Dr Alexander Krull

Dr Alexander Krull

School of Computer Science
Assistant Professor of Data Science and Artificial Intelligence

Contact details

Address
University Âé¶¹¾«Ñ¡
Edgbaston
Birmingham
B15 2TT
UK

Dr. Alexander Krull is Assistant Professor in Data Science and Artificial Intelligence at the University Âé¶¹¾«Ñ¡'s School of Computer Science. He is a member of COMPARE. His research focuses on developing advanced methods for image analysis and denoising, particularly for microscopy applications. Dr. Krull is a pioneer in establishing self-supervised and unsupervised denoising methods that do not require clean reference images for training.  Notably, he introduced , a self-supervised approach that enables denoising from unpaired noisy images without the need for clean targets. In more recent research, Dr. Krull works on utilising generative image models for unsupervised denoising, leading to approaches such as  and , which are capable of accounting the inherent uncertainty of the denoising problem. Dr. Krull’s contributions have been widely utilised in the life science community. His work has significantly advanced the application of deep learning techniques in biomedical imaging.

Publications

Recent publications

Article

Iwamoto, Y, Salmon, B, Yoshioka, Y, Kojima, R, Krull, A & Ota, S 2025, '', Nature Communications, vol. 16, no. 1, 1728.

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, '', Nature Communications, vol. 12, no. 1, 2276.

Laine, RF, Jacquemet, G & Krull, A 2021, '', The International Journal of Biochemistry & Cell Biology, vol. 140, 106077.

Krull, A, Hirsch, P, Rother, C, Schiffrin, A & Krull, C 2020, '', Communications Physics, vol. 3, no. 1, pp. 1-8.

Chapter

Buchholz, T-O, Prakash, M, Schmidt, D, Krull, A & Jug, F 2020, . in DenoiSeg: Joint Denoising and Segmentation.

Goncharova, AS, Honigmann, A, Jug, F & Krull, A 2020, . in Improving Blind Spot Denoising for Microscopy.

Conference contribution

Salmon, B & Krull, A 2025, . in 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE Workshop on Applications of Computer Vision (WACV), IEEE, pp. 2379-2389, 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tuscon, Arizona, United States, 28/02/25.

Liu, Y, Krull, A, Basevi, H, Leonardis, A & Jenkins, M 2024, . in Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Advances in neural information processing systems, vol. 37, NeurIPS, Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, 10/12/24. <>

Krull, A, Basevi, H, Salmon, B, Zeug, A, Müller, F, Tonks, S, Muppala, L & Leonardis, A 2024, . in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE Workshop on Applications of Computer Vision (WACV), IEEE, pp. 1528-1537, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, United States, 4/01/24.

Cheng, X, Jia, X, Lu, W, Li, Q, Shen, L, Krull, A & Duan, J 2024, . in Medical Image Computing and Computer Assisted Intervention – MICCAI 2024: 27th International Conference, Marrakesh, Morocco, October 6–10, 2024. Lecture Notes in Computer Science, vol. 15002, Springer, 27th International Conference on Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco, 6/10/24.

Salmon, B & Krull, A 2023, . in 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, IEEE, pp. 3840-3847, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 1/10/23.

Tonks, S, Hsu, C, Hood, S, Musso, R, Hopely, C, Doan, M, Edwards, E, Krull, A & Styles, I 2023, . in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)., 10230501, ISBI, IEEE, 20th IEEE International Symposium on Biomedical Imaging, Cartagena , Colombia, 18/04/23.

Salmon, B & Krull, A 2023, . 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.

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

Preprint

Salmon, B & Krull, A 2023 '' arXiv, pp. 1-32.