Jen-Tang Lu

According to our database, Jen-Tang Lu authored at least 4 papers between 2018 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

DeepAAA: Clinically Applicable and Generalizable Detection of Abdominal Aortic Aneurysm Using Deep Learning.

Jen-Tang Lu, Rupert Brooks, Stefan Hahn, Jin Chen, Varun Buch, Gopal Kotecha, Katherine P. Andriole, Brian B. Ghoshhajra, Joel Pinto, Paul Vozila, Mark Michalski, Neil A. Tenenholtz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery.

Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu, Yueh-Hung Cheng, Furen Xiao, Feng-Ming Hsu, Jen-Tang Lu

Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

2018

DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning.

Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole, Mark H. Michalski, R. Gilberto González, Stuart R. Pomerantz

CoRR, 2018

Deep Spine: Automated Lumbar Vertebral Segmentation, Disc-Level Designation, and Spinal Stenosis Grading using Deep Learning.

Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole, Mark H. Michalski, R. Gilberto González, Stuart R. Pomerantz

Proceedings of the Machine Learning for Healthcare Conference, 2018