Jesper Kers

According to our database, Jesper Kers authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Ecologically sustainable benchmarking of AI models for histopathology.

Yu-Chia Lan, Martin Strauch, Pourya Pilva, Nikolas E. J. Schmitz, Alireza Vafaei Sadr, Leon Niggemeier, Huong Quynh Nguyen, David L. Hölscher, Tri Q. Nguyen, Jesper Kers, Roman David Bülow, Peter Boor

npj Digit. Medicine, 2024

Graph Neural Networks in Histopathology: Emerging Trends and Future Directions.

Siemen Brussee, Giorgio Buzzanca, Anne M. R. Schrader, Jesper Kers

CoRR, 2024

2023

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

Huy Q. Vo, Pietro Antonio Cicalese, Surya Seshan, Syed Asad Rizvi, Aneesh Vathul, Gloria Bueno, Aníbal Pedraza Dorado, Niels Grabe, Katharina Stolle, Francesco Pesce, Joris J. T. H. Roelofs, Jesper Kers, Vitoantonio Bevilacqua, Nicola Altini, Bernd Schröppel, Dario Roccatello, Antonella Barreca, Savino Sciascia, Chandra Mohan, Hien Van Nguyen, Jan U. Becker

CoRR, 2023

Advances in Kidney Biopsy Structural Assessment through Dense Instance Segmentation.

Zhan Xiong, Junling He, Pieter Valkema, Tri Q. Nguyen, Maarten Naesens, Jesper Kers, Fons J. Verbeek

CoRR, 2023

Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net.

Jia Li, Junling He, Jingmin Long, Chenxu Wang, Jesper Kers, Fons J. Verbeek

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.

Yichi Zhang, Jesper Kers, Clarissa A. Cassol, Joris J. Roelofs, Najia Idrees, Alik Farber, Samir Haroon, Kevin P. Daly, Suvranu Ganguli, Vipul C. Chitalia, Vijaya B. Kolachalama

CoRR, 2021

2019

Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology.

Thomas de Bel, Meyke Hermsen, Jesper Kers, Jeroen van der Laak, Geert Litjens

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019