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Dr. Jo presented his research at the Alzheimer's Association International Conference (AAIC) 2018. His poster presentation was titled "Multimodal-CNN: Improved Accuracy of MRI-based Classification of Alzheimer's Disease by Incorporating Clinical Data in Deep Learning."

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[2023/07/16] AAIC 2023 Poster Presentation - SWAT-Tab

Dr. Jo presented his research at the Alzheimer's Association International Conference (AAIC) 2023. His poster presentation, "Deep Learning-based SWAT-Tab Approach for Identifying Genetic Variants using Whole Genome Sequencing," was co-authored with Kwangsik Nho and Andrew J. Saykin.

Conference

[2023/07/16] AAIC 2023 Poster Presentation - Neuroimaging and Genetic Data Integration

Dr. Jo presented his research at the Alzheimer's Association International Conference (AAIC) 2023. His poster presentation, "Deep Learning-based Integration of Neuroimaging and Genetic Data for Classification of Alzheimer's Disease," explored novel approaches to combining multi-modal data for improved AD diagnosis.

Conference

[2021/07/26] AAIC 2021 Poster Presentation: Deep learning–based GWAS

Dr. Jo presented his research at the Alzheimer's Association International Conference (AAIC) 2021. His poster presentation, "Deep Learning–Based Genome‐Wide Association Analysis in Alzheimer's Disease," demonstrated a novel CNN approach analyzing over 12 million SNPs from 916 ADNI participants.

Conference

[2020/07/27] AAIC 2020 Poster Presentation: Flortaucipir PET Feature Detection

Dr. Jo presented his research at the Alzheimer's Association International Conference (AAIC) 2020. His presentation, "Deep Learning Detection of Informative Features in [18F] Flortaucipir PET for Alzheimer's Disease Classification," demonstrated a novel deep learning approach for analyzing tau PET imaging data to classify AD and MCI.

Conference

[2019/07/12] AAIC 2023 Poster Presentation - Multimodal-3DCNN

Dr. Jo presented his research at the Alzheimer's Association International Conference (AAIC) 2023. His poster presentation, "Multimodal-3DCNN: Diagnostic Classification of Alzheimer's Disease Using Deep Learning on Neuroimaging, Genetic, and Demographic Data," demonstrated a novel approach to integrating multiple data types for enhanced AD diagnosis.

Conference

[2018/07/22] AAIC 2018 Poster Presentation: Enhanced MRI-based Classification

Dr. Jo presented his research at the Alzheimer's Association International Conference (AAIC) 2018. His poster presentation was titled "Multimodal-CNN: Improved Accuracy of MRI-based Classification of Alzheimer's Disease by Incorporating Clinical Data in Deep Learning."

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