1.3k citations
- Uppsala UniversitySE25 papers
- KTH Royal Institute of TechnologySE23 papers
- Karolinska InstitutetSE14 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Stockholm UniversitySE9 papers
- Swedish e-Science Research CentreSE6 papers
- Stanford UniversityUS4 papers
- University of GothenburgSE4 papers
- University of OxfordGB4 papers
- Chalmers University of TechnologySE3 papers
- European Bioinformatics InstituteGB3 papers
- Max Planck Institute for Biophysical ChemistryDE3 papers
68 papers
AI-based Prediction of Biochemical Recurrence from Biopsy and Prostatectomy Samples
Andrea Camilloni, Chiara Micoli, Nita Mulliqi +11
Biochemical recurrence (BCR) after radical prostatectomy (RP) is a surrogate marker for aggressive prostate cancer with adverse outcomes, yet current prognostic tools remain imprec…
Validation of Diagnostic Artificial Intelligence Models for Prostate Pathology in a Middle Eastern Cohort
Peshawa J. Muhammad Ali, Navin Vincent, Saman S. Abdulla +8
Background: Artificial intelligence (AI) is improving the efficiency and accuracy of cancer diagnostics. The performance of pathology AI systems has been almost exclusively evaluat…
Pursuit of biomarkers of brain diseases: Beyond cohort comparisons
Pascal Helson, Arvind Kumar
Despite the diversity and volume of brain data acquired and advanced AI-based algorithms to analyze them, brain features are rarely used in clinics for diagnosis and prognosis. Her…
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev, Usama Zafar, Salman Toor +1
Federated Learning enables collaborative training of machine learning models on decentralized data. This scheme, however, is vulnerable to adversarial attacks, when some of the cli…
Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry
Anders Blilie, Nita Mulliqi, Xiaoyi Ji +13
Prostate cancer diagnosis heavily relies on histopathological evaluation, which is subject to variability. While immunohistochemical staining (IHC) assists in distinguishing benign…
Foundation Models -- A Panacea for Artificial Intelligence in Pathology?
Nita Mulliqi, Anders Blilie, Xiaoyi Ji +28
The role of artificial intelligence (AI) in pathology has evolved from aiding diagnostics to uncovering predictive morphological patterns in whole slide images (WSIs). Recently, fo…