Author

Dimitris Stripelis

University of Southern CaliforniaORCID 0000-0003-3343-8335Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:contrastive learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Greg Ver SteegiD· 2 shared José Luis AmbiteiD· 2 shared Nikhil J. DhinagariD· 2 shared Paul M. ThompsoniD· 2 shared Sophia I. ThomopoulosiD· 2 shared Conor Owens‐WaltoniD· 1 shared Corey T. McMillaniD· 1 shared Daniel A. WeintraubiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Greg Ver SteegORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeuroscienceInternational Symposium on Medical Information Processing and Analysis (SIPAIM)Peer-reviewedMar 6, 2023

Evaluation of Transfer Learning Methods for Detecting Alzheimer's Disease with Brain MRI

Nikhil J. Dhinagar, Sophia I. Thomopoulos, Priya Rajagopalan…·Paul M. Thompson

This paper evaluates transfer learning methods for Alzheimer's disease classification using brain MRI, finding that contrastive learning improves performance, especially with limited data.

24 citationstop 1%

humanimaging

𝕏 PostBluesky

BioinformaticsInternational Symposium on Medical Information Processing and Analysis (SIPAIM)Peer-reviewedDec 10, 2021

3D Convolutional Neural Networks for Classification of Alzheimer's and Parkinson's Disease with T1-Weighted Brain MRI

Nikhil J. Dhinagar, Sophia I. Thomopoulos, Conor Owens‐Walton…·Paul M. Thompson

This paper proposes a 3D CNN for classifying Alzheimer's and Parkinson's disease using T1-weighted MRI, achieving higher ROC-AUC than random forest on multiple datasets.

21 citationstop 3%

humanimaging

𝕏 PostBluesky