Search Results for author: Anna Kreshuk

Found 15 papers, 6 papers with code

Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed

no code implementations ECCV 2020 Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht

Semantic instance segmentation is the task of simultaneously partitioning an image into distinct segments while associating each pixel with a class label.

graph partitioning Instance Segmentation +2

Stateless actor-critic for instance segmentation with high-level priors

no code implementations6 Jul 2021 Paul Hilt, Edgar Kaziakhmedov, Sourabh Bhide, Maria Leptin, Constantin Pape, Anna Kreshuk

We formulate the instance segmentation problem as graph partitioning and the actor critic predicts the edge weights driven by the rewards, which are based on the conformity of segmented instances to high-level priors on object shape, position or size.

graph partitioning Instance Segmentation +1

Reinforcement learning for instance segmentation with high-level priors

no code implementations NeurIPS 2021 Paul Hilt, Edgar Kaziakhmedov, Sourabh Bhide, Maria Leptin, Constantin Pape, Anna Kreshuk

We formulate the instance segmentation problem as graph partitioning and the actor critic predicts the edge weights driven by the rewards, which are based on the conformity of segmented instances to high-level priors on object shape, position or size.

graph partitioning Instance Segmentation +2

Common Limitations of Image Processing Metrics: A Picture Story

1 code implementation12 Apr 2021 Annika Reinke, Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Michael Baumgartner, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Evangelia Christodoulou, Beth Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Ben Glocker, Patrick Godau, Fred Hamprecht, Daniel A. Hashimoto, Doreen Heckmann-Nötzel, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Bernhard Kainz, Emre Kavur, Hannes Kenngott, Jens Kleesiek, Thijs Kooi, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, David Moher, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, M. Alican Noyan, Jens Petersen, Gorkem Polat, Nasir Rajpoot, Mauricio Reyes, Nicola Rieke, Michael Riegler, Hassan Rivaz, Julio Saez-Rodriguez, Clarisa Sanchez Gutierrez, Julien Schroeter, Anindo Saha, Shravya Shetty, Maarten van Smeden, Bram Stieltjes, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein

While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation.

Instance Segmentation object-detection +2

Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks

no code implementations10 Sep 2020 Alberto Bailoni, Constantin Pape, Steffen Wolf, Anna Kreshuk, Fred A. Hamprecht

This work introduces a new proposal-free instance segmentation method that builds on single-instance segmentation masks predicted across the entire image in a sliding window style.

Instance Segmentation Semantic Segmentation

The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation

no code implementations29 Dec 2019 Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht

Semantic instance segmentation is the task of simultaneously partitioning an image into distinct segments while associating each pixel with a class label.

graph partitioning Instance Segmentation +2

Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells

1 code implementation27 Aug 2019 Artem Lukoyanov, Isabella Haberbosch, Constantin Pape, Alwin Kraemer, Yannick Schwab, Anna Kreshuk

Recent advances in high-throughput electron microscopy imaging enable detailed study of centrosome aberrations in cancer cells.

GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation

no code implementations CVPR 2022 Alberto Bailoni, Constantin Pape, Nathan Hütsch, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht

We propose a theoretical framework that generalizes simple and fast algorithms for hierarchical agglomerative clustering to weighted graphs with both attractive and repulsive interactions between the nodes.

graph partitioning Instance Segmentation +2

The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning

no code implementations25 Apr 2019 Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht

Unlike seeded watershed, the algorithm can accommodate not only attractive but also repulsive cues, allowing it to find a previously unspecified number of segments without the need for explicit seeds or a tunable threshold.

graph partitioning

Domain Adaptive Segmentation in Volume Electron Microscopy Imaging

1 code implementation23 Oct 2018 Joris Roels, Julian Hennies, Yvan Saeys, Wilfried Philips, Anna Kreshuk

In this work, we extend recently proposed classification DA techniques to an encoder-decoder layout and propose a novel method that adds a reconstruction decoder to the classical encoder-decoder segmentation in order to align source and target encoder features.

Classification Domain Adaptation +1

The Mutex Watershed: Efficient, Parameter-Free Image Partitioning

no code implementations ECCV 2018 Steffen Wolf, Constantin Pape, Alberto Bailoni, Nasim Rahaman, Anna Kreshuk, Ullrich Kothe, FredA. Hamprecht

Image partitioning, or segmentation without semantics, is the task of decomposing an image into distinct segments; or equivalently, the task of detecting closed contours in an image.

graph partitioning

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