Edward H. Lee

发表

Correction to: Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures

Safwan Halabi, Wei Zhang, Jiangdian Song, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU pdf

Mario Michael Krell, Errol Colak, Kristen W. Yeom, 2021, ArXiv.

Deep-Learning for Automated Classification of Inferior Vena Cava Filter Types on Radiographs.

Edward H. Lee, K. Shpanskaya, K. Yeom, 2020, Journal of vascular and interventional radiology : JVIR.

Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features

Edward H. Lee, S. Halabi, K. Yeom, 2021, European Journal of Radiology.

Reduced field of view echo-planar imaging diffusion tensor MRI for pediatric spinal tumors.

Edward H. Lee, K. Yeom, S. Skare, 2019, Journal of neurosurgery. Spine.

Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus.

Edward H. Lee, K. Yeom, L. Kim, 2020, Journal of neurosurgery. Pediatrics.

Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study.

Edward H. Lee, J. Seekins, K. Yeom, 2021, Neurosurgery.

Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures

Edward H. Lee, S. Halabi, K. Yeom, 2020, European Journal of Nuclear Medicine and Molecular Imaging.

Attention-guided deep learning for gestational age prediction using fetal brain MRI

Edward H. Lee, J. Pauly, K. Shpanskaya, 2022, Scientific Reports.

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT

Edward H. Lee, J. Seekins, K. Yeom, 2021, npj Digital Medicine.

AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT (preprint)

Edward H. Lee, M. Ghassemi, S. Halabi, 2023, 2303.13567.

Federated Learning on Heterogenous Data using Chest CT

Edward H. Lee, S. Halabi, E. Colak, 2023, ArXiv.

Simultaneous time of flight-MRA and T2* imaging for cerebrovascular MRI

Edward H. Lee, K. Yeom, M. Moseley, 2020, Neuroradiology.

iSPAN: Improved prediction of outcomes post thrombectomy with Machine Learning

Edward H. Lee, K. Yeom, J. Duignan, 2023, medRxiv.

NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU

Edward H. Lee, E. Colak, M. M. Krell, 2021, 2109.12191.