1 code implementation • 6 May 2020 • Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug
Here we propose DenoiSeg, a new method that can be trained end-to-end on only a few annotated ground truth segmentations.
1 code implementation • 27 Nov 2019 • Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
Image denoising is the first step in many biomedical image analysis pipelines and Deep Learning (DL) based methods are currently best performing.
3 code implementations • ICLR 2021 • Mangal Prakash, Alexander Krull, Florian Jug
Deep Learning based methods have emerged as the indisputable leaders for virtually all image restoration tasks.
1 code implementation • ICLR 2022 • Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug
This work presents an interpretable approach for unsupervised and diverse image restoration.
1 code implementation • 27 Nov 2019 • Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull
Deep learning (DL) has arguably emerged as the method of choice for the detection and segmentation of biological structures in microscopy images.
1 code implementation • 14 Apr 2020 • Stefan Haller, Mangal Prakash, Lisa Hutschenreiter, Tobias Pietzsch, Carsten Rother, Florian Jug, Paul Swoboda, Bogdan Savchynskyy
We demonstrate the efficacy of our method on real-world tracking problems.