Dr Alexander Krull

Dr Alexander Krull

School of Computer Science
Lecturer in Data Science and AI

Contact details

Address
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Publications

Recent publications

Article

von Chamier, L, Laine, RF, Jukkala, J, Spahn, C, Krentzel, D, Nehme, E, Lerche, M, Hernández-Pérez, S, Mattila, PK, Karinou, E, Holden, S, Solak, AC, Krull, A, Buchholz, T-O, Jones, ML, Royer, LA, Leterrier, C, Shechtman, Y, Jug, F, Heilemann, M, Jacquemet, G & Henriques, R 2021, 'Democratising deep learning for microscopy with ZeroCostDL4Mic', Nature Communications, vol. 12, no. 1, 2276. https://doi.org/10.1038/s41467-021-22518-0

Laine, RF, Jacquemet, G & Krull, A 2021, 'Imaging in focus: an introduction to denoising bioimages in the era of deep learning', The International Journal of Biochemistry & Cell Biology, vol. 140, 106077. https://doi.org/10.1016/j.biocel.2021.106077

Krull, A, Hirsch, P, Rother, C, Schiffrin, A & Krull, C 2020, 'Artificial-intelligence-driven scanning probe microscopy', Communications Physics, vol. 3, no. 1, pp. 1-8.

Krull, A, Vičar, T, Prakash, M, Lalit, M & Jug, F 2020, 'Probabilistic noise2void: Unsupervised content-aware denoising', Frontiers in Computer Science, vol. 2, pp. 5. https://doi.org/10.3389/fcomp.2020.00005

Buchholz, T-O, Krull, A, Shahidi, R, Pigino, G, Jékely, G & Jug, F 2019, 'Content-aware image restoration for electron microscopy', Methods in Cell Biology, vol. 152, pp. 277-289.

Chapter

Buchholz, T-O, Prakash, M, Schmidt, D, Krull, A & Jug, F 2020, DenoiSeg: Joint Denoising and Segmentation. in DenoiSeg: Joint Denoising and Segmentation. https://doi.org/10.1007/978-3-030-66415-2_21

Goncharova, AS, Honigmann, A, Jug, F & Krull, A 2020, Improving Blind Spot Denoising for Microscopy. in Improving Blind Spot Denoising for Microscopy. https://doi.org/10.1007/978-3-030-66415-2_25

Conference contribution

Tonks, S, Hsu, C, Hood, S, Musso, R, Hopely, C, Doan, M, Edwards, E, Krull, A & Styles, I 2023, Evaluation of virtual staining for high-throughput screenings. in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). ISBI, IEEE, 20th IEEE International Symposium on Biomedical Imaging, Cartagena , Colombia, 18/04/23.

Salmon, B & Krull, A 2023, Towards structured noise models for unsupervised denoising. in L Karlinsky, T Michaeli & K Nishino (eds), Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part IV. 1 edn, Lecture Notes in Computer Science, vol. 13804, Springer, Cham, pp. 379–394. https://doi.org/10.1007/978-3-031-25069-9_25

Prakash, M, Lalit, M, Tomancak, P, Krull, A & Jug, F 2020, Fully unsupervised probabilistic noise2void. in 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). pp. 154-158.

Prakash, M, Buchholz, T-O, Lalit, M, Tomancak, P, Jug, F & Krull, A 2020, Leveraging self-supervised denoising for image segmentation. in 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). pp. 428-432.

Broaddus, C, Krull, A, Weigert, M, Schmidt, U & Myers, G 2020, Removing structured noise with self-supervised blind-spot networks. in 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). pp. 159-163.

Krull, A, Buchholz, T-O & Jug, F 2019, Noise2void-learning denoising from single noisy images. in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2129-2137. <https://openaccess.thecvf.com/content_CVPR_2019/papers/Krull_Noise2Void_-_Learning_Denoising_From_Single_Noisy_Images_CVPR_2019_paper.pdf>

Brachmann, E, Krull, A, Nowozin, S, Shotton, J, Michel, F, Gumhold, S & Rother, C 2017, Dsac-differentiable ransac for camera localization. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 6684-6692.

Michel, F, Kirillov, A, Brachmann, E, Krull, A, Gumhold, S, Savchynskyy, B & Rother, C 2017, Global hypothesis generation for 6D object pose estimation. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 462-471.

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