Matthew D. Lee

发表

Distinguishing Brain Metastasis Progression From Radiation Effects After Stereotactic Radiosurgery Using Longitudinal GRASP Dynamic Contrast-Enhanced MRI

D. Kondziolka, K. T. Block, G. Fatterpekar, 2022, Neurosurgery.

"The Pituitary within GRASP" - Golden-Angle Radial Sparse Parallel Dynamic MRI Technique and Applications to the Pituitary Gland.

G. Fatterpekar, M. Young, Matthew D. Lee, 2021, Seminars in ultrasound, CT, and MR.

A No-Math Primer on the Principles of Machine Learning for Radiologists.

S. Chopra, Y. Lui, M. Elsayed, 2022, Seminars in ultrasound, CT, and MR.

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Zev A. Binder, Peter I. Kamel, Susan M. Chang, 2023, Neuroradiology.

Deep multi-task learning and random forest for series classification by pulse sequence type and orientation

Y. Lui, N. Razavian, Noah Kasmanoff, 2022, Neuroradiology.

MRI-Based Deep Learning Method for Classification of IDH Mutation Status

A. Madhuranthakam, B. Wagner, K. Hatanpaa, 2023, Bioengineering.

Editorial for "MRI-Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy From Epilepsy With Generalized Tonic-Clonic Seizures Alone".

Matthew D. Lee, Rajan Jain, 2023, Journal of magnetic resonance imaging : JMRI.

Editorial for "Enhancing Nigrosome-1 Sign Identification via Interpretable AI Using True Susceptibility Weighted Imaging".

Matthew D. Lee, 2024, Journal of magnetic resonance imaging : JMRI.

Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma

A. Madhuranthakam, K. Hatanpaa, J. Holcomb, 2024, Radiology. Artificial intelligence.