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2022
Mark Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach
Ahrnbom, Martin ^LU (2022)
- Thesis › Doctoral thesis (compilation)
2021
Mark Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease
Arvidsson, Ida ^LU (2021)
- Thesis › Doctoral thesis (monograph)
2020
Mark Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition
Olsson, Alexander E. ^LU ; Björkman, Anders ^LU and Antfolk, Christian ^LU (2020) In Computers in Biology and Medicine 120.
- Contribution to journal › Article
2019
Mark Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
Tall, Kasper ; Arvidsson, Ida ^LU ; Overgaard, Niels Christian ^LU ; Åström, Karl ^LU and Heyden, Anders ^LU (2019) Medical Imaging 2019: Physics of Medical Imaging 10956.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark MistNet : Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
Lin, Tsung Yu ; Winner, Kevin ; Bernstein, Garrett ; Mittal, Abhay ; Dokter, Adriaan M. ; Horton, Kyle G. ; Nilsson, Cecilia ^LU ; Van Doren, Benjamin M. ; Farnsworth, Andrew and La Sorte, Frank A. , et al. (2019) In Methods in Ecology and Evolution 10(11). p.1908-1922
- Contribution to journal › Article
2018
Mark A projected gradient descent method for crf inference allowing end-to-end training of arbitrary pairwise potentials
Larsson, Måns ; Arnab, Anurag ; Kahl, Fredrik ^LU ; Zheng, Shuai and Torr, Philip (2018) 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMVCPR 2017 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10746 LNCS. p.564-579
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Robust abdominal organ segmentation using regional convolutional neural networks
Larsson, Måns ; Zhang, Yuhang and Kahl, Fredrik ^LU (2018) In Applied Soft Computing 70. p.465-471
- Contribution to journal › Article
2017
Mark Max-margin learning of deep structured models for semantic segmentation
Larsson, Måns ; Alvén, Jennifer and Kahl, Fredrik ^LU (2017) 20th Scandinavian Conference on Image Analysis, SCIA 2017 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10270 LNCS. p.28-40
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Robust abdominal organ segmentation using regional convolutional neural networks
Larsson, Måns ; Zhang, Yuhang and Kahl, Fredrik ^LU (2017) 20th Scandinavian Conference on Image Analysis, SCIA 2017 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10270 LNCS. p.41-52
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
Gummeson, Anna ; Arvidsson, Ida ^LU ; Ohlsson, Mattias ^LU ; Overgaard, Niels C. ^LU ; Krzyzanowska, Agnieszka ^LU ; Heyden, Anders ^LU ; Bjartell, Anders ^LU and Aström, Kalle ^LU (2017) Medical Imaging 2017: Digital Pathology 10140.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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