5 citations · 9 across the 12 of their papers we have counts for
13 papers
Technically Plausible but Clinically Misleading? Expert Evaluation of Patient-Personalized Synthetic Prostate MRI
Gabriel Paulo Maglalang Israel, Sol Gedde, Alvaro Fernandez-Quilez
Magnetic resonance imaging (MRI) is central to prostate cancer assessment, yet its acquisition is costly and time-consuming, making it a major bottleneck in the patient care pathwa…
Clinical Pathways Matter for Multimodal Deep Learning in Early Alzheimers Disease Detection
Yao Lu, Solveig Kristina Hammonds, Alvaro Fernandez-Quilez
Identifying individuals at risk of Alzheimer's disease (AD), particularly in the preclinical and early stages, remains challenging. Although deep learning approaches based on struc…
Neuropsychiatric Deviations From Normative Profiles: An MRI-Derived Marker for Early Alzheimer's Disease Detection
Synne Hjertager Osenbroch, Lisa Ramona Rosvold, Yao Lu +1
Neuropsychiatric symptoms (NPS) such as depression and apathy are common in Alzheimer's disease (AD) and often precede cognitive decline. NPS assessments hold promise as early dete…
Beyond the Signal: Medication State Effect on EEG-Based AI models for Parkinson's Disease
Anna Kurbatskaya, Fredrik Nilsen Låder, Andreas Solvang Nese +2
Parkinson's disease (PD) poses a growing challenge due to its increasing prevalence, complex pathology, and functional ramifications. Electroencephalography (EEG), when integrated…
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)…