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Hey, I'm Qinghui (Brian) Liu, a researcher at Oslo University Hospital (OUS) CRAI group, and am working on the development of deep learning algorithms for medical image analysis. I hold a PhD from UiT machine learning group and Norwegian Computing Center. My research interests center around supervised/semi-supervised/self-supervised machine learning methods for computer vision and multi-modal data.

  • 😄   Ask me about anything tech related, I am happy to help;
  • 📫   I’m looking to collaborate on machine/deep learning applications in the medical field.

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Q.Liu's Projects

atmega-mcu icon atmega-mcu

USB oscilloscope and waveform generator desigined based on ATmega2560 MCU

autodl icon autodl

DeepWisdom's 1'st Solution for AutoDL challenge@NeurIPS. Automated Deep Learning without ANY human intervention. Generic algorithms for multi-label classification problems in different modalities: image, video, speech, text and tabular data.

ax icon ax

Adaptive Experimentation Platform

coursework-vhdl icon coursework-vhdl

VHDL Course projects, including sport watch, score board, and some small VHDL units like ALU, MUX, 7-segment ...

ddpm-cd icon ddpm-cd

Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

deeplearning icon deeplearning

Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deepviewagg icon deepviewagg

[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

detr icon detr

End-to-End Object Detection with Transformers

diffusevae icon diffusevae

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

digital-img-ana icon digital-img-ana

basic digital image analysis exercise and scientific computing practice with matlab or python

enf_recorder icon enf_recorder

Electric Network Frequency (ENF) signal recorder, developed by Qt5/C++ including setup program and a simple users manual

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

lambda-networks icon lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

models icon models

Models and examples built with TensorFlow

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