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DL Club |
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Upcoming meetings:
Past meetings:
13.05.2019
**Dr. Henrik Seidel, Dr. Djork-Arné Clevert, and Robin Winter, Bayer AI**. Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations.
**Dr. Wolfgang Kopp, Akalin/Ohler Labs** Janggu - a python package for DL in genomics.
**Jonathan Ronen, Akalin Lab**. Maui - Evaluation of colorectal cancer subtypes and cell lines using deep learning.
**Ella Bahry, Preibisch Lab**. CNN based approach for accurate drosophila wing registration.
13.02.2019
**Alf Wachsmann, Scientific Computing, MDC**. Deep Learning Resources at MDC.
[view slides](https://www.slideshare.net/secret/5F2Cen67Ylm0lc){:target="_blank"}
03.12.2018
**Uwe Schmidt and Martin Weigert, Myers Lab, MPI-CBG**. Deep learning based image restoration and cell segmentation for fluorescence microscopy.
26.06.2018
**Dagmar Kainmueller, MDC**. Mapping Auto-context Decision Forests to Deep ConvNets.
30.05.2018
**Remo Monti, Lippert Lab, MDC**. Deep Learning for Clinical Brain MRI Segmentation - a Comparison of 2D Convolutional Models, 3D Convolutional Models and More.
[view slides](https://www.slideshare.net/secret/F3T1b3XkCrts0O){:target="_blank"}
16.05.2018
**Frederik Pahde, SAP Berlin**. Cross-modal Hallucination for Few-Shot Learning.
04.04.2018
**Bastiaan Spanjaard, Junker Lab, MDC**. Journal club: DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning.
21.03.2018
**Jonathan Ronen, Akalin Lab, MDC**. Variational autoencoders.
[view slides](https://www.slideshare.net/JonathanRonen/jonathan-ronen-variational-autoencoders-tutorial){:target="_blank"}
14.02.2018
**Vedran Franke, Akalin Lab, MDC**. Sequence Embedding Models in Biology.
23.01.2018
**Wolfgang Kopp, Akalin Lab, MDC**. Transcription Factor Binding Prediction using Deep Learning.
**Marwan Zouinkhi, Preibisch Lab, MDC**. One Shot Training.
10.01.2018
**Masha Ghanbari, Ohler Lab, MDC**. Application of deep learning for genomics.
13.12.2017
**Ella Bahry, Preibisch Lab, MDC**. Journal club: U-Net: Convolutional Networks for Biomedical Image Segmentation.
[paper link](https://arxiv.org/pdf/1505.04597.pdf){:target="_blank"},
[view slides](https://drive.google.com/file/d/1AMSAJOvztkYBjMS4JNqNrTHnEUqb_nf2/view?usp=sharing){:target="_blank"}
22.11.2017
**Ella Bahry, Preibisch Lab, MDC**. General Intro to Deep Learning.[view slides](https://drive.google.com/file/d/158QNKfj-OZcmnOzPkbJuCkPtdoa22Vlr/view){:target="_blank"}
**Klim Kolyvanov, Preibisch Lab, MDC**. MNIST Demo with Keras.
[github link](https://github.com/PreibischLab/dl-club){:target="_blank"}