TindART: A Personal Visual Arts Recommender. - Gjorgji Strezoski; Lucas Fijen; Jonathan Mitnik; Dániel László; Pieter de Marez Oyens; Yoni Schirris; Marcel Worring (ACM Multimedia, 2020)

DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images. - Yoni Schirris; Efstratios Gavves; Iris Nederlof; Hugo Mark Horlings; Jonas Teuwen (CoRR, 2021)

WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. - Yoni Schirris; Mendel Engelaer; Andreas Panteli; Hugo Mark Horlings; Efstratios Gavves; Jonas Teuwen (Digital and Computational Pathology, 2022)

DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer. - Yoni Schirris; Efstratios Gavves; Iris Nederlof; Hugo Mark Horlings; Jonas Teuwen (Medical Image Anal., 2022)

Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance. - Jan Moritz Niehues; Gustav Müller-Franzes; Yoni Schirris; Sophia J. Wagner; Michael Jendrusch; Matthias Kloor; Alexander T. Pearson; Hannah Sophie Muti; Katherine Jane Hewitt; Gregory Patrick Veldhuizen; Laura Zigutyte; Daniel Truhn; et al. (Comput. Biol. Medicine, 2024)

ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer. - Yoni Schirris; Rosie Voorthuis; Mark Opdam; Marte Liefaard; Gabe S. Sonke; Gwen Dackus; Vincent de Jong; Yuwei Wang; Annelot Van Rossum; Tessa G. Steenbruggen; Lars C. Steggink; Liesbeth G. E. de Vries; et al. (CoRR, 2025)

Examining the persuasiveness of text and voice agents: prosody aligned with information structure increases human-likeness, perceived personalisation and brand attitude. - Hilde A. M. Voorveld; Andreas Panteli; Yoni Schirris; Carolin Ischen; Evangelos Kanoulas; Tom Lentz (Behav. Inf. Technol., 2025)