Radiology - project - Asaraog

Knee MRI Abnormality Detection

Author — Sat, 07 Nov 2026 19:00:00 -0800

Silver medal in Kaggle’s RSNA 2026 competition: 111th of 6,299 teams, 18th in the Efficiency Track The RSNA Knee Abnormality Detection competition asked for a probability of twelve findings, from ACL tears to Baker’s cysts, for each knee MRI study. Only 58 of the 4,407 training studies carried expert labels; the rest had a radiology report. This post is the solution I built with my teammate huytngo, also published as a Kaggle Writeup.

Neural EEG Decoding

Author — Tue, 24 Mar 2026 00:09:00 -0600

Neural EEG Decoding of Smell with Artificial Intelligence Masters of Science in Data Science Thesis School of Professional Studies, Northwestern University Abstract Although olfaction (sense of smell) and related structural abnormalities in the brain’s olfactory bulbs are among the first observed symptoms correlated with Alzheimer’s disease, the functional relationship between olfaction and regions of the brain is poorly understood. Understanding olfactory regions of interest is significant for radiologists in differentiating between olfactory symptoms caused by neurodegenerative diseases or other prevalent reasons such as aging.

Neural MRI Decoding

Author — Thu, 23 May 2024 00:09:00 -0600

Neural MRI Decoding of Smell with Generative AI Masters of Science in Data Science Thesis Proposal Also an oral presentation at symposium in Chicago, IL, November 2024. School of Professional Studies, Northwestern University Abstract Olfaction (sense of smell) and related structural abnormalities in the olfactory bulbs are among the first observed symptoms corelated with Alzhiemer’s disease (Esiri and Wilcock 1984; Thomann et al. 2009). The functional relationship between olfaction and the olfactory bulbs is poorly understood (Weiss et al.

Predicting Autism from MRI

Author — Fri, 13 May 2022 00:09:00 -0600

Predicting the Diagnosis of Autism using Classification Models based on fMRI Abstract Autism spectrum disorder is a lifelong neurodevelopmental disorder that is diagnosed based on behavioral and social interaction patterns. Predictive algorithms provide a novel approach in identifying key neurological biomarkers and subsequent psychiatric diagnosis using functional magnetic resonance imaging (fMRI) data. This study analyzes a dataset collected from studies at 17 international locations as part of the Autism Brain Imaging Dataset Exchange (ABIDE).