Jesper Kers

Orcid: 0000-0002-2418-5279

According to our database1, Jesper Kers authored at least 9 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Graph neural networks in histopathology: Emerging trends and future directions.
Medical Image Anal., 2025

Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies.
Comput. Biol. Medicine, 2025

Advances in kidney biopsy lesion assessment through dense instance segmentation.
Artif. Intell. Medicine, 2025

2024
Ecologically sustainable benchmarking of AI models for histopathology.
npj Digit. Medicine, 2024

2023
Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs).
CoRR, 2023

Advances in Kidney Biopsy Structural Assessment through Dense Instance Segmentation.
CoRR, 2023

Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2021
U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations.
CoRR, 2021

2019
Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019


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