Tag: deep learning

OUR PAPER WAS PUBLISHED on ISBI 2020 as Best Paper Finalist LINK

Here I summarized a very exciting differentiable digital signal processing tool proposed by Google's team in Jan 2020. The tool is especially useful in audio waveform reconstruction and some other related task.

The first assignment of Digital Image Processing course (2019 spring in Tsinghua)

可以说我的申请季过得相当充实而有意义，在这个忙乱的申请季，通过种种的思索和抉择，让我慢慢找寻到了未来的方向。

We then turn to predict RNA motif (especially RNA-protein interaction related motif). It is another harder problem compared with simply applying deep neural network to 1D and 2D structure data. We develop the mixture model for PWM optimization. We explore the possibility to use VAE for unsupervise

For Synapse project, I work with Zudi and Donglai, we now rank No.1 in the CREMI contest. And we will submit a paper to CVPR this November.

I mainly focus on semantic segmentation and potentially related papers.

As a student from life science background with machine learning and deep learning skills, I have a broader mind to think about medical image problems from different views. From my perspectives, deep learning aided medical image analysis will soon have a wide range of application.

- SummerIntern/synapticpartner at master · james20141606/SummerIntern · GitHub - Synapse polarity - SummerIntern/synapsecluster at master · james20141606/SummerIntern · GitHub