Thom Doeleman, Siemen Brussee, Liesbeth M. Hondelink, Danie¨lle W.F. Westerbeek, Ana M. Sequeira, Pieter A. Valkema, Patty M. Jansen, Junling He, Maarten H. Vermeer, Koen D. Quint, Marijke R. van Dijk, Fons J. Verbeek, Jesper Kers and Anne M.R. Schrader (2024)
Deep LearningeBased Classification of Early-Stage Mycosis Fungoides and Benign Inflammatory Dermatoses on H&E-Stained Whole-Slide Images: A Retrospective, Proof-of-Concept Study.
Journal of Investigative Dermatology, doi:10.1016/j.jid.2024.07.036

Stella S. Antunes , Gabriel Forn-Cuní, Nelilma C. Romeiro, Herman P. Spaink, Fons J. Verbeek, Michelle F. Muzitano (2024)
Embryonic and larval zebrafish models for the discovery of new bioactive compounds against tuberculosis
Journal of Drug Discovery Today, Volume 29, Issue 11, November 2024, 104163, https://doi.org/10.1016/j.drud...

Marlon Heggdorne de Araujo, Salomé Muñoz Sánchez, Thatiana Lopes Biá Ventura Simão, Natalia Nowik, Stella Schuenck Antunes, Shaft Corrêa Pinto, Davide Sorze, Francesca Boldrin, Riccardo Manganelli, Nelilma Correia Romeiro, Elena B. Lasunskaia, Fons J. Verbeek, Herman P. Spaink, Michelle Frazão Muzitano (2024)
Exploring the Antimycobacterial Potential of Podocarpusflavone A from Kielmeyera membranacea: In Vitro and In Vivo Insights
Pharmaceuticals 2024, 17(12), 1560; https://doi.org/10.3390/ph1712...

Irene Martorelli, Aram Pooryousefi, Haike van Thiel, Floris J Sicking, Guus J Ramackers, Vincent Merckx, Fons J Verbeek (2024)
Multiple graphical views for automatically generating SQL for the MycoDiversity DB; making fungal biodiversity studies accessible
Biodiversity Data Journal 12 e119660, DOI:https://doi.org/10.3897/BDJ.12....

J Li, J Li, C Wang, FJ Verbeek, T Schultz, H Liu (2024)
MS2OD: outlier detection using minimum spanning tree and medoid selection
Machine Learning: Science and Technology 5 (1), 015025

Kurchaba, S., Sokolovsky, A., van Vliet, J., Verbeek, F.J., Veenman, C.J. (2024)
Sensitivity analysis for the detection of NO2 plumes from seagoing ships using TROPOMI data.
Remote Sensing of Environment 304, 114041. doi:10.1016/j.rse.2024.114041.

Cao L., Schwach, V., Verbeek, F.J. (2024)
A Survey of AI Utilisation in High-Throughput Screening Systems Using Stem Cell Models
The International Conference on Innovations in Computing Research, 595-604

Xiong Z., Verbeek FJ. (2024)
Weakly Supervised Semantic Segmentation via Contextual Cross-Attention.
Proc. 9th Int. Conf. on Frontiers of Signal Processing, pp 83 - 92

Paulus E., Burie J-C., Hadi S., Verbeek FJ. (2024)
Ensemble Convolutional Neural Networks for Handwriting Recognition on Palm Leaf Manuscripts
Prod. ICICAM 2024, pp.

Javanmardi, S., Jahanbanifard, M., Bonsangue M., Verbeek F.J. (2023)
Using a Novel Capsule Network for an Innovative Approach to Image Captioning,
The Third AAAI Workshop on Scientific Document Understanding, CEUR.

Jongsma S., Schwach V., Ten Den S.A., Passier, R., Verbeek F.J., Cao L.,(2023)
Segmentation of NKX2.5 Signal in Human Pluripotent Stem Cell-Derived Cardiomyocytes
Proc. 1st Int. Conf. DSAI 2023, Bangkok, Thailand, November 27–29, 2023
Communications in Computer and Information Science 1942, pp 179-184

Javanmardi, S., Tang, X., Jahanbanifard, M., Verbeek F.J. (2023)
Unsupervised Segmentation of High-Throughput Zebrafish Images Using Deep Neural Networks and Transformers.
iProc. 1st Int. Conf. DSAI 2023, Bangkok, Thailand, November 27–29, 2023
Communications in Computer and Information Science 1942, pp. 213–227

Micheal Liem (2024)
Genomics applications of nanopore long-read sequencing for small to large sized genomes
PhD Thesis Leiden University (April 2024)

Chen Li (2024)
Aspects of the Analysis of Cell Imagery:from Shape to Understanding
PhD Thesis Leiden University (June 2024)

Solomiia Kurchaba (2024)
Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
PhD Thesis Leiden University (June 2024)

Shima Javanmardi (2024)
From Pixels to Patterns: AI-Driven Image Analysis in Multiple Domains
PhD Thesis Leiden University (September 2024)

Leon Helwerda
Grip on Software: Understanding development progress of SCRUM sprints and backlogs
PhD Thesis Leiden University (September 2024)