Search Results for author: Mangal Prakash

Found 6 papers, 6 papers with code

Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods

1 code implementation3 Apr 2021 Mangal Prakash, Mauricio Delbracio, Peyman Milanfar, Florian Jug

In this work we show, for the first time, that generative diversity denoising (GDD) approaches can learn to remove structured noises without supervision.

Image Denoising Image Restoration

DenoiSeg: Joint Denoising and Segmentation

1 code implementation6 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.

Denoising Few-Shot Learning

Leveraging Self-supervised Denoising for Image Segmentation

1 code implementation27 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.

Denoising Semantic Segmentation

Fully Unsupervised Probabilistic Noise2Void

1 code implementation27 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.

Image Denoising

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