingJulia Cluceru, Yannet Interian, Joanna J Phillips, et al.
Neuro-Oncology|April 23, 2020
Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomasJulia Cluceru, Sarah J Nelson, Qiuting Wen, et al.
NPJ Digital Medicine|June 25, 2026
Spatially identifying regions of tumor recurrence in patients with suspected recurrent glioma using physiologic MRI and machine learningJacob Ellison, Nate Tran, Tracy L Luks, et al.
ATS Scholar|April 9, 2026
Improving Inter-Rater Reliability in Radiographic Edema Scoring in Acute Respiratory Failure Through Structured Training and Expert FeedbackHafiz Qurashi, Pranav Jain, Robin Joyce, et al.
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