Neurology | Radiology Extended nnU-Net for brain metastasis detection and segmentation in contrast-enhanced MRI with a large multi-institutional dataset. July 26, 2024
Radiation Oncology | Radiology Volumetric MRI with sparse sampling for MR-guided 3D motion tracking via sparse prior-augmented implicit neural representation learning. November 28, 2023
Medical Imaging | Radiation Oncology Real Time Volumetric MRI for 3D Motion Tracking via Geometry-Informed Deep Learning. June 29, 2022
Neurology | Radiology Evaluating deep learning methods in detecting and segmenting different sizes of brain metastases on 3D post-contrast T1-weighted images. May 27, 2021
Radiation Oncology | Radiology Abdominal synthetic CT generation from MR Dixon images using a U-Net trained with "semi-synthetic" CT data. April 24, 2020
Radiation Oncology | Radiology Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images. October 23, 2019