Jie Fu

activity

20162023

most citedMale pelvic synthetic CT generation from T1-weighted MRI using 2D and 3D convolutional neural networks

101 citations · 404 across the 10 of their papers we have counts for

collaborators

11 papers

hep-ex2023

Improved calorimetric particle identification in NA62 using machine learning techniques

NA62 Collaboration

Measurement of the ultra-rare $K^{+} \to π^{+} ν ν ˉ$ decay at the NA62 experiment at CERN requires high-performance particle identification to distinguish muons from pions. Calorimetric…

hep-ex2022★ 15 cited

A measurement of the $K^{+} \to π^{+} μ^{+} μ^{-}$ decay

NA62 Collaboration

A sample of $2.8 \times 1 0^{4}$ $K^{+} \to π^{+} μ^{+} μ^{-}$ candidates with negligible background was collected by the NA62 experiment at the CERN SPS in 2017--2018. The model-inde…

hep-ex2022★ 3 cited

Performance of the NA62 trigger system

The NA62 Collaboration

The NA62 experiment at CERN targets the measurement of the ultra-rare $K^{+} \to π^{+} ν ν ˉ$ decay, and carries out a broad physics programme that includes probes for symmetry vio…

hep-ex2022★ 19 cited

Searches for lepton number violating $K^{+} \to π^{-} (π^{0}) e^{+} e^{+}$ decays

NA62 collaboration

Searches for lepton number violating $K^{+} \to π^{-} e^{+} e^{+}$ and $K^{+} \to π^{-} π^{0} e^{+} e^{+}$ decays have been performed using the complete dataset collected by the NA62 experiment at CERN in 20…

hep-ex2021★ 28 cited

Search for lepton number and flavour violation in $K^{+}$ and $π^{0}$ decays

NA62 Collaboration

Searches for the lepton number violating $K^{+} \to π^{-} μ^{+} e^{+}$ decay and the lepton flavour violating $K^{+} \to π^{+} μ^{-} e^{+}$ and $π^{0} \rightarrow μ…

hep-ex2020★ 82 cited

Search for heavy neutral lepton production in $K^{+}$ decays to positrons

NA62 collaboration

A search for heavy neutral lepton ( $N$ ) production in $K^{+} \to e^{+} N$ decays using the data sample collected by the NA62 experiment at CERN in 2017--2018 is reported. Upper limits of…

physics.med-ph2020★ 25 cited

An automatic deep learning-based workflow for glioblastoma survival prediction using pre-operative multimodal MR images

Jie Fu, Kamal Singhrao, Xinran Zhong +5

We proposed a fully automatic workflow for glioblastoma (GBM) survival prediction using deep learning (DL) methods. 285 glioma (210 GBM, 75 low-grade glioma) patients were included…

physics.med-ph2019★ 57 cited

Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer

Jie Fu, Xinran Zhong, Ning Li +6

Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and survival prediction. Our goal is to compare the handcrafted (explicitly designed…

physics.med-ph2019★ 54 cited

Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy

Jie Fu, Kamal Singhrao, Minsong Cao +7

Electron density maps must be accurately estimated to achieve valid dose calculation in MR-only radiotherapy. The goal of this study is to assess whether two deep learning models,…

physics.med-ph2018★ 101 cited

Male pelvic synthetic CT generation from T1-weighted MRI using 2D and 3D convolutional neural networks

Jie Fu, Yingli Yang, Kamal Singhrao +3

To achieve magnetic resonance (MR)-only radiotherapy, a method needs to be employed to estimate a synthetic CT (sCT) for generating electron density maps and patient positioning re…

astro-ph.SR2016★ 20 cited

Dynamics of a prominence-horn structure during its evaporation in the solar corona

Bing Wang, Yao Chen, Jie Fu +3

The physical connection among and formation mechanisms of various components of the prominence-horn cavity system remain elusive. Here we present observations of such a system, foc…

Improved calorimetric particle identification in NA62 using machine learning techniques

A measurement of the K+→π+μ+μ− decay

Performance of the NA62 trigger system

Searches for lepton number violating K+→π−(π0)e+e+ decays

Search for lepton number and flavour violation in K+ and π0 decays

Search for heavy neutral lepton production in K+ decays to positrons

An automatic deep learning-based workflow for glioblastoma survival prediction using pre-operative multimodal MR images

Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer

Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy

Male pelvic synthetic CT generation from T1-weighted MRI using 2D and 3D convolutional neural networks

Dynamics of a prominence-horn structure during its evaporation in the solar corona

A measurement of the $K^{+} \to π^{+} μ^{+} μ^{-}$ decay

Searches for lepton number violating $K^{+} \to π^{-} (π^{0}) e^{+} e^{+}$ decays

Search for lepton number and flavour violation in $K^{+}$ and $π^{0}$ decays

Search for heavy neutral lepton production in $K^{+}$ decays to positrons