173 citations · 237 across the 9 of their papers we have counts for
4 papers · 1 filter
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach
Tim Nikolass Lindeijer, Tord Martin Ytredal, Trygve Eftestøl +4
An accurate prostate delineation and volume characterization can support the clinical assessment of prostate cancer. A large amount of automatic prostate segmentation tools conside…
On undesired emergent behaviors in compound prostate cancer detection systems
Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl +4
Artificial intelligence systems show promise to aid in the di- agnostic pathway of prostate cancer (PC), by supporting radiologists in interpreting magnetic resonance images (MRI)…
Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection
Alvaro Fernandez-Quilez, Tobias Nordström, Fredrik Jäderling +2
Background: Prostate cancer (PC) MRI-based risk calculators are commonly based on biological (e.g. PSA), MRI markers (e.g. volume), and patient age. Whilst patient age measures the…
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis
Xiaoyi Ji, Richard Salmon, Nita Mulliqi +14
The potential of artificial intelligence (AI) in digital pathology is limited by technical inconsistencies in the production of whole slide images (WSIs), leading to degraded AI pe…