activity
20162022
most citedModified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

451 citations · 610 across the 12 of their papers we have counts for

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Showing physics.med-phShow all

14 papers · 1 filter

physics.med-ph20222 cited

Patient-specific mean teacher UNet for enhancing PET image and low-dose PET reconstruction on RefleXion X1 biology-guided radiotherapy system

Jie Fu, Zhicheng Zhang, Linxi Shi +9

The RefleXion X1 is the first biology-guided radiotherapy (BgRT) system. Its dual 90-degree PET detector collects fewer pair production events compared to a full-ring diagnostic PE…

physics.med-ph2020

Dual-energy Computed Tomography Imaging from Contrast-enhanced Single-energy Computed Tomography

Wei Zhao, Tianling Lyu, Yang Chen +1

In a standard computed tomography (CT) image, pixels having the same Hounsfield Units (HU) can correspond to different materials and it is therefore challenging to differentiate an…

physics.med-ph2020

Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction

Qiong Xu, Jeff Wang, Hiroki Shirato +1

This paper presents a dictionary learning-based method with region-specific image patches to maximize the utility of the powerful sparse data processing technique for CT image reco…

physics.med-ph2020

Beam data modeling of linear accelerators (linacs) through machine learning and its potential applications in fast and robust linac commissioning and quality assurance

Wei Zhao, Ishan Patil, Bin Han +3

Background and purpose: To propose a novel machine learning-based method for reliable and accurate modeling of linac beam data applicable to the processes of linac commissioning an…

physics.med-ph2020

Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface

Charles Huang, Yong Yang, Neil Panjwani +2

Objective: Radiation therapy treatment planning is a time-consuming, iterative process with potentially high inter-planner variability. Fully automated treatment planning processes…

physics.med-ph2020

Data-driven dose calculation algorithm based on deep learning

Jiawei Fan, Lei Xing, Peng Dong +3

In this study we performed a feasibility investigation on implementing a fast and accurate dose calculation based on a deep learning technique. A two dimensional (2D) fluence map w…