Survey of XAI in digital pathology. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (CoRR, 2020)

Survey of XAI in Digital Pathology. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (AI and ML for Digital Pathology, 2020)

Unsupervised Anomaly Detection In Digital Pathology Using GANs. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (ISBI, 2021)

Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? - Milda Poceviciute; Gabriel Eilertsen; Sofia Jarkman; Claes Lundström (CoRR, 2021)

Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. - Milda Poceviciute; Gabriel Eilertsen; Stina Garvin; Claes Lundström (MICCAI (5), 2023)

Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (Digital and Computational Pathology, 2023)

Generalisation and reliability of deep learning for digital pathology in a clinical setting. - Milda Poceviciute (2023)

Out-of-distribution detection in digital pathology: Do foundation models bring the end to reconstruction-based approaches? - Milda Poceviciute; Yifan Ding; Ruben Bromée; Gabriel Eilertsen (Comput. Biol. Medicine, 2025)

Validation of Conformal Prediction in Cervical Atypia Classification. - Misgina Tsighe Hagos; Antti Suutala; Dmitrii Bychkov; Hakan Kücükel; Joar von Bahr; Milda Poceviciute; Johan Lundin; Nina Linder; Claes Lundström (CoRR, 2025)