2 citations · 2 across the 4 of their papers we have counts for
5 papers
A Two-Scan Deep Learning Model for Predicting Dementia in Mild Cognitive Impairment
Alireza Moayedikia, Sara Fin, Alicia Troncoso Lora +3
Predicting which people with mild cognitive impairment (MCI) will develop dementia matters for starting treatment early, yet computational work on structural brain imaging has reli…
Dual Model Deep Learning for Alzheimer Prognostication
Alireza Moayedikia, Sara Fin, Uffe Kock Wiil
Disease modifying therapies for Alzheimer's disease demand precise timing decisions, yet current predictive models require longitudinal observations and provide no uncertainty quan…
MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction
Pardis Moradbeiki, Nasser Ghadiri, Sayed Jalal Zahabi +3
Accurate sarcopenia diagnosis via ultrasound remains challenging due to subtle imaging cues, limited labeled data, and the absence of clinical context in most models. We propose Me…
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach
Ricco Noel Hansen Flyckt, Louise Sjodsholm, Margrethe Høstgaard Bang Henriksen +7
Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount imp…
Modeling Suspicious Email Detection using Enhanced Feature Selection
Sarwat Nizamani, Nasrullah Memon, Uffe Kock Wiil +1
The paper presents a suspicious email detection model which incorporates enhanced feature selection. In the paper we proposed the use of feature selection strategies along with cla…