Welcome to Han Peng’s homepage!

about

Welcome! I am postdoc in the University of Oxford jointly working in the computer vision lab: Visual Geometry Group and the brain imaging analysis lab: WIN-FMRIB. My research interest is developing and applying AI techniques for pattern discovering in large scientific/medical data.

news

• Oct, 2020 The brain age paper for Simple Fully ConvNet (SFCN) is published in Medical Image Analysis

• Feb, 2020 ConvNet can extract intrinsic properties from noisy physical experiments! One paper published in Review of Scientific Instruments

• Nov, 2019 Back to Oxford in VGG and WIN-FMRIB.

• Jun, 2019 World leading in brain age prediction competetion! We won PAC 2019 brain age prediction challenge and are keeping the world record in brain age prediction in the UK Biobank dataset!
  • (Update in Dec, 2020) The publication is out in Medical Image Analysis and the code and the pretrained weights from UK Biobank are released in the GitHub repository. A preprint dedicated for the technical aspects for PAC 2019 is in bioRxiv.

• Jan, 2019 Moving to the Netherlands! Working as a postdoc Donders Institute in the Netherlands in collaboration with Prof Christian Beckmann.

• Aug, 2018 Received my DPhil in Condensed Matter Physics. Thesis: Spatial resolved electronic structure of low dimensional materials and data analysis.

• Jul, 2018 Deep learning with large-scale medical imaging data. I am working on the UK Biobank data to find disease and ageing patterns in the population. This is a postdoctoral project with Prof Steve Smith in the MR imaging analysis group in WIN-FMRIB and Prof Andrea Vedaldi in the computer vision lab VGG.