most citedThree-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture

325 citations · 504 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2018★ 27 cited

Acceleration and Quantitation of Localized Correlated Spectroscopy using Deep Learning: A Pilot Simulation Study

Zohaib Iqbal, Dan Nguyen, M. Albert Thomas +1

Nuclear magnetic resonance spectroscopy (MRS) allows for the determination of atomic structures and concentrations of different chemicals in a biochemical sample of interest. MRS i…

physics.med-ph2018★ 325 cited

Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture

Dan Nguyen, Xun Jia, David Sher +4

The treatment planning process for patients with head and neck (H&N) cancer is regarded as one of the most complicated due to large target volume, multiple prescription dose levels…

physics.med-ph2018★ 76 cited

Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging utilizing Deep Learning

Zohaib Iqbal, Dan Nguyen, Gilbert Hangel +3

Magnetic resonance spectroscopic imaging (SI) is a unique imaging technique that provides biochemical information from in vivo tissues. The 1H spectra acquired from several spatial…

physics.med-ph2017★ 64 cited

Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning

Zohaib Iqbal, Da Luo, Peter Henry +10

Deep learning has started to revolutionize several different industries, and the applications of these methods in medicine are now becoming more commonplace. This study focuses on…

physics.med-ph2017★ 12 cited

A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning

Dan Nguyen, Troy Long, Xun Jia +4

With the advancement of treatment modalities in radiation therapy for cancer patients, outcomes have improved, but at the cost of increased treatment plan complexity and planning t…