Nested Multiple Instance Learning with Attention Mechanisms. - Saul Fuster; Trygve Eftestøl; Kjersti Engan (ICMLA, 2022)

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)

Deep Learning for Predicting Metastasis on Melanoma Wsis. - Christopher Andreassen; Saul Fuster; Helga Hardardottir; Emiel A. M. Janssen; Kjersti Engan (ISBI, 2023)

A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. - Marie Bø-Sande; Edvin Benjaminsen; Neel Kanwal; Saul Fuster; Helga Hardardottir; Ingrid Lundal; Emilius A. M. Janssen; Kjersti Engan (NLDL, 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)

NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning. - Saul Fuster; Umay Kiraz; Trygve Eftestøl; Emiel A. M. Janssen; Kjersti Engan (CoRR, 2024)