Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. - Saul Fuster; Farbod Khoraminia; Umay Kiraz; Neel Kanwal; Vebjørn Kvikstad; Trygve Eftestøl; Tahlita C. M. Zuiverloon; Emiel A. M. Janssen; Kjersti Engan (IVMSP, 2022)

Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. - Neel Kanwal; Saul Fuster; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Chunming Rong; Kjersti Engan (IVMSP, 2022)

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. - Saul Fuster; Farbod Khoraminia; Trygve Eftestøl; Tahlita C. M. Zuiverloon; Kjersti Engan (EUSIPCO, 2023)

Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. - Neel Kanwal; Trygve Eftestøl; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Kjersti Engan (PAKDD (3), 2023)

Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. - Neel Kanwal; Miguel López-Pérez; Umay Kiraz; Tahlita C. M. Zuiverloon; Rafael Molina 001; Kjersti Engan (Comput. Medical Imaging Graph., 2024)

Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images. - Saul Fuster; Farbod Khoraminia; Julio Silva-Rodríguez; Umay Kiraz; Geert J. L. H. van Leenders; Trygve Eftestøl; Valery Naranjo; Emiel A. M. Janssen; Tahlita C. M. Zuiverloon; Kjersti Engan (CoRR, 2024)

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs. - Neel Kanwal; Farbod Khoraminia; Umay Kiraz; Andrés Mosquera-Zamudio; Carlos Monteagudo; Emiel A. M. Janssen; Tahlita C. M. Zuiverloon; Chunming Rong; Kjersti Engan (BMC Medical Informatics Decis. Mak., 2024)