Jens Petersen

Jens Petersen

Lektor


  1. Udgivet

    Segmentation of roots in soil with U-Net

    Smith, Abraham George, Petersen, Jens, Selvan, Raghav & Rasmussen, Camilla Ruø, 2020, I: Plant Methods. 16, s. 1-15 13.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  2. Udgivet

    RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy

    Smith, Abraham George, Petersen, Jens, Terrones-Campos, C., Berthelsen, A. K., Forbes, N. J., Darkner, Sune, Specht, Lena & Vogelius, I. R., 2022, I: Medical Physics. 49, 1, s. 461-473

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    RootPainter: deep learning segmentation of biological images with corrective annotation

    Smith, Abraham George, Han, Eusun, Petersen, Jens, Olsen, N. A. F., Giese, C., Athmann, M., Dresbøll, Dorte Bodin & Thorup-Kristensen, Kristian, 2022, I: New Phytologist. 236, s. 774-791 18 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. Udgivet

    Segmenting Two-Dimensional Structures with Strided Tensor Networks

    Selvan, Raghav, Dam, Erik Bjørnager & Petersen, Jens, 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (red.). Springer, s. 401-414 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12729 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks

    Selvan, Raghav, Dam, Erik Bjørnager, Flensborg, S. A. & Petersen, Jens, 2022, I: The Journal of Machine Learning for Biomedical Imaging. 2022, s. 1-24 005.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. Udgivet

    Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks

    Selvan, Raghav, Kipf, T., Welling, M., Juarez, A. G., Pedersen, J. H., Petersen, Jens & de Bruijne, Marleen, 2020, I: Medical Image Analysis. 64, 12 s., 101751.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. Udgivet

    Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses

    Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 okt. 2019, I: Medical Physics. 46, 10, s. 4431-4440

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  8. Udgivet
  9. Udgivet

    Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods

    Schön, Julian Elisha, Selvan, Raghav & Petersen, Jens, 2022, Deep Generative Models: Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, s. 24-33 (Lecture Notes in Computer Science, Bind 13609).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing

    Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Ferrante, E., Pennec, X., Dalca, A. V., Parisot, S., Joshi, S., Batmanghelich, N. K., Sotiras, A., Nielsen, M., Sabuncu, M. R., Fletcher, T., Shen, L., Durrleman, S. & Sommer, S. (red.). Springer, s. 53-63 (Lecture notes in computer science, Bind 10551).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

ID: 22733621