Måns Larsson

Doktorand at Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Imaging and Image Analysis

Måns Larsson is a PhD student in the Computer Vision and Medical Image Analysis group supervised by Fredrik Kahl. His research interests lies within segmentation of medical 3D-images as well as deep structured models for 2D segmentation.

Source: chalmers.se

Showing 8 publications

2018

A projected gradient descent method for crf inference allowing end-to-end training of arbitrary pairwise potentials

Måns Larsson, Anurag Arnab, Fredrik Kahl et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10746, p. 564-579
Paper in proceedings
2018

Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks

Måns Larsson, Zhang Yuhang, Fredrik Kahl
Applied Soft Computing Journal. Vol. 70, p. 465-470
Journal article
2018

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference

Måns Larsson, Anurag Arnab, Shuai Zheng et al
SIAM Journal on Imaging Sciences. Vol. 11 (4), p. 2610-2628
Journal article
2018

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction

Anurag Arnab, Shuai Zheng, Sadeep Jayasumana et al
IEEE Signal Processing Magazine. Vol. 35 (1), p. 37-52
Journal article
2017

Max-margin learning of deep structured models for semantic segmentation

Måns Larsson, Jennifer Alvén, Fredrik Kahl
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 28-40
Paper in proceedings
2017

Robust abdominal organ segmentation using regional convolutional neural networks

Måns Larsson, Zhang Yuhang, Fredrik Kahl
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 41-52
Paper in proceedings
2016

Deepseg: Abdominal Organ Segmentation Using Deep Convolutional Neural Networks

Måns Larsson, Yuhang Zhang, Fredrik Kahl
SSBA
Conference contribution

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