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03/21/2023
Probabilistic Domain Adaptation for Biomedical Image Segmentation
Segmentation is a key analysis tasks in biomedical imaging. Given the ma...
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07/06/2021
Stateless actor-critic for instance segmentation with high-level priors
Instance segmentation is an important computer vision problem which rema...
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03/26/2021
Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings
Most state-of-the-art instance segmentation methods have to be trained o...
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09/10/2020
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks
This work introduces a new proposal-free instance segmentation method th...
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12/29/2019
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation
Semantic instance segmentation is the task of simultaneously partitionin...
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08/27/2019
Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells
Recent advances in high-throughput electron microscopy imaging enable de...
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06/27/2019
A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation
We propose a novel theoretical framework that generalizes algorithms for...
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05/25/2019
Leveraging Domain Knowledge to improve EM image segmentation with Lifted Multicuts
The throughput of electron microscopes has increased significantly in re...
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04/25/2019
The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning
Image partitioning, or segmentation without semantics, is the task of de...
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05/07/2018