Benjamin Q. Huynh

发表

Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI

Maryellen L. Giger, Natasha Antropova, Benjamin Q. Huynh, 2017, Medical Imaging.

Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning

Maryellen L. Giger, Natasha Antropova, Benjamin Q. Huynh, 2017, Medical Imaging.

Deep learning and three-compartment breast imaging in breast cancer diagnosis

Maryellen L. Giger, Karen Drukker, John Shepherd, 2017, Medical Imaging.

Recurrent neural networks for breast lesion classification based on DCE-MRIs

Maryellen L. Giger, Natasha Antropova, Benjamin Q. Huynh, 2018, Medical Imaging.

Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks.

Hui Li, Natalia Antropova, Maryellen L Giger, 2018, Journal of medical imaging.

Digital mammographic tumor classification using transfer learning from deep convolutional neural networks

Hui Li, Benjamin Q Huynh, Maryellen L Giger, 2016, Journal of medical imaging.

Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms

Hui Li, Benjamin Q Huynh, Maryellen L Giger, 2017, Journal of medical imaging.

SU-D-207B-06: Predicting Breast Cancer Malignancy On DCE-MRI Data Using Pre-Trained Convolutional Neural Networks.

Benjamin Q. Huynh, M. Giger, Natalia Antropova, 2016, Medical physics.

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

Natalia Antropova, Benjamin Q Huynh, Maryellen L Giger, 2017, Medical physics.